Mid career · publishing since 2005Rising activity
Radiomics and Machine Learning in Medical ImagingMedical Imaging Techniques and ApplicationsGut microbiota and healthGlioma Diagnosis and TreatmentCancer Research and Treatments
Publications
113
Citations
1,560
Est. group size
—
Recurring co-author estimate
Active years
22
Publishing since 2005
In context
Among 4,491 mid career Medicine PIs within our index
Citations: 1,560p25 240 · p75 1,552 · cohort median 614
Publications / year (recent): 11.2p25 1.8 · p75 7.2 · cohort median 3.4
Typically publishes in teams of ~16 · 4% small-team papers (≤3 authors) · across 24 venues
Publication cadence
Publications per year over the last 10 years — averaging 11.2/year recently
Collaborators per year
Distinct co-authors at University of Michigan each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.
Recent publications
- Connectivity Regression
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- Supplementary Tables from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
2023
- Supplementary Figure 5 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
2023
- Supplementary Figure 8 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
2023
- Supplementary Figure 8 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
2023
- Supplementary Figure 4 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
2023
- Supplementary Figure 7 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
2023
- Supplementary Figure 3 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
2023
- Supplementary Figure 6 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
2023
- Supplementary Figure Legends and Methods from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
2023
- Supplementary Figure 7 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
2023
- Supplementary Figure 3 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
2023
- Supplementary Figure 5 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
2023
- Supplementary Figure 4 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
2023
- Supplementary Figure 6 from A Coclinical Radiogenomic Validation Study: Conserved Magnetic Resonance Radiomic Appearance of Periostin-Expressing Glioblastoma in Patients and Xenograft Models
2023
Publishes in
- Cancer Research×3
- Nature Communications×2
- International Journal of Radiation Oncology*Biology*Physics×2
- Blood×2
- medRxiv×2
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 25, 2026.
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