Sandip Mondal
Agricultural and Biological Sciences · The Ohio State University
Publications
41
Citations
380
Est. group size
~1
Recurring co-author estimate
Active years
36
Publishing since 1991
Sandip Mondal works on plant-parasitic nematodes, especially root-knot nematodes (Meloidogyne species) that damage crops such as rice, cucumber, and guava, studying their identification, diversity, and management. Recent work also applies machine learning and image-based methods to identify nematode species, alongside related topics like fungal endophytes, soil microbial communities, and biocontrol approaches for sustainable agriculture.
Publication output has grown from about 1 paper per year in the late 2010s to roughly 5-7 papers per year since 2023, indicating an increasing and currently steady rate of activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Fungi as Therapeutics: Bridging Traditional Wisdom and Modern Medicine
New Zealand Journal of Botany · 2026
- A deep learning framework for species-level identification of root-knot nematodes using perineal pattern images
Scientific Reports · 2026
- Spatial and temporal variation of marine microbial populations
Elsevier eBooks · 2026
- Morphological and molecular characterisation of Hirschmanniella paramucronata n. sp. associated with rice from India
Scientific Reports · 2026
- Taxonomic profiling of nematode community using morphological and metabarcoding approaches under diverse irrigation systems
Scientific Reports · 2026
- Unlocking the Role of Rice Root Metabolites in Modulating <i>Meloidogyne graminicola</i> Chemotaxis
Journal of Agricultural and Food Chemistry · 2025
- Enhancing Prediction of Soybean Cyst Nematode Spatial Distribution Through Geostatistical Optimization: A Comparison of Manual and Automated Sampling Methods
Plant Disease · 2025
- Fungal diversity in termite nests associated with tea (Camellia sinensis) plantations: insights from DNA metabarcoding and culture-based analyses
Archives of Microbiology · 2025
- Machine Learning-Based Identification of Root Knot Nematodes: A Novel Paradigm in Precision Agriculture
Research Square · 2025
- Characterisation of root-knot nematode ( <i>Meloidogyne</i> spp.) races affecting Indian crops with a new report of <i>Meloidogyne javanica</i> race 7
Archives of Phytopathology and Plant Protection · 2025
- Machine Learning‐Based Identification of Root‐Knot Nematodes ( <i>Meloidogyne</i> spp.) at the Species Level Using Microscopic Images
Journal of Phytopathology · 2025
- Intraspecific variability of rice root knot nematodes across diverse agroecosystems for sustainable management
Scientific Reports · 2024
- Alteration of Rice Root Endophytic Bacterial Community Composition by Meloidogyne graminicola and Identification of Potential Biocontrol Agent
Annals of Microbiology · 2024
- Reversing the tide of trouble: harnessing invasive water hyacinth biochar to mitigate groundwater fluoride contamination
Biomass Conversion and Biorefinery · 2024
- Diversity and Distribution of Soil and Plant Nematodes in Mizoram, India
Indian Journal Of Nematology · 2024
- Scientific Reports×4
- Applied Soil Ecology×2
- Indian Phytopathology×2
- Archives of Phytopathology and Plant Protection×2
- Plant Disease×2
- T. L. Niblack
Agricultural and Biological Sciences · The Ohio State University
- Tracy E. Hawk
Agricultural and Biological Sciences · The Ohio State University
- Horacio D. Lopez‐Nicora
Agricultural and Biological Sciences · The Ohio State University
- Chenmi Mo
Agricultural and Biological Sciences · Purdue University West Lafayette
- H. A. Khan
Agricultural and Biological Sciences · Purdue University West Lafayette
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 19, 2026.
Claim or correct this profile