LabCompass

Patricia Sieber

Social Sciences · The Ohio State University

OpenAlex ORCID
Established · publishing since 1981
Chinese history and philosophyJapanese History and CultureAsian Culture and Media StudiesPhilippine History and CultureAntifungal resistance and susceptibility

Publications

67

Citations

431

Est. group size

—

Recurring co-author estimate

Active years

45

Publishing since 1981

Research summary
AI-generated

Patricia Sieber studies premodern and early modern Chinese literature and drama, with particular attention to Yuan dynasty song forms (sanqu), Chinese theater (xiqu), and the translation and circulation of texts across East and Southeast Asia. Her work often examines how vernacular and mixed-register writing (blending everyday speech with literary language) moved between languages and cultural contexts. Prospective students interested in Chinese literary history, drama studies, or translation studies within Asian studies may find her work relevant.

Chinese drama and theater (xiqu)Yuan dynasty song forms (sanqu)Translation and cross-cultural circulation of textsEarly modern Chinese literatureEast and Southeast Asian literary history

Publication output was modest and steady through the late 2010s, rose sharply to a peak in 2021-2022, and has since returned to a lower, steady pace in 2023-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.6/year recently
2017: 1 publication172018: 2 publications182019: 2 publications192020: 2 publications202021: 7 publications212022: 13 publications13222023: 1 publication232024: 2 publications242025: 2 publications2526
Recent publications
Publishes in
  • Journal of Chinese Literature and Culture×4
  • Amsterdam University Press eBooks×4
  • Figshare×4
  • Columbia University Press eBooks×2
  • Trends in Genetics×1
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By research-topic overlap

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.

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