Michelle Yee

642 citations
11 papers · 405 · h-index 10

Impact in

Papers in

    • Mycobacterium research and diagnosis 6
    • Trypanosoma species research and implications 1
    • Tuberculosis Research and Epidemiology 6

Michelle Yee

10 papers receiving 401 citations

Peers

Michelle Yee
Comparison fields: 5 of 46
  • Infectious Diseases 273
  • Molecular Medicine 39
  • Epidemiology 211
  • Molecular Biology 211
  • Neurology 21
Replace Maikel Boot with:
Maikel Boot Netherlands
Forrest Hopkins United States
Boon Heng Lee Singapore
Nicholas C. Poulton United States
Barry J. Wards New Zealand
Sophia A. Pacheco United States
Christopher Ealand South Africa
Nadine Ruecker United States
Thanh H. Pham United States
Sahadevan Raman United States
Michelle Yee relative to Maikel Boot Netherlands Maikel Boot's profile →
Citations per field
00.5×2.5×
Maikel Boot · 1×
Citations per year

Countries citing papers authored by Michelle Yee

Since Specialization
Citations

This map shows the geographic impact of Michelle Yee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michelle Yee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Yee more than expected).

Fields of papers citing papers by Michelle Yee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle Yee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michelle Yee. The network helps show where Michelle Yee may publish in the future.

Co-authors

The 25 scholars most cited alongside Michelle Yee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michelle Yee Line = papers co-authored together Michelle Yee links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2019100
2 202069
3 201664
4 201752
5 201730
6 201730
7 201629
8 202212
9 202310
10 20179
11 20230

About Michelle Yee

Michelle Yee is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Small Animals and Immunology, having authored 11 papers that have together received 405 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (6 papers), Biochemical and Molecular Research (5 papers), Infectious Diseases and Mycology (2 papers), Trypanosoma species research and implications (1 paper), Pharmacological Effects and Assays (1 paper), interferon and immune responses (1 paper) and Malaria Research and Control (1 paper). The work is most often cited by research in Infectious Diseases (273 citations), Molecular Medicine (39 citations), Epidemiology (211 citations), Molecular Biology (211 citations) and Neurology (21 citations). Michelle Yee has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Thomas Dick, Pooja Gopal, Véronique Dartois, Martin Gengenbacher, Jansy P. Sarathy, Jickky Palmae Sarathy, Firat Kaya, Eric J. Rubin, Priya Ragunathan and Gerhard Grüber. Their work appears in journals such as ACS Infectious Diseases, Nature Communications, Antimicrobial Agents and Chemotherapy, PLoS Pathogens and JAMA Surgery.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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