Jim Yee
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Obstetrics and Gynecology top 10%
- COVID-19 Impact on Reproduction
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 2
-
- COVID-19 Impact on Reproduction 2
- Pregnancy and preeclampsia studies 2
- Co-authors
- Zhen Zhao (10 shared papers)Amy Chadburn (7 shared papers)He S. Yang (7 shared papers)Melissa M. Cushing (6 shared papers)Sabrina Racine‐Brzostek (6 shared papers)Ashley Sukhu (4 shared papers)Zhengming Chen (4 shared papers)Sophie Rand (5 shared papers)
- Journals
- American Journal of Clinical Pathology (2 papers)Cytokine (1 paper)Clinical Chemistry (1 paper)Journal of General Internal Medicine (1 paper)American Journal of Obstetrics and Gynecology (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jim Yee
9 papers receiving 245 citations
Peers
Comparison fields: 5 of 34
- Infectious Diseases 151
- Obstetrics and Gynecology 40
- Modeling and Simulation 19
- Health 14
- Neurology 20
Countries citing papers authored by Jim Yee
This map shows the geographic impact of Jim 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 Jim Yee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Yee more than expected).
Fields of papers citing papers by Jim Yee
This network shows the impact of papers produced by Jim 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 Jim Yee. The network helps show where Jim Yee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jim Yee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 119 | |
| 2 | 2020 | 32 | |
| 3 | 2021 | 26 | |
| 4 | 2021 | 21 | |
| 5 | 2021 | 16 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 8 | |
| 9 | 2011 | 6 | |
| 10 | 2023 | 0 | |
| 11 | 2024 | 0 | |
| 12 | 2025 | 0 |
About Jim Yee
Jim Yee is a scholar working on Infectious Diseases, Obstetrics and Gynecology, Surgery, Health and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 247 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Impact on Reproduction (2 papers), COVID-19 Clinical Research Studies (2 papers), Pregnancy and preeclampsia studies (2 papers), Vaccine Coverage and Hesitancy (1 paper), Frailty in Older Adults (1 paper), COVID-19 and healthcare impacts (1 paper) and Acute Myocardial Infarction Research (1 paper). The work is most often cited by research in Infectious Diseases (151 citations), Obstetrics and Gynecology (40 citations), Modeling and Simulation (19 citations), Health (14 citations) and Neurology (20 citations). Jim Yee has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Zhen Zhao, Amy Chadburn, He S. Yang, Melissa M. Cushing, Sabrina Racine‐Brzostek, Ashley Sukhu, Zhengming Chen, Sophie Rand, Per Johan Klasse and Robert Zuk. Their work appears in journals such as American Journal of Clinical Pathology, Cytokine, Clinical Chemistry, Journal of General Internal Medicine and American Journal of Obstetrics and Gynecology.
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.