Tamy Kim
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
- Economics and Econometrics top 10%
- Health Systems, Economic Evaluations, Quality of Life
- Pharmaceutical Economics and Policy
- Economic and Financial Impacts of Cancer
Papers in
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- Biomedical Ethics and Regulation 5
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- Statistical Methods in Clinical Trials 2
- Co-authors
- Richard M. Pazdur (9 shared papers)Paul Gustav Kluetz (6 shared papers)Julia A. Beaver (4 shared papers)Patricia A. Keegan (3 shared papers)Ann T. Farrell (2 shared papers)Rajeshwari Sridhara (2 shared papers)Kirsten B. Goldberg (2 shared papers)Gideon Michael Blumenthal (1 shared paper)
- Journals
- Clinical Cancer Research (3 papers)Journal of Clinical Oncology (2 papers)JAMA Oncology (2 papers)The Oncologist (1 paper)Nature Reviews Drug Discovery (1 paper)
- Partner nations
- United States
In The Last Decade
Tamy Kim
10 papers receiving 379 citations
Peers
Comparison fields: 5 of 51
- Statistics and Probability 66
- Economics and Econometrics 130
- Cancer Research 62
- Oncology 79
- Physiology 50
Countries citing papers authored by Tamy Kim
This map shows the geographic impact of Tamy Kim'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 Tamy Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamy Kim more than expected).
Fields of papers citing papers by Tamy Kim
This network shows the impact of papers produced by Tamy Kim. 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 Tamy Kim. The network helps show where Tamy Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamy Kim, 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 | 2018 | 246 | |
| 2 | 2022 | 60 | |
| 3 | 2015 | 30 | |
| 4 | 2018 | 21 | |
| 5 | 2020 | 16 | |
| 6 | 2015 | 6 | |
| 7 | 2016 | 4 | |
| 8 | 2021 | 4 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 1 |
About Tamy Kim
Tamy Kim is a scholar working on Physiology, Statistics and Probability, Economics and Econometrics, Toxicology and Safety, Risk, Reliability and Quality, having authored 10 papers that have together received 389 indexed citations. Recurring topics across this work include Biomedical Ethics and Regulation (5 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Statistical Methods in Clinical Trials (2 papers), Economic and Financial Impacts of Cancer (2 papers), Cancer Genomics and Diagnostics (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Safety Systems Engineering in Autonomy (1 paper) and Pharmacovigilance and Adverse Drug Reactions (1 paper). The work is most often cited by research in Statistics and Probability (66 citations), Economics and Econometrics (130 citations), Cancer Research (62 citations), Oncology (79 citations) and Physiology (50 citations). Tamy Kim has collaborated with scholars based in United States. Frequent co-authors include Richard M. Pazdur, Paul Gustav Kluetz, Julia A. Beaver, Patricia A. Keegan, Ann T. Farrell, Rajeshwari Sridhara, Kirsten B. Goldberg, Gideon Michael Blumenthal, Lynn Jackson Howie and Lorraine Cheryl Pelosof. Their work appears in journals such as Clinical Cancer Research, Journal of Clinical Oncology, JAMA Oncology, The Oncologist and Nature Reviews Drug Discovery.
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.