David Lee
Impact in
- Public Administration top 5%
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Single-cell and spatial transcriptomics 3
- Co-authors
- Matthew J. Butler (1 shared paper)Enrico Moretti (1 shared paper)John DiNardo (1 shared paper)Steven A. Rosenberg (2 shared papers)Willem W. Overwijk (1 shared paper)Kari R. Irvine (1 shared paper)Bernard Moss (1 shared paper)Chi-Chao Chan (1 shared paper)
- Journals
- Journal of the American College of Cardiology (3 papers)Molecular Cell (2 papers)Cell (2 papers)Journal of Vascular and Interventional Radiology (2 papers)The Quarterly Journal of Economics (2 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
David Lee
61 papers receiving 2.5k citations
David Lee's Hit Papers
Peers
Comparison fields: 5 of 159
- Public Administration 115
- Immunology 529
- Oncology 403
- Economics and Econometrics 426
- Political Science and International Relations 357
Countries citing papers authored by David Lee
This map shows the geographic impact of David Lee'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 David Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lee more than expected).
Fields of papers citing papers by David Lee
This network shows the impact of papers produced by David Lee. 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 David Lee. The network helps show where David Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside David Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Do Voters Affect or Elect Policies? Evidence from the U. S. House Hit paper breakdown → | 2004 | 483 |
| 2 | 1999 | 319 | |
| 3 | 2004 | 298 | |
| 4 | 2008 | 202 | |
| 5 | 2017 | 149 | |
| 6 | 1992 | 95 | |
| 7 | 2021 | 85 | |
| 8 | 2000 | 76 | |
| 9 | 2005 | 68 | |
| 10 | 2022 | 63 | |
| 11 | 1980 | 50 | |
| 12 | 2015 | 46 | |
| 13 | 2004 | 42 | |
| 14 | 2020 | 42 | |
| 15 | 2021 | 40 | |
| 16 | 2021 | 40 | |
| 17 | 2024 | 38 | |
| 18 | 2024 | 29 | |
| 19 | 2000 | 26 | |
| 20 | 2022 | 25 |
About David Lee
David Lee is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Immunology and Surgery, having authored 64 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (4 papers), Single-cell and spatial transcriptomics (3 papers), Dermatological and COVID-19 studies (3 papers), Virus-based gene therapy research (3 papers), T-cell and B-cell Immunology (3 papers), Immune cells in cancer (3 papers) and Head and Neck Cancer Studies (3 papers). The work is most often cited by research in Public Administration (115 citations), Immunology (529 citations), Oncology (403 citations), Economics and Econometrics (426 citations) and Political Science and International Relations (357 citations). David Lee has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Matthew J. Butler, Enrico Moretti, John DiNardo, Steven A. Rosenberg, Willem W. Overwijk, Kari R. Irvine, Bernard Moss, Chi-Chao Chan, Miles W. Carroll and Deborah R. Surman. Their work appears in journals such as Journal of the American College of Cardiology, Molecular Cell, Cell, Journal of Vascular and Interventional Radiology and The Quarterly Journal of Economics.
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.