David Lee

59 papers receiving 2.4k citations

David Lee's Hit Papers

Do Voters Affect or Elect Policies? Evidence from the U. S. House 2004 · 479 citations
4790+7+14Years since publication100200300400

Peers

David Lee
Comparison fields: 5 of 160
  • Public Administration 113
  • Immunology 562
  • Economics and Econometrics 425
  • Political Science and International Relations 355
  • Oncology 417
Replace Stephen C. Smith with:
Stephen C. Smith United States
Darren W. Davis United States
David Harvey United Kingdom
Michael Allison United Kingdom
Howard R. Smith United States
Arthur M. Cohen United States
Hans Pruijt Netherlands
A.W. Barrett United Kingdom
Carlo Barone Italy
Steven J. Hughes United States
David Lee relative to Stephen C. Smith United States Stephen C. Smith's profile →
Citations per field
00.5×2.7×
Stephen C. Smith · 1×
Citations per year

Countries citing papers authored by David Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 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 →
2004479
2 1999318
3 2004294
4 2008201
5 2017144
6 199294
7 202183
8 200075
9 200567
10 202251
11 198050
12 201545
13 200442
14 202042
15 202139
16 202138
17 202435
18 200026
19 200424
20 200323

About David Lee

David Lee is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Epidemiology, having authored 66 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Single-cell and spatial transcriptomics (3 papers), Acute Ischemic Stroke Management (3 papers), CAR-T cell therapy research (3 papers) and Head and Neck Cancer Studies (3 papers). The work is most often cited by research in Public Administration (113 citations), Immunology (562 citations), Economics and Econometrics (425 citations), Political Science and International Relations (355 citations) and Oncology (417 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, Kari R. Irvine, Christopher E. Touloukian, Bernard Moss, Nicholas P. Restifo, Chi-Chao Chan and Deborah R. Surman. Their work appears in journals such as Journal of the American College of Cardiology, Cell, The Quarterly Journal of Economics, Journal of Biological Chemistry and Journal of Vascular and Interventional Radiology.

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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