Douglas Yee

25.8k citations
279 papers · 17.4k indexed · 3 hit papers · h-index 69

Impact in

Papers in

Douglas Yee

269 papers receiving 17.1k citations

Hit Papers

APOBEC3B is an enzymatic source of mutation in breast cancer 2013 · 639 citations
639201020262015202050010001.5k

Peers

Douglas Yee
Comparison fields: 5 of 168
  • Endocrinology, Diabetes and Metabolism 5.5k
  • Cancer Research 4.1k
  • Oncology 6.1k
  • Molecular Biology 9.9k
  • Genetics 2.1k
Replace Brett P. Monia with:
Brett P. Monia United States
Jan L. Breslow United States
Domenico Coppola United States
Donna M. Peehl United States
Helmut Klocker Austria
George Wilding United States
Martin Gleave Canada
Robert I. Nicholson United Kingdom
Tania Roskams Belgium
Waun Ki Hong United States
Douglas Yee relative to Brett P. Monia United States Brett P. Monia's profile →
Citations per field
00.5×3.4×
Brett P. Monia · 1×
Citations per year

Countries citing papers authored by Douglas Yee

Since Specialization
Citations

This map shows the geographic impact of Douglas 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 Douglas Yee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas Yee more than expected).

Fields of papers citing papers by Douglas Yee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douglas 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 Douglas Yee. The network helps show where Douglas Yee may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Douglas 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 Douglas Yee Line = papers co-authored together Douglas Yee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 202410
4 20241
5 20242
6 20237
7 20226
8 20204
9 201818
10 201722
11 201764
12 2017158
13 201749
14 2016160
15 201413
16 201452
17
Progesterona y cáncer de mama
20091
18
Hawai'i's role to increase public participation in health research.
20081
19 2000108
20 19938

About Douglas Yee

Douglas Yee is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 279 papers that have together received 17.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (116 papers), Metabolism, Diabetes, and Cancer (87 papers), Cancer, Hypoxia, and Metabolism (48 papers), Breast Cancer Treatment Studies (29 papers), HER2/EGFR in Cancer Research (29 papers), Estrogen and related hormone effects (27 papers), PI3K/AKT/mTOR signaling in cancer (25 papers) and Cancer Genomics and Diagnostics (20 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.5k citations), Cancer Research (4.1k citations), Oncology (6.1k citations), Molecular Biology (9.9k citations) and Genetics (2.1k citations). Douglas Yee has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Deepali Sachdev, James G. Jackson, Susan M. Gapstur, David M. Harlan, Edward L. Giovannucci, Michaël Pollak, Richard M. Bergenstal, Michael C. Archer, Laurel A. Habel and Judith G. Regensteiner. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Breast Cancer Research and Treatment, Clinical Cancer Research and Breast Cancer Research.

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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