Nancy L. Cho

61 papers receiving 1.4k citations

Peers

Nancy L. Cho
Comparison fields: 5 of 103
  • Endocrinology, Diabetes and Metabolism 575
  • Gender Studies 203
  • Nephrology 90
  • Pathology and Forensic Medicine 184
  • Oncology 274
Replace Adrienne Melck with:
Adrienne Melck Canada
Leo Plouffe United States
Akiva P. Novetsky United States
Paresh C. Shah United States
Kotaro Maeda Japan
Lene Lundvall Denmark
Tetsuhiro Owaki Japan
Stephanie Daignault‐Newton United States
Haoling H. Weng United States
Constantine Godellas United States
Nancy L. Cho relative to Adrienne Melck Canada Adrienne Melck's profile →
Citations per field
00.5×8.7×
Adrienne Melck · 1×
Citations per year

Countries citing papers authored by Nancy L. Cho

Since Specialization
Citations

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

Fields of papers citing papers by Nancy L. Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy L. Cho. 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 Nancy L. Cho. The network helps show where Nancy L. Cho may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201189
2 200787
3 200978
4 201566
5 201564
6 201461
7 201952
8 201952
9 202051
10 201150
11 200846
12 201343
13 201943
14 201841
15 201835
16 201934
17 202133
18 201928
19 200627
20 201627

About Nancy L. Cho

Nancy L. Cho is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Oncology and Public Health, Environmental and Occupational Health, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (23 papers), Thyroid and Parathyroid Surgery (13 papers), Diversity and Career in Medicine (10 papers), BRCA gene mutations in cancer (8 papers), Medical Education and Admissions (8 papers), Dental Education, Practice, Research (7 papers), Head and Neck Anomalies (6 papers) and Estrogen and related hormone effects (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (575 citations), Gender Studies (203 citations), Nephrology (90 citations), Pathology and Forensic Medicine (184 citations) and Oncology (274 citations). Nancy L. Cho has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Francis D. Moore, Monica M. Bertagnolli, Matthew A. Nehs, Daniel T. Ruan, Erik K. Alexander, Adelaide M. Carothers, Atul A. Gawande, Justine A. Barletta, Ellen Marqusee and Gerard M. Doherty. Their work appears in journals such as Annals of Surgical Oncology, Cancer Research, Journal of Surgical Research, Surgery and Journal of the American College of Surgeons.

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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