Lindsay E. Kuo

1.2k citations
69 papers · 822 · h-index 16

Impact in

Papers in

Lindsay E. Kuo

56 papers receiving 796 citations

Peers

Lindsay E. Kuo
Comparison fields: 5 of 95
  • Nephrology 140
  • Gender Studies 130
  • Surgery 258
  • Anatomy 8
  • Public Health, Environmental and Occupational Health 135
Replace Betty M. Drees with:
Betty M. Drees United States
Dana Weiß United States
Erika Brown United States
Tsuyoshi Isojima Japan
Randal D. Robinson United States
Akiko Aoki Japan
Mary Beth Clark United States
Julian Hanske United States
Berit Kriström Sweden
Micah J. Hill United States
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Citations per field
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Citations per year

Countries citing papers authored by Lindsay E. Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Lindsay E. Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lindsay E. Kuo. 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 Lindsay E. Kuo. The network helps show where Lindsay E. Kuo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006233
2 201554
3 202250
4 201933
5 200928
6 201628
7 201928
8 201825
9 201625
10 201524
11 201424
12 201423
13 202023
14 201619
15 201518
16 202016
17 202114
18 202014
19 201611
20 20229

About Lindsay E. Kuo

Lindsay E. Kuo is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Gender Studies and Endocrinology, Diabetes and Metabolism, having authored 69 papers that have together received 822 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (15 papers), Diversity and Career in Medicine (14 papers), Thyroid and Parathyroid Surgery (13 papers), Parathyroid Disorders and Treatments (11 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Medical Education and Admissions (6 papers), Adrenal and Paraganglionic Tumors (6 papers) and Dental Education, Practice, Research (5 papers). The work is most often cited by research in Nephrology (140 citations), Gender Studies (130 citations), Surgery (258 citations), Anatomy (8 citations) and Public Health, Environmental and Occupational Health (135 citations). Lindsay E. Kuo has collaborated with scholars based in United States and Germany. Frequent co-authors include Rachel R. Kelz, Kristina D. Simmons, Megan A. McSweeney, Dany Spencer Adams, Shipeng Yuan, Kenneth R. Robinson, Takahiro Fukumoto, R. Craig Albertson, Michael Levin and Pamela C. Yelick. Their work appears in journals such as Journal of Surgical Research, Surgery, Annals of Surgical Oncology, The American Journal of Surgery and Journal of surgical education.

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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