Gary K. Yang

981 citations
31 papers · 814 · h-index 13

Impact in

Papers in

    • Diagnosis and Treatment of Venous Diseases 5
    • Pancreatic function and diabetes 3
    • Peripheral Artery Disease Management 2

Gary K. Yang

30 papers receiving 795 citations

Peers

Gary K. Yang
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 450
  • Nephrology 160
  • Internal Medicine 38
  • Surgery 333
  • Physiology 32
Replace Gaurav Aggarwala with:
Gaurav Aggarwala United States
Renato O. Crajoinas Brazil
L. C. Rump Germany
Christoph Schnack Austria
Laura Zingaro Italy
Machiko Asaka Japan
Lakshini Yasaswi Herat Australia
Mar‐Lee McKean United States
A Hornych France
Philipp Kalk Germany
Gary K. Yang relative to Gaurav Aggarwala United States Gaurav Aggarwala's profile →
Citations per field
00.5×5×10×16×
Gaurav Aggarwala · 1×
Citations per year

Countries citing papers authored by Gary K. Yang

Since Specialization
Citations

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

Fields of papers citing papers by Gary K. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary K. Yang. 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 Gary K. Yang. The network helps show where Gary K. Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014151
2 2014140
3 2010129
4 201093
5 201056
6 201839
7 201325
8 201522
9 201222
10 201517
11 201914
12 201914
13 200914
14 201211
15 20168
16 20108
17 20218
18 20217
19 20197
20 20196

About Gary K. Yang

Gary K. Yang is a scholar working on Surgery, Nephrology, Internal Medicine, Pulmonary and Respiratory Medicine and Physiology, having authored 31 papers that have together received 814 indexed citations. Recurring topics across this work include Diagnosis and Treatment of Venous Diseases (5 papers), Diabetes Treatment and Management (4 papers), Central Venous Catheters and Hemodialysis (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Pancreatic function and diabetes (3 papers), Adenosine and Purinergic Signaling (3 papers), Aortic Disease and Treatment Approaches (3 papers) and Peripheral Artery Disease Management (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (450 citations), Nephrology (160 citations), Internal Medicine (38 citations), Surgery (333 citations) and Physiology (32 citations). Gary K. Yang has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include David Z.I. Cherney, Bruce A. Perkins, Timothy J. Kieffer, Yin Nam Kwok, Yuliya Lytvyn, Marko Škrtić, Paul S. F. Yip, Ali Asadi, Yukihiro Fujita and Joël Gagnon. Their work appears in journals such as Journal of Vascular Surgery, Annals of Vascular Surgery, Phlebology The Journal of Venous Disease, Journal of Pharmacology and Experimental Therapeutics and Diabetic Medicine.

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.

Explore authors with similar magnitude of impact