Gary M. Ksander

1.4k citations
27 papers · 1.1k · h-index 14

Impact in

Papers in

Gary M. Ksander

27 papers receiving 1.0k citations

Peers

Gary M. Ksander
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 447
  • Endocrinology, Diabetes and Metabolism 194
  • Organic Chemistry 251
  • Pharmacology 59
  • Oncology 111
Replace Catherine Cazaubon with:
Catherine Cazaubon France
Uwe J. Ries Germany
Nobuyuki Negoro Japan
Angelo J. Trapani United States
Norbert Hauel Germany
Yoshiyuki Inada Japan
Georges Hirth Switzerland
Takehiko Naka Japan
Brian D. Dayton United States
Alexander Straub Germany
Gary M. Ksander relative to Catherine Cazaubon France Catherine Cazaubon's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gary M. Ksander

Since Specialization
Citations

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

Fields of papers citing papers by Gary M. Ksander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009406
2 200378
3 198774
4 199568
5 197768
6 197959
7 201650
8 199743
9 201335
10 198130
11 201523
12 199723
13 198919
14 199813
15 197611
16 201010
17 19949
18 19946
19 19895
20 19955

About Gary M. Ksander

Gary M. Ksander is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Organic Chemistry, Oncology and Physiology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (7 papers), Peptidase Inhibition and Analysis (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), Nitric Oxide and Endothelin Effects (5 papers), Receptor Mechanisms and Signaling (4 papers), Diabetes Treatment and Management (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (447 citations), Endocrinology, Diabetes and Metabolism (194 citations), Organic Chemistry (251 citations), Pharmacology (59 citations) and Oncology (111 citations). Gary M. Ksander has collaborated with scholars based in Switzerland, United States and Japan. Frequent co-authors include John E. McMurry, Arco Y. Jeng, Dean F. Rigel, R. Sarangapani, Jessie Gu, Adele Noè, Suzanne Maahs, William P. Dole, Monica Ligueros‐Saylan and Priya Chandra. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Cardiovascular Pharmacology, Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics and Tetrahedron Letters.

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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