Gerald D. Frank

43 papers receiving 2.8k citations

Peers

Gerald D. Frank
Comparison fields: 5 of 99
  • Cardiology and Cardiovascular Medicine 830
  • Endocrinology, Diabetes and Metabolism 403
  • Immunology and Allergy 146
  • Physiology 543
  • Molecular Biology 1.4k
Replace Evangeline D. Motley with:
Evangeline D. Motley United States
Denis deBlois Canada
Juan-Li Gu United States
Terutaka Tsuda Japan
Petra Ročić United States
Sunny H. Zhang United States
Katalin Kauser United States
David G. Hassall United Kingdom
Shokei Kim Japan
Michael B. Stemerman United States
Gerald D. Frank relative to Evangeline D. Motley United States Evangeline D. Motley's profile →
Citations per field
00.5×1.5×
Evangeline D. Motley · 1×
Citations per year

Countries citing papers authored by Gerald D. Frank

Since Specialization
Citations

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

Fields of papers citing papers by Gerald D. Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald D. Frank. 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 Gerald D. Frank. The network helps show where Gerald D. Frank may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007341
2 2001243
3 1999150
4 2002141
5 2006118
6 2005111
7 2000105
8 2005104
9 2005102
10 200387
11 200282
12 200678
13 200265
14 200361
15 200258
16 200358
17 200358
18 198953
19 200252
20 200050

About Gerald D. Frank

Gerald D. Frank is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Physiology and Immunology and Allergy, having authored 43 papers that have together received 2.8k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (14 papers), Renin-Angiotensin System Studies (11 papers), Nitric Oxide and Endothelin Effects (10 papers), Receptor Mechanisms and Signaling (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), HER2/EGFR in Cancer Research (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (830 citations), Endocrinology, Diabetes and Metabolism (403 citations), Immunology and Allergy (146 citations), Physiology (543 citations) and Molecular Biology (1.4k citations). Gerald D. Frank has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Satoru Eguchi, Evangeline D. Motley, Tadashi Inagami, Haruhiko Ohtsu, Hiroyuki Suzuki, Peter J. Dempsey, Sadaharu Higuchi, Kunie Eguchi, Heigoro Shirai and H. Nakashima. Their work appears in journals such as Hypertension, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Arteriosclerosis Thrombosis and Vascular Biology and Endocrinology.

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