Gerald D. Frank

43 papers receiving 2.8k citations

Peers

Gerald D. Frank
Comparison fields: 5 of 98
  • Cardiology and Cardiovascular Medicine 914
  • Endocrinology, Diabetes and Metabolism 464
  • Immunology and Allergy 153
  • Physiology 610
  • Molecular Biology 1.6k
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
Katalin Kauser United States
Sunny H. Zhang United States
Masahiko Igarashi Japan
Yoshihiro Taniyama Japan
David G. Hassall United Kingdom
Gerald D. Frank relative to Evangeline D. Motley United States Evangeline D. Motley's profile →
Citations per field
00.5×1.5×2.0×
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-authorship network

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
#Work
1 201232
2 200626
3 200644
4 200615
5 2005104
6 2005110
7 200541
8 200535
9 200419
10 200242
11 200252
12 200265
13 20025
14 200114
15 200144
16 2001243
17 2000105
18 200050
19 1999150
20 199938

About Gerald D. Frank

Gerald D. Frank is a scholar working on Immunology and Allergy, Cardiology and Cardiovascular Medicine, Oncology, Molecular Biology and Physiology, 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 (12 papers), Nitric Oxide and Endothelin Effects (9 papers), Receptor Mechanisms and Signaling (9 papers), Cytokine Signaling Pathways and Interactions (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Protein Tyrosine Phosphatases (4 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (914 citations), Endocrinology, Diabetes and Metabolism (464 citations), Immunology and Allergy (153 citations), Physiology (610 citations) and Molecular Biology (1.6k citations). Gerald D. Frank has collaborated with scholars based in United States, Japan and Australia. 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, Endocrinology, Arteriosclerosis Thrombosis and Vascular Biology and Biochemical and Biophysical Research Communications.

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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