Amy Mohan

1.9k citations
30 papers · 1.5k · h-index 21

Impact in

Papers in

    • Signaling Pathways in Disease 8
    • Phosphodiesterase function and regulation 3
    • Receptor Mechanisms and Signaling 2
    • Renin-Angiotensin System Studies 4
    • Cardiac Fibrosis and Remodeling 3
    • Cardiac electrophysiology and arrhythmias 2

Amy Mohan

28 papers receiving 1.5k citations

Peers

Amy Mohan
Comparison fields: 5 of 88
  • Immunology 340
  • Cardiology and Cardiovascular Medicine 292
  • Molecular Biology 735
  • Immunology and Allergy 57
  • Hematology 93
Replace Guenter Daum with:
Guenter Daum United States
Vyacheslav A. Korshunov United States
Yukihiro Hojo Japan
Ronald Vergona United States
Giuseppe Straface Italy
Anke Doller Germany
Monique Philippe France
Beverley Koller United States
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Patrizia Dentelli Italy
Amy Mohan relative to Guenter Daum United States Guenter Daum's profile →
Citations per field
00.5×1.6×
Guenter Daum · 1×
Citations per year

Countries citing papers authored by Amy Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Amy Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy Mohan. 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 Amy Mohan. The network helps show where Amy Mohan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009321
2 2008165
3 2010146
4 200699
5 200697
6 200482
7 201173
8 200752
9 200947
10 201845
11 200045
12 201844
13 201932
14 200632
15 202028
16 202122
17 202022
18 201322
19 202120
20 200220

About Amy Mohan

Amy Mohan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Pulmonary and Respiratory Medicine and Physiology, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (8 papers), Renin-Angiotensin System Studies (4 papers), Galectins and Cancer Biology (3 papers), Phosphodiesterase function and regulation (3 papers), Cell Adhesion Molecules Research (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Immunology (340 citations), Cardiology and Cardiovascular Medicine (292 citations), Molecular Biology (735 citations), Immunology and Allergy (57 citations) and Hematology (93 citations). Amy Mohan has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Bradford C. Berk, Yan Chen, Michael R. O’Dell, Jun‐ichi Abe, Patrizia Nigro, Zhaoqiang Cui, Kimio Satoh, Vyacheslav A. Korshunov, Tetsuya Matoba and Xi Shi. Their work appears in journals such as Circulation, Circulation Research, Arteriosclerosis Thrombosis and Vascular Biology, Hypertension and American Journal of Physiology-Heart and Circulatory Physiology.

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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