Rhoda E. Kuc

4.8k citations
98 papers · 3.4k indexed · h-index 30

Impact in

Papers in

Rhoda E. Kuc

98 papers receiving 3.3k citations

Peers

Rhoda E. Kuc
Comparison fields: 5 of 110
  • Cardiology and Cardiovascular Medicine 1.2k
  • Pharmacology 872
  • Physiology 1.2k
  • Endocrinology, Diabetes and Metabolism 559
  • Cellular and Molecular Neuroscience 507
Replace Kai Hu with:
Kai Hu Germany
Anindita Das United States
Howard Lippton United States
David Casley Australia
Fina Lovren Canada
Yukio Hara Japan
Lan Mao United States
Didier Laurent Switzerland
Marshall A. Corson United States
Ryuichi Hattori Japan
Rhoda E. Kuc relative to Kai Hu Germany Kai Hu's profile →
Citations per field
00.5×4.2×
Kai Hu · 1×
Citations per year

Countries citing papers authored by Rhoda E. Kuc

Since Specialization
Citations

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

Fields of papers citing papers by Rhoda E. Kuc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rhoda E. Kuc. 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 Rhoda E. Kuc. The network helps show where Rhoda E. Kuc may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 202214
3 20228
4 202111
5 202117
6 202118
7 201616
8 20151
9
Abstract 15352: ELABELA/Toddler, a Critical Regulator of Cardiac Development, is Expressed in the Human Cardiovascular System and Binds the Apelin Receptor
20142
10 201414
11 20121
12 201124
13 2006113
14 200444
15 200493
16 20031
17 200132
18 200028
19 19955
20 199256

About Rhoda E. Kuc

Rhoda E. Kuc is a scholar working on Physiology, Pharmacology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 98 papers that have together received 3.4k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (45 papers), Receptor Mechanisms and Signaling (30 papers), Apelin-related biomedical research (29 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (26 papers), Renin-Angiotensin System Studies (15 papers), Nuclear Receptors and Signaling (14 papers), Hormonal Regulation and Hypertension (8 papers) and Neuropeptides and Animal Physiology (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Pharmacology (872 citations), Physiology (1.2k citations), Endocrinology, Diabetes and Metabolism (559 citations) and Cellular and Molecular Neuroscience (507 citations). Rhoda E. Kuc has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Anthony P. Davenport, Janet J. Maguire, Gillian O’Reilly, Peter Molenaar, Christopher Plumpton, Peiran Yang, Andrew Sharkey, Cai Read, Robert C. Glen and Katherine Wiley. Their work appears in journals such as Journal of Cardiovascular Pharmacology, British Journal of Pharmacology, Life Sciences, Clinical Science and Peptides.

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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