Maniselvan Kuppusamy

663 citations
18 papers · 509 · h-index 12

Impact in

Papers in

Maniselvan Kuppusamy

18 papers receiving 503 citations

Peers

Maniselvan Kuppusamy
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 266
  • Geriatrics and Gerontology 27
  • Surgery 198
  • Cancer Research 61
  • Cardiology and Cardiovascular Medicine 71
Replace Jie Fang with:
Jie Fang China
Xiaocen Kong China
Carol Lenaghan United Kingdom
Heying Zhou Japan
Yinliang Zhang China
Xinli Zhou China
Danielle Lann United States
Stephen Djedjos United States
Hanmei Qi China
Masashi Ukai Japan
Maniselvan Kuppusamy relative to Jie Fang China Jie Fang's profile →
Citations per field
00.5×3.7×
Jie Fang · 1×
Citations per year

Countries citing papers authored by Maniselvan Kuppusamy

Since Specialization
Citations

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

Fields of papers citing papers by Maniselvan Kuppusamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201870
2 201768
3 201457
4 201551
5 201344
6 201444
7 201437
8 201729
9 201228
10 201327
11 201720
12 201711
13 20108
14 20147
15 20175
16 20171
17 20161
18 20171

About Maniselvan Kuppusamy

Maniselvan Kuppusamy is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Genetics and Physiology, having authored 18 papers that have together received 509 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (12 papers), Estrogen and related hormone effects (4 papers), Ion Transport and Channel Regulation (4 papers), Adrenal Hormones and Disorders (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Adrenal and Paraganglionic Tumors (3 papers), Angiogenesis and VEGF in Cancer (2 papers) and Electrolyte and hormonal disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (266 citations), Geriatrics and Gerontology (27 citations), Surgery (198 citations), Cancer Research (61 citations) and Cardiology and Cardiovascular Medicine (71 citations). Maniselvan Kuppusamy has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Celso E. Gómez-Sánchez, Gian Paolo Rossi, Teresa Maria Seccia, Brasilina Caroccia, Giulio Ceolotto, Livia Lenzini, Mallikarjuna R. Pabbidi, Sean P. Didion, Gian Paolo Fadini and Mattia Albiero. Their work appears in journals such as Endocrinology, Hypertension, The Journal of Clinical Endocrinology & Metabolism, Journal of Hypertension and Nitric Oxide.

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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