Ajith Kumar

5.3k citations
37 papers · 887 · h-index 14

Impact in

Papers in

    • Adrenal and Paraganglionic Tumors 11
    • Cardiac Structural Anomalies and Repair 3
    • Epigenetics and DNA Methylation 3

Ajith Kumar

35 papers receiving 865 citations

Peers

Ajith Kumar
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 392
  • Cancer Research 184
  • Genetics 87
  • Genetics 227
  • Surgery 331
Replace Marthe Rizk‐Rabin with:
Marthe Rizk‐Rabin France
Michael Woloschak United States
Dalia L. Batista United States
Karen Stals United Kingdom
Emilia Ballarè Italy
Marica Arvigo Italy
Scott Akker United Kingdom
Véronique Gaston France
Mark J. McCabe United Kingdom
Charles Marcaillou France
Ajith Kumar relative to Marthe Rizk‐Rabin France Marthe Rizk‐Rabin's profile →
Citations per field
00.5×1.5×2.5×
Marthe Rizk‐Rabin · 1×
Citations per year

Countries citing papers authored by Ajith Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ajith Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014139
2 2010132
3 201194
4 201360
5 200860
6 201448
7 201047
8 201244
9 201340
10 202034
11 201631
12 200526
13 201315
14 199715
15 201612
16 201111
17 201810
18
Coexistence of congenital subaortic and sinus of valsalva aneurysms.
200310
19 20197
20 20226

About Ajith Kumar

Ajith Kumar is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics and Cardiology and Cardiovascular Medicine, having authored 37 papers that have together received 887 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (11 papers), Pituitary Gland Disorders and Treatments (9 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cardiac Arrhythmias and Treatments (3 papers), Cardiac Structural Anomalies and Repair (3 papers), Epigenetics and DNA Methylation (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (392 citations), Cancer Research (184 citations), Genetics (87 citations), Genetics (227 citations) and Surgery (331 citations). Ajith Kumar has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Márta Korbonits, Helen L. Storr, Sian Ellard, Karen Stals, Ashley Grossman, Scott Akker, Umasuthan Srirangalingam, Yvonne Wallis, Harvinder Chahal and Giampaolo Trivellin. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, JNCI Journal of the National Cancer Institute, Familial Cancer and European Journal of Human Genetics.

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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