Ajith Kumar

5.3k total citations
37 papers, 887 citations indexed

About

Ajith Kumar is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ajith Kumar has authored 37 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 11 papers in Molecular Biology and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ajith Kumar's work include Adrenal and Paraganglionic Tumors (11 papers), Pituitary Gland Disorders and Treatments (9 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Ajith Kumar is often cited by papers focused on Adrenal and Paraganglionic Tumors (11 papers), Pituitary Gland Disorders and Treatments (9 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Ajith Kumar collaborates with scholars based in United Kingdom, India and United States. Ajith Kumar's co-authors include Márta Korbonits, Helen L. Storr, Ashley Grossman, Karen Stals, Sian Ellard, Scott Akker, Yvonne Wallis, Umasuthan Srirangalingam, Harvinder Chahal and J. Paul Chapple and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Brain.

In The Last Decade

Ajith Kumar

35 papers receiving 865 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ajith Kumar United Kingdom 14 392 331 273 227 184 37 887
Karen Stals United Kingdom 14 456 1.2× 520 1.6× 340 1.2× 310 1.4× 73 0.4× 31 938
Marthe Rizk‐Rabin France 18 243 0.6× 263 0.8× 246 0.9× 91 0.4× 171 0.9× 37 828
Dalia L. Batista United States 14 719 1.8× 371 1.1× 732 2.7× 126 0.6× 568 3.1× 18 1.6k
Scott Akker United Kingdom 23 987 2.5× 614 1.9× 176 0.6× 110 0.5× 172 0.9× 58 1.3k
Michael Woloschak United States 14 609 1.6× 127 0.4× 336 1.2× 98 0.4× 114 0.6× 23 848
Emilia Ballarè Italy 13 368 0.9× 114 0.3× 347 1.3× 213 0.9× 58 0.3× 14 757
Claudine Rieubland Switzerland 11 385 1.0× 486 1.5× 170 0.6× 93 0.4× 449 2.4× 25 807
Marica Arvigo Italy 22 695 1.8× 244 0.7× 244 0.9× 64 0.3× 70 0.4× 48 1.2k
Roger Gejman Chile 8 338 0.9× 209 0.6× 862 3.2× 73 0.3× 761 4.1× 18 1.3k
Véronique Gaston France 14 252 0.6× 487 1.5× 681 2.5× 616 2.7× 462 2.5× 22 1.4k

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-authorship network of co-authors of Ajith Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ajith Kumar. A scholar is included among the top collaborators of Ajith Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ajith Kumar. Ajith Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kumar, Ajith, Angela F. Brady, Tessa Homfray, et al.. (2022). Expanding the phenotype of TAB2 variants and literature review. American Journal of Medical Genetics Part A. 188(11). 3331–3342. 6 indexed citations
2.
Kumar, Ajith, et al.. (2018). Valsalva maculopathy: To treat or not to treat. Oman Journal of Ophthalmology. 11(1). 78–78. 5 indexed citations
3.
Stiles, Craig E, Raj Thuraisingham, Detlef Böckenhauer, et al.. (2018). De novo HNF1 homeobox B mutation as a cause for chronic, treatment-resistant hypomagnesaemia. Endocrinology Diabetes and Metabolism Case Reports. 2018. 10 indexed citations
4.
5.
Manchanda, Ranjit, K Loggenberg, Saskia C. Sanderson, et al.. (2014). Population Testing for Cancer Predisposing BRCA1/BRCA2 Mutations in the Ashkenazi-Jewish Community: A Randomized Controlled Trial. JNCI Journal of the National Cancer Institute. 107(1). 379–379. 139 indexed citations
6.
Klaassens, Merel, Deborah Morrogh, Elisabeth Rosser, et al.. (2014). Malan syndrome: Sotos-like overgrowth with de novo NFIX sequence variants and deletions in six new patients and a review of the literature. European Journal of Human Genetics. 23(5). 610–615. 48 indexed citations
7.
Chava, Srinivas, et al.. (2013). Role of Human papilloma virus Infection and Altered Methylation of Specific Genes in Esophageal Cancer. Asian Pacific Journal of Cancer Prevention. 14(7). 4187–4193. 15 indexed citations
8.
Korbonits, Márta & Ajith Kumar. (2012). AIP-Related Familial Isolated Pituitary Adenomas. 6 indexed citations
9.
Chava, Srinivas, et al.. (2011). Evaluation of Aurora-A Gene Polymorphism and Esophageal Cancer Risk in a South Indian Population. Genetic Testing and Molecular Biomarkers. 15(3). 185–189. 11 indexed citations
10.
Chahal, Harvinder, Karen Stals, Martina Unterländer, et al.. (2011). AIPMutation in Pituitary Adenomas in the 18th Century and Today. New England Journal of Medicine. 364(1). 43–50. 94 indexed citations
11.
Chava, Srinivas, Preetha J. Shetty, Ajith Kumar, et al.. (2011). Epigenetics and Esophageal Cancer: Role of Altered Methylation in Specific Genes. International Journal of Cancer Research. 7(3). 233–243. 2 indexed citations
12.
Chahal, Harvinder, Peter King, Graeme B. Bolger, et al.. (2010). Functional characterisation of aryl hydrocarbon receptor interacting protein (AIP) promoter and silent mutations. 21. 1 indexed citations
13.
Igreja, Susana, Peter King, Graeme B. Bolger, et al.. (2010). Characterization of aryl hydrocarbon receptor interacting protein (AIP) mutations in familial isolated pituitary adenoma families. Human Mutation. 31(8). 950–960. 132 indexed citations
14.
Slade, Ingrid, Anne R. Murray, Sandra Hanks, et al.. (2010). Heterogeneity of familial medulloblastoma and contribution of germline PTCH1 and SUFU mutations to sporadic medulloblastoma. Familial Cancer. 10(2). 337–342. 47 indexed citations
15.
Walia, Rama, Anil Bhansali, Ajith Kumar, et al.. (2009). Multiple Endocrine Neoplasia Type-1. The Endocrinologist. 19(4). 164–166.
16.
Harikrishnan, S, Anil K. Bhat, Jaganmohan Tharakan, et al.. (2006). Percutaneous transvenous mitral commissurotomy using metallic commissurotome: long-term follow-up results.. PubMed. 18(2). 54–8. 1 indexed citations
17.
Tharakan, Jaganmohan A., et al.. (2005). Ventricular septal rupture following myocardial infarction. Acta Cardiologica. 60(4). 403–407. 3 indexed citations
18.
Harikrishnan, S, et al.. (2005). Long-Term Outcome of Patients Undergoing Balloon Mitral Valvotomy in Pregnancy. The American Journal of Cardiology. 95(12). 1504–1506. 26 indexed citations
19.
Seller, Mary J., Claudine Fear, Ajith Kumar, & Shehla Mohammed. (2004). Trisomy 16 in a mid-trimester IVF foetus with multiple abnormalities. Clinical Dysmorphology. 13(3). 187–189. 4 indexed citations
20.
Kumar, Ajith, et al.. (2004). Right ventricular pacing via left superior vena cava.. PubMed. 56(2). 150–1.

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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