Ganesan Arunagirinathan

595 total citations
9 papers, 391 citations indexed

About

Ganesan Arunagirinathan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Pharmacology. According to data from OpenAlex, Ganesan Arunagirinathan has authored 9 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Surgery and 2 papers in Pharmacology. Recurrent topics in Ganesan Arunagirinathan's work include Diabetes Treatment and Management (3 papers), Pharmacology and Obesity Treatment (2 papers) and Diet and metabolism studies (2 papers). Ganesan Arunagirinathan is often cited by papers focused on Diabetes Treatment and Management (3 papers), Pharmacology and Obesity Treatment (2 papers) and Diet and metabolism studies (2 papers). Ganesan Arunagirinathan collaborates with scholars based in United Kingdom and Singapore. Ganesan Arunagirinathan's co-authors include Joseph M Pappachan, George Varughese, Sunil Munshi, Fahmy Hanna, Ravinder Sodi, Catriona Clarke, Fraser W. Gibb, Rebecca M. Reynolds, Mark W. J. Strachan and John McKnight and has published in prestigious journals such as Diabetic Medicine, Current Hypertension Reports and World Journal of Diabetes.

In The Last Decade

Ganesan Arunagirinathan

8 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ganesan Arunagirinathan United Kingdom 7 159 132 102 65 55 9 391
A. Grimaldi France 10 214 1.3× 153 1.2× 158 1.5× 47 0.7× 67 1.2× 23 405
Uwe Primeßnig Germany 14 85 0.5× 277 2.1× 95 0.9× 185 2.8× 46 0.8× 27 595
Alessandro Bellis Italy 11 102 0.6× 181 1.4× 50 0.5× 109 1.7× 60 1.1× 18 378
Nathanne S. Ferreira Brazil 10 157 1.0× 107 0.8× 102 1.0× 190 2.9× 38 0.7× 17 480
Xingxu Wang China 13 77 0.5× 225 1.7× 69 0.7× 238 3.7× 61 1.1× 27 591
Samuel L. Abbate United States 8 171 1.1× 63 0.5× 87 0.9× 52 0.8× 68 1.2× 12 342
Beatriz Paradela‐Dobarro Spain 12 124 0.8× 111 0.8× 41 0.4× 80 1.2× 38 0.7× 20 381
Atheline Major‐Pedersen Denmark 14 271 1.7× 318 2.4× 110 1.1× 166 2.6× 61 1.1× 23 635
Itamar Raz Israel 8 252 1.6× 97 0.7× 110 1.1× 110 1.7× 26 0.5× 16 359

Countries citing papers authored by Ganesan Arunagirinathan

Since Specialization
Citations

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

Fields of papers citing papers by Ganesan Arunagirinathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesan Arunagirinathan

This figure shows the co-authorship network connecting the top 25 collaborators of Ganesan Arunagirinathan. A scholar is included among the top collaborators of Ganesan Arunagirinathan 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 Ganesan Arunagirinathan. Ganesan Arunagirinathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Arunagirinathan, Ganesan, et al.. (2024). P290 Could metformin be a viable treatment option for patients with cystic fibrosis diabetes?. Journal of Cystic Fibrosis. 23. S158–S158.
2.
Arunagirinathan, Ganesan, et al.. (2023). Is Type 2 Diabetes Mellitus a Behavioural Disorder? An Evidence Review for Type 2 Diabetes Mellitus Prevention and Remission through Lifestyle Modification. touchREVIEWS in Endocrinology. 19(1). 7–7. 8 indexed citations
3.
Pappachan, Joseph M, et al.. (2022). Statin-related Muscle Toxicity: An Evidence-based Review. touchREVIEWS in Endocrinology. 18(2). 89–89. 6 indexed citations
4.
Clarke, Catriona, Stuart A. Ritchie, Rebecca M. Reynolds, et al.. (2020). Impact of routine clinic measurement of serum C‐peptide in people with a clinician‐diagnosis of type 1 diabetes. Diabetic Medicine. 38(7). e14449–e14449. 28 indexed citations
5.
Arunagirinathan, Ganesan, et al.. (2020). Efficacy and Cardiovascular Safety of Alpha Glucosidase Inhibitors. Current Drug Safety. 16(2). 122–128. 19 indexed citations
6.
Pappachan, Joseph M, et al.. (2018). Pheochromocytomas and Hypertension. Current Hypertension Reports. 20(1). 3–3. 48 indexed citations
7.
Arunagirinathan, Ganesan, et al.. (2017). Diabetes mellitus and stroke: A clinical update. World Journal of Diabetes. 8(6). 235–235. 121 indexed citations
8.
Pappachan, Joseph M, et al.. (2013). Diabetic cardiomyopathy: Pathophysiology, diagnostic evaluation and management. World Journal of Diabetes. 4(5). 177–177. 143 indexed citations
9.
Pappachan, Joseph M, et al.. (2011). Management of Hypertension and Diabetes in Obesity: Non-Pharmacological Measures. International Journal of Hypertension. 2011. 1–6. 18 indexed citations

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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