Sailesh Sankar

478 total citations
29 papers, 252 citations indexed

About

Sailesh Sankar is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery. According to data from OpenAlex, Sailesh Sankar has authored 29 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Sailesh Sankar's work include Chronic Disease Management Strategies (4 papers), Diabetes Management and Research (4 papers) and Surgical Simulation and Training (4 papers). Sailesh Sankar is often cited by papers focused on Chronic Disease Management Strategies (4 papers), Diabetes Management and Research (4 papers) and Surgical Simulation and Training (4 papers). Sailesh Sankar collaborates with scholars based in United Kingdom, Malaysia and India. Sailesh Sankar's co-authors include Harpal Randeva, Tim Robbins, Theodoros N. Arvanitis, Kiran Patel, Sarah N. Lim Choi Keung, Ioannis Kyrou, Sudhesh Kumar, Cain C. T. Clark, Asad Ali and Richard de Boer and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Environmental Research and Public Health and American Journal of Kidney Diseases.

In The Last Decade

Sailesh Sankar

29 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sailesh Sankar United Kingdom 9 58 49 47 39 35 29 252
David E. Kloecker United Kingdom 10 87 1.5× 60 1.2× 33 0.7× 30 0.8× 21 0.6× 15 308
Ladislav Štěpánek Czechia 10 80 1.4× 43 0.9× 19 0.4× 22 0.6× 28 0.8× 34 303
Carolina Knott-Torcal Spain 5 62 1.1× 58 1.2× 27 0.6× 52 1.3× 17 0.5× 8 313
Hasan Kayabaşı Türkiye 12 32 0.6× 58 1.2× 37 0.8× 26 0.7× 24 0.7× 35 340
Pieralessandro Lasalvia Colombia 10 54 0.9× 73 1.5× 19 0.4× 34 0.9× 22 0.6× 52 336
Azrah Y. Ahmed United States 8 27 0.5× 24 0.5× 31 0.7× 34 0.9× 31 0.9× 12 343
Louise Newson United Kingdom 11 78 1.3× 29 0.6× 65 1.4× 29 0.7× 31 0.9× 37 428
Linong Ji China 9 175 3.0× 66 1.3× 24 0.5× 30 0.8× 61 1.7× 23 390
Mahbube Ebrahimpur Iran 9 32 0.6× 75 1.5× 49 1.0× 14 0.4× 26 0.7× 40 333
Immacolata Ambrosino Italy 9 47 0.8× 21 0.4× 50 1.1× 9 0.2× 32 0.9× 15 304

Countries citing papers authored by Sailesh Sankar

Since Specialization
Citations

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

Fields of papers citing papers by Sailesh Sankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sailesh Sankar

This figure shows the co-authorship network connecting the top 25 collaborators of Sailesh Sankar. A scholar is included among the top collaborators of Sailesh Sankar 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 Sailesh Sankar. Sailesh Sankar 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.
Sankar, Sailesh, et al.. (2025). Using Large Language Models for multi-level commit message generation for large diffs. Information and Software Technology. 187. 107831–107831. 1 indexed citations
2.
Sankar, Sailesh, et al.. (2024). The economic and resource burden of e-scooter-related orthopaedic injuries: A district general hospital's experience. Injury. 55(6). 111493–111493. 1 indexed citations
3.
Langley, Chris, et al.. (2023). Closing the pandemic-related surgical training gap using cadaveric simulation. Bulletin of The Royal College of Surgeons of England. 105(4). 194–199. 1 indexed citations
4.
Robbins, Tim, Cain C. T. Clark, Theodoros N. Arvanitis, et al.. (2022). Digitally enabled flash glucose monitoring for inpatients with COVID-19: Feasibility and pilot implementation in a teaching NHS Hospital in the UK. Digital Health. 8. 2282029697–2282029697. 4 indexed citations
5.
Robbins, Tim, Ioannis Kyrou, Theodoros N. Arvanitis, et al.. (2022). Education and Training: Topol digital fellowship aspirants: Understanding the motivations, priorities and experiences of the next generation of digital health leaders. Future Healthcare Journal. 9(1). 51–56. 1 indexed citations
6.
Robbins, Tim, Ioannis Kyrou, Cain C. T. Clark, et al.. (2021). Healthcare Staff Perceptions Following Inoculation with the BNT162b2 mRNA COVID-19 Vaccine at University Hospitals Coventry & Warwickshire NHS Trust. International Journal of Environmental Research and Public Health. 18(17). 9378–9378. 4 indexed citations
7.
Kempegowda, Punith, Kristien Boelaert, Wiebke Arlt, et al.. (2021). Improving diabetes and endocrinology specialty training with modest resources: the Health Education West Midlands model. Future Healthcare Journal. 8(3). e644–e647. 1 indexed citations
8.
Robbins, Tim, Cain C. T. Clark, Kiran Patel, et al.. (2021). Hyperbaric oxygen therapy for the treatment of long COVID: early evaluation of a highly promising intervention. Clinical Medicine. 21(6). e629–e632. 48 indexed citations
9.
10.
Robbins, Tim, Ioannis Kyrou, Steven Laird, et al.. (2020). Healthcare staff perceptions and misconceptions regarding antibody testing in the United Kingdom: implications for the next steps for antibody screening. Journal of Hospital Infection. 111. 102–106. 4 indexed citations
11.
Robbins, Tim, Sarah N. Lim Choi Keung, Sailesh Sankar, Harpal Randeva, & Theodoros N. Arvanitis. (2020). Application of standardised effect sizes to hospital discharge outcomes for people with diabetes. BMC Medical Informatics and Decision Making. 20(1). 150–150. 3 indexed citations
12.
Kempegowda, Punith, Eka Melson, Lucretia Thomas, et al.. (2020). Simulation training using WhatsApp (Sim-thru-WhatsApp) improves doctors’ confidence in endocrine and diabetes case management. Clinical Medicine. 20(2). s62–s63. 1 indexed citations
13.
Robbins, Tim, et al.. (2020). A systematic review considering risk factors for mortality of patients discharged from hospital with a diagnosis of diabetes. Journal of Diabetes and its Complications. 34(11). 107705–107705. 5 indexed citations
14.
Melson, Eka, Lucretia Thomas, Dengyi Zhou, et al.. (2020). Simulation via instant messaging-Birmingham advance (SIMBA) model helped improve clinicians’ confidence to manage cases in diabetes and endocrinology. BMC Medical Education. 20(1). 274–274. 11 indexed citations
15.
Robbins, Tim, et al.. (2020). Rising to the challenge: Qualitative assessment of medical student perceptions responding to the COVID-19 pandemic. Clinical Medicine. 20(6). e244–e247. 20 indexed citations
16.
Robbins, Tim, Sarah N. Lim Choi Keung, Sailesh Sankar, Harpal Randeva, & Theodoros N. Arvanitis. (2019). Risk factors for readmission of inpatients with diabetes: A systematic review. Journal of Diabetes and its Complications. 33(5). 398–405. 26 indexed citations
17.
Jones, T., Sarah Wayte, Sailesh Sankar, et al.. (2013). Identification of Brown Adipose Tissue Using MR Imaging in a Human Adult With Histological and Immunohistochemical Confirmation. The Journal of Clinical Endocrinology & Metabolism. 99(1). E117–E121. 40 indexed citations
18.
Böckenhauer, Detlef, David Hampton, William van’t Hoff, et al.. (2011). A Family With Hyponatremia and the Nephrogenic Syndrome of Inappropriate Antidiuresis. American Journal of Kidney Diseases. 59(4). 566–568. 21 indexed citations
19.
Syed, Akheel A., et al.. (2009). Hypomania in a patient receiving testosterone replacement. 19. 2 indexed citations
20.
Randeva, HS, et al.. (2000). FATAL CHOLESTATIC JAUNDICE ASSOCIATED WITH AMITRIPTYLIN. International Journal of Clinical Practice. 54(6). 405–406. 10 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by David E. Kloecker Breakdown of academic impact, for papers by Ladislav Štěpánek Breakdown of academic impact, for papers by Carolina Knott-Torcal Breakdown of academic impact, for papers by Hasan Kayabaşı Breakdown of academic impact, for papers by Pieralessandro Lasalvia Breakdown of academic impact, for papers by Azrah Y. Ahmed Breakdown of academic impact, for papers by Louise Newson Breakdown of academic impact, for papers by Linong Ji Breakdown of academic impact, for papers by Mahbube Ebrahimpur Breakdown of academic impact, for papers by Immacolata Ambrosino
Rankless by CCL
2026