Sunjay Jain

2.5k total citations
62 papers, 1.6k citations indexed

About

Sunjay Jain is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Transplantation. According to data from OpenAlex, Sunjay Jain has authored 62 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Surgery, 14 papers in Public Health, Environmental and Occupational Health and 11 papers in Transplantation. Recurrent topics in Sunjay Jain's work include Organ Transplantation Techniques and Outcomes (13 papers), Surgical Simulation and Training (12 papers) and Bladder and Urothelial Cancer Treatments (12 papers). Sunjay Jain is often cited by papers focused on Organ Transplantation Techniques and Outcomes (13 papers), Surgical Simulation and Training (12 papers) and Bladder and Urothelial Cancer Treatments (12 papers). Sunjay Jain collaborates with scholars based in United Kingdom, United States and Netherlands. Sunjay Jain's co-authors include Peter A. Hall, M. I. Filipe, Michael L. Nicholson, Peter Furness, Bernard Maillet, S Staddon, Nicholas R. Lemoine, David P. Lane, Naushin Waseem and Christine M. Hughes and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Cancer Cell.

In The Last Decade

Sunjay Jain

59 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunjay Jain United Kingdom 19 720 530 421 357 222 62 1.6k
Lorna Marson United Kingdom 21 438 0.6× 336 0.6× 537 1.3× 262 0.7× 204 0.9× 48 1.5k
Yuzo Umeda Japan 26 1.0k 1.4× 791 1.5× 256 0.6× 368 1.0× 181 0.8× 167 2.0k
Laurent Sulpice France 25 1.3k 1.8× 832 1.6× 204 0.5× 704 2.0× 179 0.8× 95 2.1k
Eduardo Barroso Portugal 27 1.2k 1.6× 1.0k 1.9× 263 0.6× 582 1.6× 108 0.5× 92 2.3k
Masayoshi Okumi Japan 26 792 1.1× 441 0.8× 371 0.9× 456 1.3× 60 0.3× 186 2.1k
Christian Erbel Germany 22 513 0.7× 212 0.4× 363 0.9× 276 0.8× 90 0.4× 74 2.0k
Mark Denton United States 20 562 0.8× 283 0.5× 419 1.0× 339 0.9× 65 0.3× 54 2.0k
Emir Hoti Ireland 24 900 1.3× 496 0.9× 162 0.4× 324 0.9× 189 0.9× 81 1.9k
Erhard Hiller Germany 23 336 0.5× 306 0.6× 204 0.5× 241 0.7× 67 0.3× 96 2.0k
Sanna Siitonen Finland 23 240 0.3× 354 0.7× 427 1.0× 229 0.6× 205 0.9× 51 1.4k

Countries citing papers authored by Sunjay Jain

Since Specialization
Citations

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

Fields of papers citing papers by Sunjay Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunjay Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Sunjay Jain. A scholar is included among the top collaborators of Sunjay Jain 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 Sunjay Jain. Sunjay Jain 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.
Pears, Matthew, Karan Wadhwa, Stephen R. Payne, et al.. (2024). Non-technical Skills for Urology Trainees: A Double-Blinded Study of ChatGPT4 AI Benchmarking Against Consultant Interaction. PubMed. 9(1). 103–118. 2 indexed citations
2.
Jain, Sunjay, et al.. (2023). The importance of embedding an inclusive culture within healthcare teamwork education; an evaluation of implementation methods. Postgraduate Medical Journal. 99(1175). 1027–1032. 1 indexed citations
3.
Pears, Matthew, Karan Wadhwa, Vishwanath Hanchanale, et al.. (2023). ‘Bingo’-style cue identification techniques: enhancing non-technical skills in urology trainees. British journal of surgery. 110(11). 1549–1550. 1 indexed citations
4.
Hurst, Carolyn D., Guo Cheng, Fiona M. Platt, et al.. (2021). Stage-stratified molecular profiling of non-muscle-invasive bladder cancer enhances biological, clinical, and therapeutic insight. Cell Reports Medicine. 2(12). 100472–100472. 31 indexed citations
5.
6.
Pallari, Elena, Zarnie Khadjesari, Chandra Shekhar Biyani, et al.. (2019). Pilot implementation and evaluation of a national quality improvement taught curriculum for urology residents: Lessons from the United Kingdom. The American Journal of Surgery. 219(2). 269–277. 8 indexed citations
7.
Kailavasan, Mithun, Vishwanath Hanchanale, Sanjay Rajpal, et al.. (2018). A Method to Evaluate Trainee Progression During Simulation Training at the Urology Simulation Boot Camp (USBC) Course. Journal of surgical education. 76(1). 215–222. 15 indexed citations
8.
Agrawal, Shefali & Sunjay Jain. (2018). Potential prognostic biomarkers in pancreatic juice of resectable pancreatic ductal adenocarcinoma. HPB. 20. S534–S535. 2 indexed citations
9.
10.
Hurst, Carolyn D., Olivia Alder, Fiona M. Platt, et al.. (2017). Genomic Subtypes of Non-invasive Bladder Cancer with Distinct Metabolic Profile and Female Gender Bias in KDM6A Mutation Frequency. Cancer Cell. 32(5). 701–715.e7. 198 indexed citations
11.
Branney, Peter, et al.. (2009). Choosing Health, Choosing Treatment: Patient Choice After Diagnosis of Localized Prostate Cancer. Urology. 74(5). 968–971. 5 indexed citations
12.
Yang, Bin, et al.. (2006). Apoptosis and Caspase-3 in Long-Term Renal Ischemia/Reperfusion Injury in Rats and Divergent Effects of Immunosuppressants. Transplantation. 81(10). 1442–1450. 63 indexed citations
13.
Yang, Bin, et al.. (2005). Inflammation and caspase activation in long-term renal ischemia/reperfusion injury and immunosuppression in rats. Kidney International. 68(5). 2050–2067. 60 indexed citations
14.
Jain, Sunjay, et al.. (2002). Sequential protocol biopsies from renal transplant recipients show an increasing expression of active TGF β. Transplant International. 15(12). 630–634. 14 indexed citations
15.
Jain, Sunjay, G R Bicknell, P. H. Whiting, & Michael L. Nicholson. (2001). Rapamycin reduces expression of fibrosis-associated genes in an experimental model of renal ischaemia reperfusion injury. Transplantation Proceedings. 33(1-2). 556–558. 33 indexed citations
16.
Jain, Sunjay, et al.. (2000). Sub-clinical acute rejection detected using protocol biopsies in patients with delayed graft function. Transplant International. 13(7). S52–S55. 30 indexed citations
17.
White, Steven, Sunjay Jain, S. Williams, et al.. (2000). Randomized trial comparing neoral and tacrolimus immunousuppression for recipients of renal transplants procured from different donor groups. Transplantation Proceedings. 32(3). 600–600. 10 indexed citations
18.
Jain, Sunjay, et al.. (2000). Weekly protocol renal transplant biopsies allow detection of sub-clinical acute rejection episodes in patients with delayed graft function. Transplantation Proceedings. 32(1). 191–191. 11 indexed citations
19.
White, Sharon, et al.. (2000). Influence of delayed graft function in renal transplants from cadaveric or non–heart-beating donors. Transplantation Proceedings. 32(1). 189–189. 7 indexed citations
20.
Lemoine, Nicholas R., Sunjay Jain, Christine M. Hughes, et al.. (1992). Ki-ras oncogene activation in preinvasive pancreatic cancer. Gastroenterology. 102(1). 230–236. 202 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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