Robert Sutton

16.4k total citations · 1 hit paper
243 papers, 10.1k citations indexed

About

Robert Sutton is a scholar working on Surgery, Oncology and Epidemiology. According to data from OpenAlex, Robert Sutton has authored 243 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 167 papers in Surgery, 89 papers in Oncology and 41 papers in Epidemiology. Recurrent topics in Robert Sutton's work include Pancreatitis Pathology and Treatment (135 papers), Pancreatic and Hepatic Oncology Research (87 papers) and Pancreatic function and diabetes (24 papers). Robert Sutton is often cited by papers focused on Pancreatitis Pathology and Treatment (135 papers), Pancreatic and Hepatic Oncology Research (87 papers) and Pancreatic function and diabetes (24 papers). Robert Sutton collaborates with scholars based in United Kingdom, China and United States. Robert Sutton's co-authors include John P. Neoptolemos, Michael Raraty, Ole H. Petersen, Paula Ghaneh, David N. Criddle, Alexei V. Tepikin, Fiona Campbell, Christopher Halloran, Saxon Connor and Rajarshi Mukherjee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Robert Sutton

235 papers receiving 9.9k citations

Hit Papers

Acute Pancreatitis: Diagnosis and Treatment 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Sutton United Kingdom 58 6.5k 4.4k 1.7k 1.7k 1.6k 243 10.1k
Akihiro Ito Japan 52 3.7k 0.6× 2.9k 0.7× 3.2k 1.9× 1.2k 0.7× 2.5k 1.5× 541 10.5k
Tae Hyun Kim South Korea 54 3.6k 0.5× 3.3k 0.8× 1.5k 0.8× 1.0k 0.6× 3.0k 1.9× 452 10.8k
Prashanth Rawla United States 28 2.5k 0.4× 3.7k 0.8× 3.0k 1.8× 917 0.5× 3.0k 1.9× 59 10.1k
Paul J. Ross United Kingdom 44 3.0k 0.5× 4.2k 0.9× 1.2k 0.7× 810 0.5× 2.9k 1.8× 196 8.4k
Isao Sakaida Japan 50 2.6k 0.4× 1.5k 0.3× 2.6k 1.5× 3.6k 2.1× 1.4k 0.9× 394 10.0k
Bin Zhang China 52 1.8k 0.3× 2.1k 0.5× 1.9k 1.1× 1.5k 0.9× 1.6k 1.0× 673 11.8k
Wei Wang China 54 2.2k 0.3× 1.9k 0.4× 2.9k 1.7× 2.0k 1.2× 2.1k 1.3× 657 12.2k
Mitsuo Shimada Japan 70 9.9k 1.5× 5.9k 1.3× 3.8k 2.2× 4.1k 2.4× 4.2k 2.6× 847 20.5k
Hiroshi Wada Japan 45 3.2k 0.5× 2.3k 0.5× 2.6k 1.5× 1.0k 0.6× 1.9k 1.2× 497 8.9k
Kyung Sik Kim South Korea 47 3.2k 0.5× 2.2k 0.5× 1.1k 0.7× 1.8k 1.1× 2.0k 1.3× 361 7.6k

Countries citing papers authored by Robert Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Robert Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Sutton

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Sutton. A scholar is included among the top collaborators of Robert Sutton 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 Robert Sutton. Robert Sutton 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.
Rogers, Michael S., Neil M. Kershaw, Thomas Zacharchenko, et al.. (2025). Potent Preorganized Pyrazolidine Cyclophilin D Inhibitors Prevent Mitochondrial and Organ Injury in a Mouse Pancreatitis Disease Model. Journal of Medicinal Chemistry. 68(22). 23910–23924.
2.
Wang, Xiaofeng, Min Ding, Tong Zhou, et al.. (2025). Single‐Cell Transcriptomic Atlas of Peripheral Blood Reveals B‐Cell‐Driven Signature Predictive of Acute Pancreatitis Severity. MedComm. 6(10). e70350–e70350.
3.
Liu, Shiyu, Wenjuan Luo, Peter Szatmary, et al.. (2023). Monocytic HLA-DR Expression in Immune Responses of Acute Pancreatitis and COVID-19. International Journal of Molecular Sciences. 24(4). 3246–3246. 11 indexed citations
4.
He, Wenhua, Peng Chen, Yupeng Lei, et al.. (2022). Randomized controlled trial: neostigmine for intra-abdominal hypertension in acute pancreatitis. Critical Care. 26(1). 52–52. 15 indexed citations
6.
He, Wenhua, Wenhao Cai, Xinmin Yang, et al.. (2022). Insulin or blood purification treatment for hypertriglyceridaemia-associated acute pancreatitis: A systematic review and meta-analysis. Pancreatology. 22(7). 846–857. 6 indexed citations
7.
Jakubowska, Monika A., Xiaoying Zhang, Wei Huang, et al.. (2022). Activation of pancreatic stellate cells attenuates intracellular Ca2+ signals due to downregulation of TRPA1 and protects against cell death induced by alcohol metabolites. Cell Death and Disease. 13(8). 744–744. 19 indexed citations
10.
Jin, Tao, Lan Li, Lihui Deng, et al.. (2020). Hemoconcentration is associated with early faster fluid rate and increased risk of persistent organ failure in acute pancreatitis patients. JGH Open. 4(4). 684–691. 7 indexed citations
11.
Chvanov, Michael, Svetlana Voronina, Danielle Moore, et al.. (2019). LAP-like non-canonical autophagy and evolution of endocytic vacuoles in pancreatic acinar cells. Autophagy. 16(7). 1314–1331. 19 indexed citations
12.
Yao, Linbo, Chun‐Ru Cheng, Xinmin Yang, et al.. (2018). Ethyl pyruvate and analogs as potential treatments for acute pancreatitis: A review of in vitro and in vivo studies. Pancreatology. 19(2). 209–216. 11 indexed citations
13.
Li, Xuan, Hui Gao, Peter Szatmary, et al.. (2018). RCAN1 is a marker of oxidative stress, induced in acute pancreatitis. Pancreatology. 18(7). 734–741. 30 indexed citations
14.
Chvanov, Michael, Danielle Moore, Mark W. Sherwood, et al.. (2018). Intracellular rupture, exocytosis and actin interaction of endocytic vacuoles in pancreatic acinar cells: initiating events in acute pancreatitis. The Journal of Physiology. 596(13). 2547–2564. 23 indexed citations
15.
Sheel, Andrea, Ryan Baron, Ioannis Sarantitis, et al.. (2018). The diagnostic value of Rosemont and Japanese diagnostic criteria for ‘indeterminate’, ‘suggestive’, ‘possible’ and ‘early’ chronic pancreatitis. Pancreatology. 18(7). 774–784. 19 indexed citations
16.
Iglesia, Daniel de la, Wei Huang, Peter Szatmary, et al.. (2016). Efficacy of pancreatic enzyme replacement therapy in chronic pancreatitis: systematic review and meta-analysis. Gut. 66(8). 1354.1–1355. 118 indexed citations
17.
Huang, Wei, Matthew C. Cane, Rajarshi Mukherjee, et al.. (2015). Caffeine protects against experimental acute pancreatitis by inhibition of inositol 1,4,5-trisphosphate receptor-mediated Ca 2+ release. Gut. 66(2). 301–313. 77 indexed citations
18.
Jenkinson, C, Victoria A. Elliott, Usha Menon, et al.. (2014). Evaluation in pre-diagnosis samples discounts ICAM-1 and TIMP-1 as biomarkers for earlier diagnosis of pancreatic cancer. Journal of Proteomics. 113. 400–402. 34 indexed citations
19.
Sutton, Robert, et al.. (2014). Modelling the yaw dynamics of an uninhabited surface vehicle for navigation and control systems design. PEARL (University of Plymouth). 3 indexed citations
20.
Sutton, Robert. (2000). The knowing-doing gap. 183 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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