James E. East

17.2k total citations · 2 hit papers
177 papers, 7.1k citations indexed

About

James E. East is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, James E. East has authored 177 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Oncology, 79 papers in Pulmonary and Respiratory Medicine and 58 papers in Surgery. Recurrent topics in James E. East's work include Colorectal Cancer Screening and Detection (104 papers), Gastric Cancer Management and Outcomes (69 papers) and Genetic factors in colorectal cancer (33 papers). James E. East is often cited by papers focused on Colorectal Cancer Screening and Detection (104 papers), Gastric Cancer Management and Outcomes (69 papers) and Genetic factors in colorectal cancer (33 papers). James E. East collaborates with scholars based in United Kingdom, United States and Netherlands. James E. East's co-authors include Brian P. Saunders, Noriko Suzuki, Evelien Dekker, Thomas Guenther, Matthew D. Rutter, Paul Bassett, Ana Ignjatovic, Huw Thomas, Raf Bisschops and Takashi Toyonaga and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

James E. East

168 papers receiving 7.0k citations

Hit Papers

European evidence based consensus for endoscopy in inflam... 2013 2026 2017 2021 2013 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James E. East United Kingdom 46 4.4k 3.4k 2.6k 1.5k 1.2k 177 7.1k
María Pellisé Spain 41 3.3k 0.8× 2.5k 0.7× 2.4k 0.9× 914 0.6× 1.1k 0.9× 212 5.5k
Chang Sik Yu South Korea 48 4.9k 1.1× 1.6k 0.5× 4.5k 1.7× 1.3k 0.8× 952 0.8× 375 8.5k
Tonya Kaltenbach United States 48 7.1k 1.6× 6.0k 1.8× 3.3k 1.3× 448 0.3× 2.2k 1.9× 244 9.8k
Shin‐ei Kudo Japan 47 5.1k 1.2× 5.3k 1.6× 3.9k 1.5× 511 0.3× 994 0.8× 319 8.9k
Jeong‐Sik Byeon South Korea 38 1.7k 0.4× 1.6k 0.5× 2.0k 0.8× 1.2k 0.8× 500 0.4× 291 4.8k
Roy Soetikno United States 37 2.8k 0.7× 4.1k 1.2× 2.6k 1.0× 503 0.3× 542 0.5× 169 6.3k
Krish Ragunath United Kingdom 45 1.6k 0.4× 4.2k 1.3× 5.1k 1.9× 709 0.5× 490 0.4× 204 7.0k
Frank P. Vleggaar Netherlands 42 2.1k 0.5× 3.7k 1.1× 4.6k 1.7× 615 0.4× 192 0.2× 160 7.0k
Rodger C. Haggitt United States 43 3.0k 0.7× 3.0k 0.9× 4.6k 1.8× 2.0k 1.3× 2.2k 1.9× 76 8.8k
Toshio Uraoka Japan 42 3.2k 0.7× 5.2k 1.5× 2.9k 1.1× 267 0.2× 586 0.5× 279 7.1k

Countries citing papers authored by James E. East

Since Specialization
Citations

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

Fields of papers citing papers by James E. East

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. East. 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 James E. East. The network helps show where James E. East may publish in the future.

Co-authorship network of co-authors of James E. East

This figure shows the co-authorship network connecting the top 25 collaborators of James E. East. A scholar is included among the top collaborators of James E. East 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 James E. East. James E. East 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
3.
East, James E., Remo Panaccione, Simon Travis, et al.. (2023). Artificial Intelligence in Inflammatory Bowel Disease Endoscopy: Implications for Clinical Trials. Journal of Crohn s and Colitis. 17(8). 1342–1353. 25 indexed citations
4.
Ali, Sharib, Debesh Jha, Noha Ghatwary, et al.. (2023). A multi-centre polyp detection and segmentation dataset for generalisability assessment. Scientific Data. 10(1). 75–75. 64 indexed citations
5.
East, James E., et al.. (2023). Artificial intelligence in inflammatory bowel disease: implications for clinical practice and future directions. Intestinal Research. 21(3). 283–294. 23 indexed citations
6.
Albéniz, Eduardo, James E. East, Nayantara Coelho‐Prabhu, et al.. (2022). Endoscopic management of patients with high-risk colorectal colitis–associated neoplasia: a Delphi study. Gastrointestinal Endoscopy. 97(4). 767–779.e6. 10 indexed citations
7.
8.
Curtius, Kit, Misha Kabir, Ibrahim Al Bakir, et al.. (2021). Multicentre derivation and validation of a colitis-associated colorectal cancer risk prediction web tool. Gut. 71(4). 705–715. 14 indexed citations
9.
Beintaris, Iosif, John E. Anderson, Sunil Dolwani, et al.. (2021). P25 Sigmoid looping: creation of domains for a magnetic endoscope imaging-based score. A54–A54.
10.
Nicholson, Brian D, et al.. (2020). Faecal immunochemical testing for adults with symptoms of colorectal cancer attending English primary care: a retrospective cohort study of 14 487 consecutive test requests. Alimentary Pharmacology & Therapeutics. 52(6). 1031–1041. 47 indexed citations
11.
Hayee, Bu, et al.. (2020). Multicentre prospective study of COVID-19 transmission following outpatient GI endoscopy in the UK. Gut. 70(5). 825–828. 24 indexed citations
12.
Rees, Colin, Sara Koo, John Anderson, et al.. (2019). British society of gastroenterology Endoscopy Quality Improvement Programme (EQIP): overview and progress. Frontline Gastroenterology. 10(2). 148–153. 19 indexed citations
13.
Monahan, Kevin, Nicola Bradshaw, Sunil Dolwani, et al.. (2019). Guidelines for the management of hereditary colorectal cancer from the British Society of Gastroenterology (BSG)/Association of Coloproctology of Great Britain and Ireland (ACPGBI)/United Kingdom Cancer Genetics Group (UKCGG). Gut. 69(3). 411–444. 255 indexed citations breakdown →
14.
Ragunath, Krish, Colin Rees, Cyriel Y. Ponsioen, et al.. (2018). Diagnostic accuracy of Endoscopic Trimodal Imaging and Chromoendoscopy for lesion characterisation in ulcerative colitis surveillance: ETMI or chromoendoscopy for lesion characterisation in colitis.. 1 indexed citations
15.
IJspeert, Joep, Nathan Atkinson, Yasmijn van Herwaarden, et al.. (2015). Clinical risk factors of colorectal cancer in patients with serrated polyposis syndrome: a multicentre cohort analysis. Gut. 66(2). 278–284. 68 indexed citations
16.
Rafferty, Hannah, Hayley L. Belnoue-Davis, Adam Bailey, et al.. (2013). PWE-161 Sessile Serrated Adenomas, Under-Recognised Endoscopically and Under Diagnosed Pathologically. Gut. 62(Suppl 1). A196.1–A196. 1 indexed citations
17.
Leedham, Simon J., Pedro Rodenas-Cuadrado, Kimberley Howarth, et al.. (2012). A basal gradient of Wnt and stem-cell number influences regional tumour distribution in human and mouse intestinal tracts. Gut. 62(1). 83–93. 69 indexed citations
18.
Rutter, Matthew D., et al.. (2012). USING A "CONVERSION FACTOR" TO ESTIMATE ADENOMA DETECTION RATE. Gut. 61. 4 indexed citations
19.
Almoudaris, Alex M., Alex Bottle, Paul Aylin, et al.. (2011). Surgery for benign colorectal polyps in England – trends and outcomes from 1997 to 2007: Table 1. Gut. 60(Suppl 1). A4.2–A5. 2 indexed citations
20.
East, James E., Noriko Suzuki, A. von Herbay, & Brian P. Saunders. (2006). Narrow band imaging with magnification for dysplasia detection and pit pattern assessment in ulcerative colitis surveillance: a case with multiple dysplasia associated lesions or masses. Gut. 55(10). 1432–1435. 63 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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