Kevin C. Conlon

24.1k total citations · 1 hit paper
186 papers, 9.9k citations indexed

About

Kevin C. Conlon is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kevin C. Conlon has authored 186 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Surgery, 106 papers in Oncology and 39 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kevin C. Conlon's work include Pancreatic and Hepatic Oncology Research (96 papers), Pancreatitis Pathology and Treatment (63 papers) and Neuroendocrine Tumor Research Advances (20 papers). Kevin C. Conlon is often cited by papers focused on Pancreatic and Hepatic Oncology Research (96 papers), Pancreatitis Pathology and Treatment (63 papers) and Neuroendocrine Tumor Research Advances (20 papers). Kevin C. Conlon collaborates with scholars based in Ireland, United States and Canada. Kevin C. Conlon's co-authors include Murray F. Brennan, David S. Klimstra, Martin S. Karpeh, Sui Zee, Leslie H. Blumgart, Volkan Adsay, Paul F. Ridgway, Sinead N. Duggan, Ellen Dougherty and William R. Jarnagin and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Kevin C. Conlon

183 papers receiving 9.6k citations

Hit Papers

Long-Term Survival After Curative Resection for Pancreati... 1996 2026 2006 2016 1996 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Long-Term Survival After Curative Resection for Pancreatic Ductal Adenocarcinoma
    1996 580 citations Kevin C. Conlon, David S. Klimstra et al. Annals of Surgery profile →

Peers

Kevin C. Conlon
David A. Kooby United States
José G. Guillem United States
Nora A. Janjan United States
John H. Donohue United States
Shishir K. Maithel United States
James M. Church United States
Ian C. Lavery United States
David P. Jaques United States
Ignace H. J. T. de Hingh Netherlands
Alexis Ulrich Germany
David A. Kooby United States
Kevin C. Conlon
Citations per year, relative to Kevin C. Conlon Kevin C. Conlon (= 1×) peers David A. Kooby

Countries citing papers authored by Kevin C. Conlon

Since Specialization
Citations

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

Fields of papers citing papers by Kevin C. Conlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin C. Conlon. 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 Kevin C. Conlon. The network helps show where Kevin C. Conlon may publish in the future.

Co-authorship network of co-authors of Kevin C. Conlon

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin C. Conlon. A scholar is included among the top collaborators of Kevin C. Conlon 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 Kevin C. Conlon. Kevin C. Conlon 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.
Marcone, Simone, Caitríona Scaife, Elaine Kenny, et al.. (2025). Multi-omic biomarker panel in pancreatic cyst fluid and serum predicts patients at a high risk of pancreatic cancer development. Scientific Reports. 15(1). 129–129. 2 indexed citations
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O'Connell, J E A, Cian Muldoon, Niall Swan, et al.. (2020). Selective Resection of Type 1 Gastric Neuroendocrine Neoplasms and the Risk of Progression in an Endoscopic Surveillance Programme. Digestive Surgery. 38(1). 38–45. 15 indexed citations
5.
Balakrishnan, Anita, Mickaël Lesurtel, Ajith K. Siriwardena, et al.. (2020). Delivery of hepato-pancreato-biliary surgery during the COVID-19 pandemic: an European-African Hepato-Pancreato-Biliary Association (E-AHPBA) cross-sectional survey. HPB. 22(8). 1128–1134. 20 indexed citations
6.
Guinan, Emer, Tamasine Grimes, Derek J. Sullivan, et al.. (2018). Attitudes to Interprofessional Education Among Health Science Students Engaging in a Multidisciplinary Workshop Series. Digital Commons - East Tennessee State University (East Tennessee State University). 5(1). Abstract–Table 5. 3 indexed citations
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Duggan, Sinead N., Oonagh Griffin, Donal B O’Connor, et al.. (2017). The potential role of gut microbiota in pancreatic disease: A systematic review. Pancreatology. 17(6). 867–874. 69 indexed citations
9.
Røsok, Bård I., Thijs de Rooij, Jony van Hilst, et al.. (2017). Minimally invasive distal pancreatectomy. HPB. 19(3). 205–214. 45 indexed citations
10.
Bhatt, Nikita, Gerard A. Sheridan, Maureen Connolly, et al.. (2015). Postoperative exercise training is associated with reduced respiratory infection rates and early discharge: A case-control study. The Surgeon. 15(3). 139–146. 16 indexed citations
11.
Gallagher, Tom, Emir Hoti, Donal Maguire, et al.. (2014). Incidence and risk factors of delirium in patients post pancreaticoduodenectomy. HPB. 16(9). 864–869. 22 indexed citations
12.
Ryan, Stewart D., James M. O’Riordan, Sean Tierney, Kevin C. Conlon, & Paul F. Ridgway. (2010). Impact of a new electronic handover system in surgery. International Journal of Surgery. 9(3). 217–220. 42 indexed citations
13.
Kelly, G., et al.. (2008). Severe deterioration of psoriasis due to an insulinoma. Clinical and Experimental Dermatology. 33(2). 145–147. 2 indexed citations
14.
D’Angelica, Michael I., Murray F. Brennan, Arief A. Suriawinata, David S. Klimstra, & Kevin C. Conlon. (2004). Intraductal Papillary Mucinous Neoplasms of the Pancreas. Annals of Surgery. 239(3). 400–408. 265 indexed citations
15.
Hiotis, Spiros, David S. Klimstra, Kevin C. Conlon, & Murray F. Brennan. (2002). Results after pancreatic resection for metastatic lesions. Annals of Surgical Oncology. 9(7). 675–679. 157 indexed citations
16.
Conlon, Kevin C., Daniel M. Labow, Denis H. Y. Leung, et al.. (2001). Prospective Randomized Clinical Trial of the Value of Intraperitoneal Drainage After Pancreatic Resection. Annals of Surgery. 234(4). 487–494. 387 indexed citations
17.
Adsay, Volkan, Kevin C. Conlon, Sui Zee, Murray F. Brennan, & David S. Klimstra. (2001). Intraductal papillary‐mucinous neoplasms of the pancreas. Cancer. 94(1). 62–77. 464 indexed citations
18.
Saenz, Nicholas C., Kevin C. Conlon, Daniël C. Aronson, & Michael P. LaQuaglia. (1997). The Application of Minimal Access Procedures in Infants, Children, and Young Adults with Pediatrie Malignancies. Journal of Laparoendoscopic & Advanced Surgical Techniques. 7(5). 289–294. 49 indexed citations
19.
Conlon, Kevin C. & Patrick J. Boland. (1997). Laparoscopically assisted radical sacrococcygectomy. Surgical Endoscopy. 11(11). 1118–1122. 14 indexed citations
20.
Schwarz, Roderich E., et al.. (1996). Inferior vena cava filters in cancer patients: indications and outcome.. Journal of Clinical Oncology. 14(2). 652–657. 68 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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