Raymond Kelly

884 total citations · 1 hit paper
8 papers, 639 citations indexed

About

Raymond Kelly is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Raymond Kelly has authored 8 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Surgery. Recurrent topics in Raymond Kelly's work include Colorectal Cancer Screening and Detection (2 papers), Inflammatory Bowel Disease (2 papers) and Mycobacterium research and diagnosis (2 papers). Raymond Kelly is often cited by papers focused on Colorectal Cancer Screening and Detection (2 papers), Inflammatory Bowel Disease (2 papers) and Mycobacterium research and diagnosis (2 papers). Raymond Kelly collaborates with scholars based in Ireland, Canada and United States. Raymond Kelly's co-authors include Nadeem Iqbal, Florent Chandelier, Nicolas Chapados, Michael F. Byrne, Florian Soudan, Douglas K. Rex, Fergus Shanahan, Joe O’Connell, Paul M. Ryan and Gerald C. O’Sullivan and has published in prestigious journals such as Gastroenterology, Gut and Annals of the New York Academy of Sciences.

In The Last Decade

Raymond Kelly

8 papers receiving 623 citations

Hit Papers

Real-time differentiation of adenomatous and hyperplastic... 2017 2026 2020 2023 2017 100 200 300 400
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. Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model
    2017 423 citations Michael F. Byrne, Nicolas Chapados et al. Gut profile →

Peers

Raymond Kelly
William E. Karnes United States
Lun Gu China
Ramin Schirin-Sokhan Germany
Gen Iinuma Japan
Roser Vega United Kingdom
Zelong Han China
AM Hanby United Kingdom
Kay Sauder United States
Katharina Glatz‐Krieger Switzerland
Idan Levy Israel
William E. Karnes United States
Raymond Kelly
Citations per year, relative to Raymond Kelly Raymond Kelly (= 1×) peers William E. Karnes

Countries citing papers authored by Raymond Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Raymond Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raymond Kelly

This figure shows the co-authorship network connecting the top 25 collaborators of Raymond Kelly. A scholar is included among the top collaborators of Raymond Kelly 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 Raymond Kelly. Raymond Kelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Byrne, Michael F., Nicolas Chapados, Florian Soudan, et al.. (2017). Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model. Gut. 68(1). 94–100. 423 indexed citations breakdown →
2.
Byrne, Michael F., Nicolas Chapados, Florian Soudan, et al.. (2017). Su1614 Artificial Intelligence (AI) in Endoscopy--Deep Learning for Optical Biopsy of Colorectal Polyps in Real-Time on Unaltered Endoscopic Videos. Gastrointestinal Endoscopy. 85(5). AB364–AB365. 9 indexed citations
3.
O'Brien, Deborah A., Kenneth Nally, Raymond Kelly, et al.. (2005). Targeting the Fas/Fas ligand pathway in cancer. Expert Opinion on Therapeutic Targets. 9(5). 1031–1044. 54 indexed citations
4.
Ryan, Paul M., Raymond Kelly, John Collins, et al.. (2004). Bacterial DNA within Granulomas of Patients with Crohn's Disease-Detection by Laser Capture Microdissection and PCR. The American Journal of Gastroenterology. 99(8). 1539–1543. 133 indexed citations
5.
O’Connell, Joe, Aileen Houston, Raymond Kelly, et al.. (2003). Rapid Development of a Quantitative-Competitive (qc) RT-PCR Assay Using a Composite Primer Approach. Humana Press eBooks. 193. 93–102. 2 indexed citations
6.
Ryan, Paul M., Raymond Kelly, Gary Lee, et al.. (2003). Bacterial DNA within granulomas of patients with Crohn's disease-detection by laser capture microdissection and PCR. Gastroenterology. 124(4). A500–A500. 6 indexed citations
7.
Kelly, Raymond, Kenneth Nally, Fergus Shanahan, & Joe O’Connell. (2002). Type I Insulin‐like Growth Factor Receptor Expression on Colorectal Adenocarcinoma Cell Lines Is Decreased in Response to the Chemopreventive Agent N‐Acetyl‐l‐Cysteine. Annals of the New York Academy of Sciences. 973(1). 555–558. 7 indexed citations
8.
Gratten, M, Graeme R. Nimmo, J. B. Carlisle, et al.. (1997). Emergence of further serotypes of multiple drug-resistant Streptococcus pneumoniae in Queensland. Communicable Diseases Intelligence. 21(10). 133–136. 5 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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