Jason T. Connor

101 total papers · 5.6k total citations
69 papers, 3.6k citations indexed

About

Jason T. Connor is a scholar working on Surgery, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Jason T. Connor has authored 69 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 16 papers in Statistics and Probability and 12 papers in Economics and Econometrics. Recurrent topics in Jason T. Connor's work include Statistical Methods in Clinical Trials (16 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers) and Meta-analysis and systematic reviews (9 papers). Jason T. Connor is often cited by papers focused on Statistical Methods in Clinical Trials (16 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers) and Meta-analysis and systematic reviews (9 papers). Jason T. Connor collaborates with scholars based in United States, United Kingdom and Russia. Jason T. Connor's co-authors include Victor W. Fazio, Scott Berry, Lorraine C. Mion, Roger Lewis, Charles L. Emerman, Robert M. Palmer, Bret A. Lashner, Anthony J. Senagore, Barbara L. Drew and Linda J. Lewicki and has published in prestigious journals such as New England Journal of Medicine, JAMA and Nature Medicine.

In The Last Decade

Jason T. Connor

67 papers receiving 3.5k citations

Hit Papers

Randomized Trial of Three... 2019 2026 2021 2023 2019 2024 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jason T. Connor 1.3k 812 495 476 451 69 3.6k
Ioannis G. Vlachonikolis 768 0.6× 780 1.0× 673 1.4× 615 1.3× 281 0.6× 86 3.7k
Yana Vinogradova 791 0.6× 603 0.7× 363 0.7× 312 0.7× 122 0.3× 67 4.0k
R. P. Knill‐Jones 1.0k 0.8× 962 1.2× 206 0.4× 335 0.7× 559 1.2× 82 4.1k
V. Fidler 876 0.7× 1.1k 1.3× 480 1.0× 1.5k 3.2× 168 0.4× 111 6.7k
Claire M. Spettell 693 0.5× 736 0.9× 129 0.3× 221 0.5× 348 0.8× 77 4.2k
Sandra C. Bryant 785 0.6× 723 0.9× 318 0.6× 710 1.5× 98 0.2× 101 5.5k
Noel S. Weiss 716 0.5× 742 0.9× 673 1.4× 323 0.7× 141 0.3× 83 4.6k
Alison M. MacLeod 719 0.6× 404 0.5× 251 0.5× 719 1.5× 155 0.3× 117 5.6k
Eileen King 1.2k 0.9× 710 0.9× 162 0.3× 307 0.6× 210 0.5× 81 2.9k
Yea‐Huei Kao Yang 737 0.6× 1.0k 1.2× 104 0.2× 551 1.2× 150 0.3× 107 4.7k

Countries citing papers authored by Jason T. Connor

Since Specialization
Citations

This map shows the geographic impact of Jason T. Connor'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 Jason T. Connor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason T. Connor more than expected).

Fields of papers citing papers by Jason T. Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason T. Connor. 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 Jason T. Connor. The network helps show where Jason T. Connor may publish in the future.

Co-authorship network of co-authors of Jason T. Connor

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

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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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