Jason Gordon

69 papers receiving 741 citations

Peers

Jason Gordon
Comparison fields: 5 of 81
  • Health Informatics 27
  • Family Practice 24
  • Applied Microbiology and Biotechnology 25
  • Endocrinology, Diabetes and Metabolism 160
  • Cardiology and Cardiovascular Medicine 145
Replace Tingjie Guo with:
Tingjie Guo Netherlands
Satoshi Kodera Japan
Christopher Hebert United States
Jingxian Shu China
Uri Kartoun United States
Rachael Boggon United Kingdom
Ahmet İlker Tekkeşin Türkiye
Mario Ouwens United Kingdom
А. С. Колбин Russia
Fima Macheret United States
Jason Gordon relative to Tingjie Guo Netherlands Tingjie Guo's profile →
Citations per field
00.5×10×15×17.8×
Tingjie Guo · 1×
Citations per year

Countries citing papers authored by Jason Gordon

Since Specialization
Citations

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

Fields of papers citing papers by Jason Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jason Gordon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jason Gordon Line = papers co-authored together Jason Gordon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201991
2 201547
3 201840
4 202039
5 201030
6 201929
7 200726
8 202024
9 201023
10 201722
11 200921
12 202221
13 200921
14 201119
15 201617
16 201517
17 202016
18 201616
19 202215
20 196514

About Jason Gordon

Jason Gordon is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Hepatology, Applied Microbiology and Biotechnology and Economics and Econometrics, having authored 73 papers that have together received 758 indexed citations. Recurring topics across this work include Hepatitis C virus research (8 papers), Antibiotic Use and Resistance (8 papers), Atrial Fibrillation Management and Outcomes (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Diabetes Management and Research (4 papers), Diabetes Treatment and Management (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Health Informatics (27 citations), Family Practice (24 citations), Applied Microbiology and Biotechnology (25 citations), Endocrinology, Diabetes and Metabolism (160 citations) and Cardiology and Cardiovascular Medicine (145 citations). Jason Gordon has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Phil McEwan, Jorge Puelles, Daniel Sugrue, Iskandar Idris, Usman Farooqui, Nathan R. Hill, Marc Evans, Steven Lister, Hayley Bennett and Yong Yuan. Their work appears in journals such as Value in Health, Diabetes Therapy, Journal of Medical Economics, PharmacoEconomics and Infectious Diseases and Therapy.

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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