Jason Black

475 citations
34 papers · 312 · h-index 9

Impact in

Papers in

Jason Black

28 papers receiving 306 citations

Peers

Jason Black
Comparison fields: 5 of 103
  • Endocrinology, Diabetes and Metabolism 105
  • Health Informatics 8
  • Health Information Management 19
  • Medical Laboratory Technology 5
  • Applied Microbiology and Biotechnology 4
Replace Teppei Suzuki with:
Teppei Suzuki Japan
Patrick Caubel United States
Colleen M. Vrbin United States
Mireya Martínez-García Mexico
Katherine Wilemon United States
Fang Liz Zhou United States
Kanika Dharmayat United Kingdom
D.I. Rosenthal United States
Dania Alkhafaji Saudi Arabia
So Jung Yang South Korea
Jason Black relative to Teppei Suzuki Japan Teppei Suzuki's profile →
Citations per field
00.5×3.5×
Teppei Suzuki · 1×
Citations per year

Countries citing papers authored by Jason Black

Since Specialization
Citations

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

Fields of papers citing papers by Jason Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jason Black, 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 Black Line = papers co-authored together Jason Black links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201869
2 201542
3 202237
4 200929
5
Effect of experimental hyperhomocysteinemia on cardiac structure and function in the rat.
200418
6 202315
7 201115
8 202113
9 201510
10 20238
11 20208
12 20217
13 20226
14 20205
15 20205
16 20233
17 20233
18 20183
19 20183
20 20242

About Jason Black

Jason Black is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Health Information Management, General Health Professions and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 312 indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Diabetes and associated disorders (6 papers), Diabetes Treatment and Management (6 papers), Diabetes Management and Education (5 papers), Medical Coding and Health Information (3 papers), Clinical practice guidelines implementation (2 papers), COVID-19 Clinical Research Studies (2 papers) and Culinary Culture and Tourism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (105 citations), Health Informatics (8 citations), Health Information Management (19 citations), Medical Laboratory Technology (5 citations) and Applied Microbiology and Biotechnology (4 citations). Jason Black has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Stewart B. Harris, Alexandria Ratzki‐Leewing, Bridget Ryan, Jacqueline K. Kueper, Tyler Williamson, Judith Belle Brown, Sonja M. Reichert, Charlene Elliott, Daniel J. Lizotte and Emily Truman. Their work appears in journals such as International Journal for Population Data Science, Diabetes, Diabetes Obesity and Metabolism, Appetite and Canadian Journal of Diabetes.

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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