J. Flack

690 citations
13 papers · 528 · h-index 10

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Gout, Hyperuricemia, Uric Acid
    • Diabetes, Cardiovascular Risks, and Lipoproteins
    • Diabetes Treatment and Management
    • Diabetes Management and Research
    • Diabetes Management and Education

Papers in

J. Flack

13 papers receiving 496 citations

Peers

J. Flack
Comparison fields: 5 of 73
  • Nephrology 110
  • Endocrinology, Diabetes and Metabolism 162
  • Health Information Management 16
  • Infectious Diseases 55
  • Cardiology and Cardiovascular Medicine 52
Replace Molla Abebe with:
Molla Abebe Ethiopia
Letícia Schwerz Weinert Brazil
Kumar Gaurav India
K. Satyavani India
Anjali Mohapatra India
Sayan Cheepudomwit Thailand
Sintayehu Ambachew Ethiopia
S Majhi Nepal
R. Lyu United States
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Citations per field
00.5×3.1×
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Citations per year

Countries citing papers authored by J. Flack

Since Specialization
Citations

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

Fields of papers citing papers by J. Flack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2010156
2 2007100
3 201281
4 201844
5 201825
6 199225
7 199124
8 202023
9 200220
10 200717
11 20046
12 19935
13 20232

About J. Flack

J. Flack is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, General Health Professions, Infectious Diseases and Surgery, having authored 13 papers that have together received 528 indexed citations. Recurring topics across this work include Diabetes Management and Education (2 papers), Cardiovascular and exercise physiology (1 paper), Tuberculosis Research and Epidemiology (1 paper), Retinal Imaging and Analysis (1 paper), Retinal Diseases and Treatments (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Primary Care and Health Outcomes (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Nephrology (110 citations), Endocrinology, Diabetes and Metabolism (162 citations), Health Information Management (16 citations), Infectious Diseases (55 citations) and Cardiology and Cardiovascular Medicine (52 citations). J. Flack has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include Timothy M. E. Davis, Claudia C. Dobler, Guy B. Marks, Stephen M. Twigg, Maarten C Kamp, Jean-Claude Ansquer, Anthony Keech, Diana Zannino, Robert G. Fassett and R. Ting. Their work appears in journals such as Diabetic Medicine, The Medical Journal of Australia, BMJ Open, The Lancet Diabetes & Endocrinology and Journal of Hypertension.

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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