JS Yudkin

695 citations
26 papers · 491 · h-index 11

Impact in

Papers in

JS Yudkin

26 papers receiving 466 citations

Peers

JS Yudkin
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 174
  • Cardiology and Cardiovascular Medicine 109
  • Physiology 71
  • Epidemiology 87
  • Hematology 29
Replace İstemihan Tengiz with:
İstemihan Tengiz Türkiye
M. Tonoli Italy
James E. Lang United States
Jenie Yoonoo Hwang South Korea
Marcello Sciaraffia Italy
Rafał Nikodem Wlazeł Poland
Laura Zingaro Italy
D Felmeden United Kingdom
E M Hoare United Kingdom
Antoine Abchee Lebanon
JS Yudkin relative to İstemihan Tengiz Türkiye İstemihan Tengiz's profile →
Citations per field
00.5×1.5×2.0×
İstemihan Tengiz · 1×
Citations per year

Countries citing papers authored by JS Yudkin

Since Specialization
Citations

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

Fields of papers citing papers by JS Yudkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200073
2 199355
3 201753
4 198649
5 199342
6 199634
7
Prevention and management of cardiovascular disease in patients with diabetes mellitus: an evidence base.
199630
8 199828
9 198727
10 198818
11 199011
12
A within patient cross over trial of 4 insulin regimens in antibody-negative, C-peptide negative patients.
19879
13 19857
14 19907
15 19927
16 19876
17 19926
18 20006
19 19886
20 19945

About JS Yudkin

JS Yudkin is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Physiology, Surgery and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 491 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Diabetes Management and Research (4 papers), Blood Pressure and Hypertension Studies (4 papers), Diabetes and associated disorders (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Thermoregulation and physiological responses (2 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (174 citations), Cardiology and Cardiovascular Medicine (109 citations), Physiology (71 citations), Epidemiology (87 citations) and Hematology (29 citations). JS Yudkin has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Caroline Jackson, Rosaire Gray, David Patterson, Richard D Forrest, Vidya Mohamed‐Ali, D. J. Betteridge, Victor W.M. van Hinsbergh, Eliete Bouskela, Etto C. Eringa and Coen D.A. Stehouwer. Their work appears in journals such as Diabetic Medicine, Clinical Science, Thrombosis Research, Platelets and British Journal of Pharmacology.

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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