John R. Turtle

6.3k citations
163 papers · 5.4k · h-index 41

Impact in

Papers in

John R. Turtle

158 papers receiving 4.9k citations

Peers

John R. Turtle
Comparison fields: 5 of 143
  • Endocrinology, Diabetes and Metabolism 2.3k
  • Clinical Biochemistry 363
  • Reproductive Medicine 329
  • Physiology 773
  • Rehabilitation 175
Replace S. Raptis with:
S. Raptis Greece
Daniel Rudman United States
Hans Ørskov Denmark
Massimo Federici Italy
Morris Schambelan United States
Mark Walker United Kingdom
Mark A. Sperling United States
György Csákó United States
Michelangela Barbieri Italy
Dennis K. Yue Australia
John R. Turtle relative to S. Raptis Greece S. Raptis's profile →
Citations per field
00.5×3.1×
S. Raptis · 1×
Citations per year

Countries citing papers authored by John R. Turtle

Since Specialization
Citations

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

Fields of papers citing papers by John R. Turtle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Turtle. 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 John R. Turtle. The network helps show where John R. Turtle may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967259
2 1980212
3 1991195
4 1988145
5 1984143
6 1982141
7 1967135
8 1984129
9 1984126
10 1984125
11 1987102
12 197888
13 199485
14 198183
15 198380
16 198079
17 198879
18 198178
19 198478
20 198178

About John R. Turtle

John R. Turtle is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Genetics and Physiology, having authored 163 papers that have together received 5.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (34 papers), Diabetes and associated disorders (16 papers), Diabetes Management and Research (12 papers), Metabolism, Diabetes, and Cancer (8 papers), Advanced Glycation End Products research (8 papers), Diabetes Treatment and Management (8 papers), Diabetes Management and Education (8 papers) and Aldose Reductase and Taurine (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Clinical Biochemistry (363 citations), Reproductive Medicine (329 citations), Physiology (773 citations) and Rehabilitation (175 citations). John R. Turtle has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Dennis K. Yue, David J. Handelsman, Robert C. Baxter, Susan V. McLennan, David Kipnis, Janet M. Bryson, DK Yue, Lyn M. Boylan, Ann J. Conway and Stewart M. Dunn. Their work appears in journals such as Diabetes, Diabetic Medicine, The Medical Journal of Australia, Diabetes Research and Clinical Practice and Endocrinology.

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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