T E Isles

833 citations
39 papers · 706 · h-index 15

Impact in

Papers in

T E Isles

36 papers receiving 581 citations

Peers

T E Isles
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 301
  • Obstetrics and Gynecology 92
  • Endocrine and Autonomic Systems 38
  • Pediatrics, Perinatology and Child Health 45
  • Reproductive Medicine 36
Replace P. M. S. Clark with:
P. M. S. Clark United Kingdom
Anissa Djemli Canada
Charles R. Shuman United States
Claus Kühl Denmark
E Cerasi Sweden
RE Pratley United States
S. M. Echwald Denmark
Christian Meyer United States
Hans Lundgren Sweden
Nikki C. Bush United States
T E Isles relative to P. M. S. Clark United Kingdom P. M. S. Clark's profile →
Citations per field
00.5×2×4×5.4×
P. M. S. Clark · 1×
Citations per year

Countries citing papers authored by T E Isles

Since Specialization
Citations

This map shows the geographic impact of T E Isles'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 T E Isles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T E Isles more than expected).

Fields of papers citing papers by T E Isles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T E Isles. 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 T E Isles. The network helps show where T E Isles may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197987
2 198675
3 196873
4 197743
5 198743
6 198635
7 197933
8 196831
9 197923
10 196721
11
Hypoglycemia in newborn infants of normal and diabetic mothers.
196821
12 197319
13 197719
14 198717
15 198216
16 198414
17 198514
18 198012
19 198412
20 198210

About T E Isles

T E Isles is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Obstetrics and Gynecology, Reproductive Medicine and Nutrition and Dietetics, having authored 39 papers that have together received 706 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (17 papers), Pancreatic function and diabetes (5 papers), Thyroid and Parathyroid Surgery (5 papers), Diabetes Management and Research (5 papers), Gestational Diabetes Research and Management (3 papers), Hypothalamic control of reproductive hormones (2 papers), Diabetes Treatment and Management (2 papers) and Clinical Laboratory Practices and Quality Control (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (301 citations), Obstetrics and Gynecology (92 citations), Endocrine and Autonomic Systems (38 citations), Pediatrics, Perinatology and Child Health (45 citations) and Reproductive Medicine (36 citations). T E Isles has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include John Feely, J. W. Farquhar, J. Crooks, Peter J. Illingworth, Roland T. Jung, Terence J. Wilkin, Peter Howie, Peter J. Leslie, J. Swanson Beck and J. David Baty. Their work appears in journals such as The Lancet, British Journal of Clinical Pharmacology, Archives of Disease in Childhood, British Journal of Cancer and Clinical 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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