J D Teale

2.1k citations
50 papers · 1.5k · h-index 26

Impact in

Papers in

J D Teale

50 papers receiving 1.4k citations

Peers

J D Teale
Comparison fields: 5 of 101
  • Endocrinology, Diabetes and Metabolism 603
  • Toxicology 49
  • Rheumatology 189
  • Neurology 160
  • Cancer Research 142
Replace Yoshio Nomura with:
Yoshio Nomura Japan
Guang‐Huan Sun Taiwan
Kristine D. Harper United States
R Carpenter United Kingdom
Toru Takano Japan
Narihito Seki Japan
Michael W. Müller Germany
Fang Fan United States
Kayo Tanaka Japan
Henry Johansson Sweden
J D Teale relative to Yoshio Nomura Japan Yoshio Nomura's profile →
Citations per field
00.5×8.6×
Yoshio Nomura · 1×
Citations per year

Countries citing papers authored by J D Teale

Since Specialization
Citations

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

Fields of papers citing papers by J D Teale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990104
2 199982
3 199878
4 200477
5 199169
6 199460
7 198855
8 198654
9 199751
10 199151
11 199650
12 199949
13 199247
14 199941
15 197541
16 199237
17 197735
18 197735
19 199634
20 197434

About J D Teale

J D Teale is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology, Physiology and Cancer Research, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (17 papers), Neuroendocrine Tumor Research Advances (8 papers), Diet and metabolism studies (8 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (7 papers), Metabolism, Diabetes, and Cancer (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), Radiopharmaceutical Chemistry and Applications (6 papers) and Diabetes Management and Research (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (603 citations), Toxicology (49 citations), Rheumatology (189 citations), Neurology (160 citations) and Cancer Research (142 citations). J D Teale has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include V. Marks, Gwen Wark, Laurence J. King, Rousseau Gama, John McKnight, Werner Blum, J. W. G. Yarnell, P M Sweetnam, C. Bolton and J.C. Reubi. Their work appears in journals such as Clinical Endocrinology, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Journal of the Royal Society of Medicine, British Journal of Cancer and Endocrinology and Metabolism Clinics of North America.

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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