E.R. Trimble

50 papers receiving 1.7k citations

Peers

E.R. Trimble
Comparison fields: 5 of 101
  • Endocrine and Autonomic Systems 256
  • Endocrinology, Diabetes and Metabolism 398
  • Nutrition and Dietetics 329
  • Clinical Biochemistry 123
  • Nephrology 119
Replace Tsukasa Hirashima with:
Tsukasa Hirashima Japan
Antonio Gambardella Italy
Karl E. Sussman United States
Béla Horváth United States
Russell L. Prewitt United States
Anita M. Hennige Germany
Felipe Inserra Argentina
Steven N. Levine United States
T Saruta Japan
Katsuyuki Ando Japan
E.R. Trimble relative to Tsukasa Hirashima Japan Tsukasa Hirashima's profile →
Citations per field
00.5×1.5×2.1×
Tsukasa Hirashima · 1×
Citations per year

Countries citing papers authored by E.R. Trimble

Since Specialization
Citations

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

Fields of papers citing papers by E.R. Trimble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E.R. Trimble, 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 E.R. Trimble Line = papers co-authored together E.R. Trimble 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 1981200
2 1994198
3 1980125
4 1990114
5 199283
6 197581
7 199874
8 199356
9 199451
10 199348
11 198045
12 200044
13 198437
14 198936
15 199836
16 199135
17 198133
18 200432
19 199232
20 198030

About E.R. Trimble

E.R. Trimble is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology and Nutrition and Dietetics, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Diabetes Treatment and Management (8 papers), Diabetes Management and Research (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Antioxidant Activity and Oxidative Stress (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Diet and metabolism studies (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (256 citations), Endocrinology, Diabetes and Metabolism (398 citations), Nutrition and Dietetics (329 citations), Clinical Biochemistry (123 citations) and Nephrology (119 citations). E.R. Trimble has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include H. R. Berthoud, Ian Young, E. G. Siegel, B. Jeanrenaud, David A. Bereiter, Janet H. Lightbody, Dorothy McMaster, Christopher M. Loughrey, Paul McNamee and Albert E. Renold. Their work appears in journals such as Diabetologia, American Journal of Physiology-Endocrinology and Metabolism, The Lancet, Gynecologic Oncology and Diabetes.

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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