Anna Stears

648 citations
23 papers · 385 · h-index 13

Impact in

Papers in

Anna Stears

22 papers receiving 368 citations

Peers

Anna Stears
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 90
  • Physiology 70
  • Cardiology and Cardiovascular Medicine 45
  • Genetics 54
  • Molecular Biology 134
Replace Mariano J. Taverna with:
Mariano J. Taverna Argentina
Chi Sheng Hung Taiwan
N. Cester Italy
Weigang Zhao China
H C Lee South Korea
S. M. A. Bennett United Kingdom
Elif Yorulmaz Türkiye
Hye-Sook Min South Korea
Hernán García Chile
Jorge Nahas-Neto Brazil
Anna Stears relative to Mariano J. Taverna Argentina Mariano J. Taverna's profile →
Citations per field
00.5×1.7×
Mariano J. Taverna · 1×
Citations per year

Countries citing papers authored by Anna Stears

Since Specialization
Citations

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

Fields of papers citing papers by Anna Stears

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201248
2 200847
3 200331
4 200126
5 201725
6 201625
7 201225
8 201824
9 201224
10 202122
11 201917
12 201716
13 200616
14 200611
15 20149
16 20227
17 20234
18 20212
19 20182
20 20192

About Anna Stears

Anna Stears is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 23 papers that have together received 385 indexed citations. Recurring topics across this work include Nuclear Structure and Function (12 papers), Metabolism, Diabetes, and Cancer (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Diabetes and associated disorders (2 papers), Adipose Tissue and Metabolism (2 papers), Diabetes Management and Research (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper) and Hormonal Regulation and Hypertension (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (90 citations), Physiology (70 citations), Cardiology and Cardiovascular Medicine (45 citations), Genetics (54 citations) and Molecular Biology (134 citations). Anna Stears has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include David B. Savage, Christopher D. Byrne, Robert K. Semple, Stephen O’Rahilly, Jeremy Tomlinson, Paul M. Stewart, Claire Adams, Stephen A. Wootton, Derek D. Sandeman and Graham C. Burdge. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Diabetic Medicine, Metabolism and Journal of Clinical Nursing.

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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