Anna Stears

22 papers receiving 348 citations

Peers

Anna Stears
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 108
  • Physiology 81
  • Genetics 76
  • Cardiology and Cardiovascular Medicine 51
  • Molecular Biology 141
Replace Mariano J. Taverna with:
Mariano J. Taverna Argentina
Łukasz Szczerbiński Poland
Alessandra Bertolotto Italy
N. Cester Italy
Mark S. Borja United States
Elif Yorulmaz Türkiye
Jeanne Ishimwe United States
Brenda Dorcely United States
Yukari Fujita Japan
Luděk Čížek Czechia
Anna Stears relative to Mariano J. Taverna Argentina Mariano J. Taverna's profile →
Citations per field
00.5×1.6×
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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200845
2 201240
3 200331
4 200126
5 201724
6 201824
7 201223
8 201223
9 201622
10 202120
11 200616
12 201916
13 201714
14 200611
15 20148
16 20226
17 20234
18 20182
19 20212
20 20192

About Anna Stears

Anna Stears is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Physiology and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 361 indexed citations. Recurring topics across this work include Nuclear Structure and Function (11 papers), Diabetes and associated disorders (6 papers), Metabolism, Diabetes, and Cancer (3 papers), Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Pancreatic function and diabetes (2 papers), Diabetes Management and Research (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (108 citations), Physiology (81 citations), Genetics (76 citations), Cardiology and Cardiovascular Medicine (51 citations) and Molecular Biology (141 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, Paul M. Stewart, Jeremy Tomlinson, Stephen A. Wootton, Derek D. Sandeman, Claire Adams and Graham C. Burdge. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetic Medicine, Clinical Endocrinology, Scientific Reports and Current Opinion in Lipidology.

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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