Anna Heath

49 papers receiving 1.9k citations

Peers

Anna Heath
Comparison fields: 5 of 115
  • Endocrinology, Diabetes and Metabolism 601
  • Cancer Research 192
  • Cardiology and Cardiovascular Medicine 274
  • Cell Biology 185
  • Pharmacology 93
Replace Minh N. Nguyen with:
Minh N. Nguyen Australia
Michael Bryer‐Ash United States
Jonathan Schofield United Kingdom
Joseph L. Messina United States
Madan M. Godbole India
Sunil Nagpal United States
Marek H Dominiczak United Kingdom
Xiaopeng Li China
Francesc González‐Sastre Spain
Conor Woods Ireland
Anna Heath relative to Minh N. Nguyen Australia Minh N. Nguyen's profile →
Citations per field
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Minh N. Nguyen · 1×
Citations per year

Countries citing papers authored by Anna Heath

Since Specialization
Citations

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

Fields of papers citing papers by Anna Heath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013231
2 2010223
3 2018139
4 2010121
5 2010113
6 200975
7 201072
8 201072
9 201158
10 201156
11 201353
12 201349
13 201748
14 202144
15 200944
16 202242
17 201141
18 200840
19 201337
20 200834

About Anna Heath

Anna Heath is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Surgery and Cell Biology, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (18 papers), Estrogen and related hormone effects (8 papers), Muscle metabolism and nutrition (7 papers), Doping in Sports (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Pharmacological Effects and Assays (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Cardiomyopathy and Myosin Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (601 citations), Cancer Research (192 citations), Cardiology and Cardiovascular Medicine (274 citations), Cell Biology (185 citations) and Pharmacology (93 citations). Anna Heath has collaborated with scholars based in Australia, New Zealand and China. Frequent co-authors include Kristine McGrath, Philip J. Barter, Stacy T. Sims, David J. Handelsman, Kerry‐Anne Rye, Lucinda S. McRobb, Christina A. Bursill, Joanne T. M. Tan, Bernard E. Tuch and Fatiha Tabet. Their work appears in journals such as Drug Testing and Analysis, Atherosclerosis, Arteriosclerosis Thrombosis and Vascular Biology, Evidence-based Complementary and Alternative Medicine and The Journal of Steroid Biochemistry and Molecular Biology.

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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