Janine Kesting

12 papers receiving 322 citations

Peers

Janine Kesting
Comparison fields: 5 of 53
  • Oncology 140
  • Orthopedics and Sports Medicine 37
  • Rheumatology 63
  • Genetics 92
  • Health 23
Replace Joanne T.E. Shaw with:
Joanne T.E. Shaw Australia
Taisuke Akutsu Japan
Corrado Altomare United States
А. Г. Солопова Russia
Wanda Horst−Sikorska Poland
Maurizio Nicola D’Alterio Italy
Lila A. Wallis United States
Katherine D. Henderson United States
Sue Ellis United Kingdom
Özlem Turhan İyidir Türkiye
Janine Kesting relative to Joanne T.E. Shaw Australia Joanne T.E. Shaw's profile →
Citations per field
00.5×1.5×
Joanne T.E. Shaw · 1×
Citations per year

Countries citing papers authored by Janine Kesting

Since Specialization
Citations

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

Fields of papers citing papers by Janine Kesting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200268
2 200265
3 199861
4 200448
5 200130
6 200629
7 199914
8 200511
9 20076
10 20016
11 20081
12
Carotid artery intimal medial thickness, brachial artery flow mediated vasodilation and cardiovascular disease risk factors in diabetic and non-diabetic indigenous Australians
20041
13 20070

About Janine Kesting

Janine Kesting is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine and Oncology, having authored 13 papers that have together received 340 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Bone health and treatments (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Cancer-related Molecular Pathways (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Ubiquitin and proteasome pathways (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Oncology (140 citations), Orthopedics and Sports Medicine (37 citations), Rheumatology (63 citations), Genetics (92 citations) and Health (23 citations). Janine Kesting has collaborated with scholars based in Australia and United Kingdom. Frequent co-authors include Joanne T.E. Shaw, David L. Duffy, David A. Good, Frances Busfield, Paul K. Lovelock, John Roger Andersen, John Cardinal, Brandon J. Wainwright, Donnie Cameron and Heather Tate. Their work appears in journals such as The American Journal of Human Genetics, Diabetes, The Medical Journal of Australia, Atherosclerosis and Journal of Bone and Mineral Research.

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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