Mitchel Tate

1.4k citations
29 papers · 1.1k indexed · h-index 17

Impact in

Papers in

Mitchel Tate

28 papers receiving 1.1k citations

Peers

Mitchel Tate
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 319
  • Cardiology and Cardiovascular Medicine 350
  • Clinical Biochemistry 79
  • Molecular Biology 512
  • Nephrology 39
Replace Valentina Alfieri with:
Valentina Alfieri Italy
Takeyoshi Murano Japan
Shasha Xing China
Xiaochen Yu China
Shuiqing Yu United States
Sungmi Park South Korea
Vasiliki Tsigkou Greece
Émilie C. Viel Canada
Gemma Pujadas Spain
Anne‐Laure Guihot France
Mitchel Tate relative to Valentina Alfieri Italy Valentina Alfieri's profile →
Citations per field
00.5×9.8×
Valentina Alfieri · 1×
Citations per year

Countries citing papers authored by Mitchel Tate

Since Specialization
Citations

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

Fields of papers citing papers by Mitchel Tate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 202219
3 202166
4 202116
5 202112
6 201925
7 201931
8 201915
9 2018170
10 2018139
11 20185
12 201778
13 20170
14 201732
15 201761
16 201738
17 201630
18 201587
19 201561
20 20002

About Mitchel Tate

Mitchel Tate is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Nephrology and Immunology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (10 papers), Diabetes Treatment and Management (9 papers), Metabolism, Diabetes, and Cancer (5 papers), Cardiac Fibrosis and Remodeling (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Pancreatic function and diabetes (4 papers), Pharmacology and Obesity Treatment (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (319 citations), Cardiology and Cardiovascular Medicine (350 citations), Clinical Biochemistry (79 citations), Molecular Biology (512 citations) and Nephrology (39 citations). Mitchel Tate has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Rebecca H. Ritchie, Arpeeta Sharma, Judy B. de Haan, David Grieve, Emma Robinson, Brian D. Green, James E. Vince, Geetha Mathew, Barbara J. McDermott and Carlos J. Rosado. Their work appears in journals such as European Heart Journal, Frontiers in Physiology, Clinical Science, Basic Research in Cardiology and Frontiers in Pharmacology.

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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