Mitchel Tate

1.4k citations
29 papers · 1.2k · h-index 18

Impact in

Papers in

Mitchel Tate

29 papers receiving 1.1k citations

Peers

Mitchel Tate
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 279
  • Cardiology and Cardiovascular Medicine 308
  • Clinical Biochemistry 69
  • Geriatrics and Gerontology 22
  • Molecular Biology 468
Replace María Galán with:
María Galán Spain
Sachiko Hattori Japan
Saula de Kreutzenberg Italy
Belén Picatoste Spain
Carola Doerries Germany
Shasha Xing China
Michael Basso United States
Xiaochen Yu China
Lucia Scisciola Italy
Xia Shen China
Mitchel Tate relative to María Galán Spain María Galán's profile →
Citations per field
00.5×1.5×1.8×
María Galán · 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-authors

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

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018175
2 2018140
3 201589
4 201782
5 201779
6 202172
7 201562
8 201761
9 200055
10 201740
11 202037
12 201937
13 201735
14 201631
15 201428
16 201928
17 202119
18 202219
19 202117
20 201915

About Mitchel Tate

Mitchel Tate is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery and Immunology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (10 papers), Diabetes Treatment and Management (8 papers), Metabolism, Diabetes, and Cancer (5 papers), Cardiomyopathy and Myosin Studies (4 papers), Pancreatic function and diabetes (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (279 citations), Cardiology and Cardiovascular Medicine (308 citations), Clinical Biochemistry (69 citations), Geriatrics and Gerontology (22 citations) and Molecular Biology (468 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 Miles J. De Blasio. Their work appears in journals such as Frontiers in Physiology, European Heart Journal, Basic Research in Cardiology, Clinical Science and Cardiovascular Diabetology.

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.

Explore authors with similar magnitude of impact