M. E. Cooper

3.8k citations
52 papers · 3.0k · h-index 30

Impact in

Papers in

M. E. Cooper

51 papers receiving 2.9k citations

Peers

M. E. Cooper
Comparison fields: 5 of 118
  • Clinical Biochemistry 827
  • Nephrology 583
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Cardiology and Cardiovascular Medicine 743
  • Neurology 165
Replace Christos Tikellis with:
Christos Tikellis Australia
Riccardo Candido Italy
Sianna Panagiotopoulos Australia
Tomohito Gohda Japan
Gabriella Gruden Italy
Kei Fukami Japan
Kazunori Utsunomiya Japan
Yoon Sik Chang South Korea
Seiji Ueda Japan
Lena M. Thorn Finland
M. E. Cooper relative to Christos Tikellis Australia Christos Tikellis's profile →
Citations per field
00.5×3.1×
Christos Tikellis · 1×
Citations per year

Countries citing papers authored by M. E. Cooper

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. E. Cooper. 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 M. E. Cooper. The network helps show where M. E. Cooper may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991344
2 2007331
3 2011265
4 1997176
5 2005176
6 1997160
7 2009160
8 2009152
9 200675
10 200665
11 200965
12 201163
13 201060
14 200355
15 199855
16 200548
17 199644
18 200443
19 199442
20 199941

About M. E. Cooper

M. E. Cooper is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Clinical Biochemistry, Molecular Biology and Nephrology, having authored 52 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (12 papers), Blood Pressure and Hypertension Studies (9 papers), Chronic Kidney Disease and Diabetes (9 papers), Diabetes Treatment and Management (8 papers), Renin-Angiotensin System Studies (7 papers), Hormonal Regulation and Hypertension (7 papers), Apelin-related biomedical research (4 papers) and Neurological Disorders and Treatments (4 papers). The work is most often cited by research in Clinical Biochemistry (827 citations), Nephrology (583 citations), Endocrinology, Diabetes and Metabolism (1.2k citations), Cardiology and Cardiovascular Medicine (743 citations) and Neurology (165 citations). M. E. Cooper has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include George Jerums, Merlin C. Thomas, Wendy C. Burns, Terri J. Allen, Tina Soulis, Richard E. Gilbert, Sherif Youssef, John Chalmers, Anushka Patel and Mark Woodward. Their work appears in journals such as Diabetologia, Diabetes, Diabetic Medicine, European Heart Journal and Journal of Hypertension.

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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