D. V. E. Cumming

20 papers receiving 481 citations

Peers

D. V. E. Cumming
Comparison fields: 5 of 78
  • Applied Microbiology and Biotechnology 14
  • Aging 11
  • Cardiology and Cardiovascular Medicine 88
  • Molecular Biology 294
  • Pathology and Forensic Medicine 65
Replace J. Bercovici with:
J. Bercovici France
James G. Hecker United States
Gouri Nair India
Eman Rashed United States
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C. Spamer Germany
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Citations per field
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Citations per year

Countries citing papers authored by D. V. E. Cumming

Since Specialization
Citations

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

Fields of papers citing papers by D. V. E. Cumming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. V. E. Cumming. 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 D. V. E. Cumming. The network helps show where D. V. E. Cumming may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199689
2 199676
3 199661
4 199642
5 199539
6
Gene delivery to the heart in vivo and to cardiac myocytes and vascular smooth muscle cells in vitro using herpes virus vectors.
199634
7 199125
8 199122
9
Troponin I and T protein expression in experimental cardiac hypertrophy.
199518
10 199617
11 200716
12 201511
13 20169
14 19926
15 19896
16 19915
17 19904
18 20083
19 19913
20 20151

About D. V. E. Cumming

D. V. E. Cumming is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pathology and Forensic Medicine, Epidemiology and Aging, having authored 21 papers that have together received 487 indexed citations. Recurring topics across this work include Heat shock proteins research (6 papers), Cardiomyopathy and Myosin Studies (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Pain Management and Treatment (2 papers), Cardiovascular Effects of Exercise (2 papers), Adipose Tissue and Metabolism (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (14 citations), Aging (11 citations), Cardiology and Cardiovascular Medicine (88 citations), Molecular Biology (294 citations) and Pathology and Forensic Medicine (65 citations). D. V. E. Cumming has collaborated with scholars based in United Kingdom, United States and Bulgaria. Frequent co-authors include D.S. Latchman, Derek M. Yellon, Vaksha Amin, Richard J. Heads, S. Morris, Andrea Watson, Robert S. Coffin, David S. Latchman, Magdi H. Yacoub and Nigel J. Brand. Their work appears in journals such as Basic Research in Cardiology, Journal of Antimicrobial Chemotherapy, Cardiovascular Research, Electrophoresis and Journal of Thoracic and Cardiovascular Surgery.

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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