Christopher P. Nelson

34.1k citations
66 papers · 2.0k · h-index 26

Impact in

Papers in

Christopher P. Nelson

64 papers receiving 1.9k citations

Peers

Christopher P. Nelson
Comparison fields: 5 of 123
  • Aging 93
  • Endocrinology, Diabetes and Metabolism 317
  • Cardiology and Cardiovascular Medicine 371
  • Nephrology 109
  • Physiology 354
Replace Stephanie Ross with:
Stephanie Ross Canada
James R Staley United Kingdom
Claudia Lamina Austria
Petra Bůžková United States
Alanna C. Morrison United States
Greta Lee Splansky United States
Praveen Surendran United Kingdom
Young Ju Suh South Korea
Mihir Kamat United Kingdom
Krishna G. Aragam United States
Christopher P. Nelson relative to Stephanie Ross Canada Stephanie Ross's profile →
Citations per field
00.5×9.9×
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Citations per year

Countries citing papers authored by Christopher P. Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Christopher P. Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher P. Nelson. 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 Christopher P. Nelson. The network helps show where Christopher P. Nelson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007200
2 1989149
3 1987106
4 2013103
5 2017101
6 201092
7 201768
8 201064
9 200958
10 201357
11 201157
12 201854
13 201650
14 202250
15 200848
16 202146
17 202039
18 201234
19 201734
20 201933

About Christopher P. Nelson

Christopher P. Nelson is a scholar working on Molecular Biology, Physiology, Genetics, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 66 papers that have together received 2.0k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (16 papers), Genetic Associations and Epidemiology (13 papers), Nutritional Studies and Diet (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Epigenetics and DNA Methylation (5 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Aging (93 citations), Endocrinology, Diabetes and Metabolism (317 citations), Cardiology and Cardiovascular Medicine (371 citations), Nephrology (109 citations) and Physiology (354 citations). Christopher P. Nelson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Paul C. Lambert, Nilesh J. Samani, Iain Squire, David R. Jones, Veryan Codd, Songya Pang, Maria I. New, Maciej Tomaszewski, John R. Thompson and Paul W. Dickman. Their work appears in journals such as PLoS ONE, Arteriosclerosis Thrombosis and Vascular Biology, Communications Biology, Heart and Circulation.

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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