David M. Rees

564 citations
7 papers · 460 · h-index 5

Impact in

Papers in

    • Genomics and Chromatin Dynamics 2
    • Mitochondrial Function and Pathology 2
    • ATP Synthase and ATPases Research 2
    • Photosynthetic Processes and Mechanisms 1
    • RNA and protein synthesis mechanisms 1
    • Biochemical and Molecular Research 1
    • Lipoproteins and Cardiovascular Health 1
    • Cholesterol and Lipid Metabolism 1

David M. Rees

7 papers receiving 456 citations

Peers

David M. Rees
Comparison fields: 5 of 61
  • Geriatrics and Gerontology 91
  • Structural Biology 26
  • Molecular Biology 345
  • Cancer Research 39
  • Physiology 63
Replace Jungeun Noh with:
Jungeun Noh South Korea
Jurgen Kriel South Africa
Ornella D. Nelson United States
Aishwarya Iyer Germany
Sidong Cai China
Ileana Hernández‐Reséndiz Mexico
Raffaele Raucci Italy
Fiona M. Russell United Kingdom
Elsayed A. Elmorsy Saudi Arabia
Katalin Hantó Hungary
David M. Rees relative to Jungeun Noh South Korea Jungeun Noh's profile →
Citations per field
00.5×5.2×
Jungeun Noh · 1×
Citations per year

Countries citing papers authored by David M. Rees

Since Specialization
Citations

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

Fields of papers citing papers by David M. Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2009152
2 2013148
3 201275
4 199956
5 201722
6 19974
7 20173

About David M. Rees

David M. Rees is a scholar working on Molecular Biology, Surgery, Geriatrics and Gerontology, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 7 papers that have together received 460 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (2 papers), Mitochondrial Function and Pathology (2 papers), ATP Synthase and ATPases Research (2 papers), Photosynthetic Processes and Mechanisms (1 paper), Lipoproteins and Cardiovascular Health (1 paper), RNA and protein synthesis mechanisms (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Geriatrics and Gerontology (91 citations), Structural Biology (26 citations), Molecular Biology (345 citations), Cancer Research (39 citations) and Physiology (63 citations). David M. Rees has collaborated with scholars based in United Kingdom, South Korea and Australia. Frequent co-authors include John E. Walker, Andrew G. W. Leslie, M.G. Montgomery, Roger T. Dean, Leonard Kritharides, David Gius, Ian M. Fearnley, Athanassios Vassilopoulos, J. Daniel Pennington and Amy‐Joan L. Ham. Their work appears in journals such as Proceedings of the National Academy of Sciences, Atherosclerosis, Antioxidants and Redox Signaling, Journal of Biological Chemistry and Nucleic Acids Research.

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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