Matthew G. Rees

11.5k citations
38 papers · 847 · h-index 15

Impact in

Papers in

    • Protein Degradation and Inhibitors 4
    • Ubiquitin and proteasome pathways 3
    • Bioinformatics and Genomic Networks 3
    • Metabolism, Diabetes, and Cancer 2
    • ATP Synthase and ATPases Research 2
    • Epigenetics and DNA Methylation 2
    • Pancreatic function and diabetes 7

Matthew G. Rees

36 papers receiving 837 citations

Peers

Matthew G. Rees
Comparison fields: 5 of 118
  • Molecular Biology 360
  • Endocrinology, Diabetes and Metabolism 78
  • Cancer Research 61
  • Human-Computer Interaction 24
  • Biomaterials 56
Replace Laura Lentini with:
Laura Lentini Italy
Hannah Schneider Switzerland
Heather Jackson Australia
Yumin Oh United States
Shuo Yang China
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Tatsuhiro Joki Japan
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Citations per field
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Citations per year

Countries citing papers authored by Matthew G. Rees

Since Specialization
Citations

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

Fields of papers citing papers by Matthew G. Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022145
2 201590
3 201175
4 202172
5
Chemistry and structure activity relationships of bafilomycin A1, a potent and selective inhibitor of the vacuolar H+-ATPase.
199966
6 202358
7 202340
8 201339
9 201137
10 201537
11 202226
12 202322
13 201221
14 201420
15 201219
16 202211
17 202210
18 200210
19 20248
20 20016

About Matthew G. Rees

Matthew G. Rees is a scholar working on Molecular Biology, Surgery, Genetics, Oncology and Genetics, having authored 38 papers that have together received 847 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (3 papers), Bioinformatics and Genomic Networks (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), ATP Synthase and ATPases Research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Molecular Biology (360 citations), Endocrinology, Diabetes and Metabolism (78 citations), Cancer Research (61 citations), Human-Computer Interaction (24 citations) and Biomaterials (56 citations). Matthew G. Rees has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Anna L. Gloyn, Anne Raimondo, Jennifer A. Roth, Stefania Gagliardi, C Farina, Francis S. Collins, Melissa M. Ronan, Nicola L. Beer, Jaime H. Cheah and Simone Baltrusch. Their work appears in journals such as Nature Chemical Biology, Cancer Research, Journal of the American Chemical Society, Molecular Cancer Therapeutics and Nature Metabolism.

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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