Matthew Hoffman

933 citations
22 papers · 524 · h-index 12

Impact in

Papers in

Matthew Hoffman

22 papers receiving 518 citations

Peers

Matthew Hoffman
Comparison fields: 5 of 84
  • Nephrology 45
  • Cardiology and Cardiovascular Medicine 130
  • Genetics 140
  • Molecular Biology 254
  • Endocrinology, Diabetes and Metabolism 56
Replace Masato Isono with:
Masato Isono Japan
A.J.S. Bhanwer India
Ondrej Juhász United States
Dehuang Guo United States
Teresa Tusié‐Luna Mexico
Wing Yan So Hong Kong
Anne Debonneville Switzerland
Eriko Ohta Japan
Jean-Marie Gasc France
Otor Al‐Khalili United States
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Citations per field
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Masato Isono · 1×
Citations per year

Countries citing papers authored by Matthew Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019104
2 201585
3 201380
4 201447
5 200235
6 201524
7 201219
8 201219
9 201217
10 201315
11 201914
12 201311
13 20219
14 20187
15 20107
16 20147
17
The even-number guide and imaging ballistic injuries.
20076
18 20125
19 20144
20 20223

About Matthew Hoffman

Matthew Hoffman is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Endocrinology, Diabetes and Metabolism and Surgery, having authored 22 papers that have together received 524 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (5 papers), Genetic Associations and Epidemiology (5 papers), Bioinformatics and Genomic Networks (5 papers), Birth, Development, and Health (3 papers), Hormonal Regulation and Hypertension (3 papers), Renal and related cancers (2 papers), Molecular Biology Techniques and Applications (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Nephrology (45 citations), Cardiology and Cardiovascular Medicine (130 citations), Genetics (140 citations), Molecular Biology (254 citations) and Endocrinology, Diabetes and Metabolism (56 citations). Matthew Hoffman has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Carol Moreno, Howard J. Jacob, Michael J. Flister, Aron M. Geurts, Melinda R. Dwinell, Caitlin C. O’Meara, Jozef Lazar, Bradley T. Endres, Shirng‐Wern Tsaih and Alexander Staruschenko. Their work appears in journals such as Hypertension, Physiological Genomics, Journal of the American Society of Nephrology, Database and Circulation Cardiovascular Genetics.

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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