Matthew Budd
Impact in
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
- Psychiatry and Mental health top 10%
- Psychosomatic Disorders and Their Treatments
Papers in
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- Metabolomics and Mass Spectrometry Studies 2
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- Mobile Health and mHealth Applications 2
- Co-authors
- Mary L. Efron (3 shared papers)Kay Tanaka (3 shared papers)K. J. Isselbacher (1 shared paper)David C. McClelland (2 shared papers)Joan Z. Borysenko (1 shared paper)Herbert Benson (1 shared paper)Caroline McLeod (2 shared papers)John D. Crawford (2 shared papers)
- Journals
- Autonomous Robots (2 papers)New England Journal of Medicine (2 papers)AIDS (1 paper)Diabetologia (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Matthew Budd
22 papers receiving 750 citations
Peers
Comparison fields: 5 of 113
- Clinical Biochemistry 280
- Psychiatry and Mental health 99
- Biochemistry 39
- Infectious Diseases 74
- Family Practice 7
Countries citing papers authored by Matthew Budd
This map shows the geographic impact of Matthew Budd'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 Budd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Budd more than expected).
Fields of papers citing papers by Matthew Budd
This network shows the impact of papers produced by Matthew Budd. 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 Budd. The network helps show where Matthew Budd may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Budd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1966 | 289 | |
| 2 | 1990 | 134 | |
| 3 | 1967 | 91 | |
| 4 | 1997 | 63 | |
| 5 | 2018 | 51 | |
| 6 | 1964 | 34 | |
| 7 | 2018 | 29 | |
| 8 | 1966 | 22 | |
| 9 | 2018 | 20 | |
| 10 | 2011 | 19 | |
| 11 | 2018 | 18 | |
| 12 | 2018 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 1959 | 8 | |
| 16 | 2023 | 6 | |
| 17 | 1999 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Matthew Budd
Matthew Budd is a scholar working on Molecular Biology, General Health Professions, Control and Systems Engineering, Artificial Intelligence and Cancer Research, having authored 24 papers that have together received 834 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Diabetes and associated disorders (2 papers), Metabolism and Genetic Disorders (2 papers), Mobile Health and mHealth Applications (2 papers), HIV/AIDS Research and Interventions (2 papers), Psychosomatic Disorders and Their Treatments (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Clinical Biochemistry (280 citations), Psychiatry and Mental health (99 citations), Biochemistry (39 citations), Infectious Diseases (74 citations) and Family Practice (7 citations). Matthew Budd has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mary L. Efron, Kay Tanaka, K. J. Isselbacher, David C. McClelland, Joan Z. Borysenko, Herbert Benson, Caroline McLeod, John D. Crawford, Lewis B. Holmes and Kurt J. Isselbacher. Their work appears in journals such as Autonomous Robots, New England Journal of Medicine, AIDS, Diabetologia and Frontiers in Immunology.
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.