Nicholas F. Brown
- Clinical Biochemistry top 0.2%
- Metabolism and Genetic Disorders 17
- Physiology top 2%
- Adipose Tissue and Metabolism 6
- Molecular Biology top 5%
- Mitochondrial Function and Pathology 17
- Peroxisome Proliferator-Activated Receptors 7
- Metabolism, Diabetes, and Cancer 6
- Genetics top 2%
- Glioma Diagnosis and Treatment 11
- Biochemistry top 2%
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- Hormonal Regulation and Hypertension 7
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- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Julie McGarryGermán PerdomoDaniel W. FosterRobert M. O’DohertyIan SipulaPaul MulhollandVictoria EsserMaja Stefanović-Račić
- Journals
- Journal of Biological Chemistry (9 papers)Journal of Clinical Oncology (4 papers)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Nicholas F. Brown
59 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Clinical Biochemistry 1.1k
- Physiology 1.1k
- Molecular Biology 2.3k
- Genetics 353
- Biochemistry 238
Countries citing papers authored by Nicholas F. Brown
This map shows the geographic impact of Nicholas F. Brown'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 Nicholas F. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas F. Brown more than expected).
Fields of papers citing papers by Nicholas F. Brown
This network shows the impact of papers produced by Nicholas F. Brown. 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 Nicholas F. Brown. The network helps show where Nicholas F. Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicholas F. Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 112 | |
| 5 | 2021 | 42 | |
| 6 | 2020 | 37 | |
| 7 | 2020 | 13 | |
| 8 | 2018 | 14 | |
| 9 | 2018 | 54 | |
| 10 | 2018 | 20 | |
| 11 | 2018 | 168 | |
| 12 | 2016 | 47 | |
| 13 | 2011 | 6 | |
| 14 | 2008 | 48 | |
| 15 | 2004 | 131 | |
| 16 | 2003 | 11 | |
| 17 | 2000 | 30 | |
| 18 | The Mitochondrial Carnitine Palmitoyltransferase System — From Concept to Molecular Analysisbreakdown → | 1997 | 1358 |
| 19 | 1996 | 141 | |
| 20 | 1995 | 142 |
About Nicholas F. Brown
Nicholas F. Brown is a scholar working on Clinical Biochemistry, Genetics and Immunology and Allergy, having authored 60 papers that have together received 3.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (17 papers), Metabolism and Genetic Disorders (17 papers), Glioma Diagnosis and Treatment (11 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Hormonal Regulation and Hypertension (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Adipose Tissue and Metabolism (6 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Clinical Biochemistry (1.1k citations), Physiology (1.1k citations) and Molecular Biology (2.3k citations). Nicholas F. Brown has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Julie McGarry, Germán Perdomo, Daniel W. Foster, Robert M. O’Doherty, Ian Sipula, Paul Mulholland, Victoria Esser, Maja Stefanović-Račić, Diego Ottaviani and John F. Marshall. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and PLoS ONE.
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.