Lyndon J. Mitnaul
- Epidemiology top 5%
- Influenza Virus Research Studies 3
- Respiratory viral infections research 3
- Agronomy and Crop Science top 5%
- Virology top 10%
- Immunology top 10%
- Infectious Diseases top 10%
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- Drug Transport and Resistance Mechanisms 5
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- Cholesterol and Lipid Metabolism 5
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- Peroxisome Proliferator-Activated Receptors 3
- Metabolomics and Mass Spectrometry Studies 2
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- Metabolism and Genetic Disorders 2
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- Adipose Tissue and Metabolism 2
- Co-authors
- Yoshihiro KawaokaMaria Rita CastrucciNikolai V. BovinMikhail MatrosovichDarwyn KobasaAlexander TuzikovYasuo SuzukiHiroshi Kida
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Virology (3 papers)Genome Research (1 paper)
- Partner nations
- United StatesNetherlandsJapan
In The Last Decade
Lyndon J. Mitnaul
20 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 86
- Epidemiology 640
- Agronomy and Crop Science 164
- Virology 76
- Immunology 251
- Infectious Diseases 207
Countries citing papers authored by Lyndon J. Mitnaul
This map shows the geographic impact of Lyndon J. Mitnaul'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 Lyndon J. Mitnaul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lyndon J. Mitnaul more than expected).
Fields of papers citing papers by Lyndon J. Mitnaul
This network shows the impact of papers produced by Lyndon J. Mitnaul. 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 Lyndon J. Mitnaul. The network helps show where Lyndon J. Mitnaul may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lyndon J. Mitnaul, 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 | 2015 | 6 | |
| 2 | 2014 | 15 | |
| 3 | 2011 | 5 | |
| 4 | 2011 | 34 | |
| 5 | 2011 | 91 | |
| 6 | 2010 | 37 | |
| 7 | 2009 | 41 | |
| 8 | 2008 | 29 | |
| 9 | 2006 | 13 | |
| 10 | 2006 | 19 | |
| 11 | 2005 | 112 | |
| 12 | 2005 | 63 | |
| 13 | 2003 | 26 | |
| 14 | 2003 | 25 | |
| 15 | 2001 | 141 | |
| 16 | 2000 | 312 | |
| 17 | 1997 | 219 | |
| 18 | 1996 | 116 | |
| 19 | 1995 | 49 | |
| 20 | 1988 | 4 |
About Lyndon J. Mitnaul
Lyndon J. Mitnaul is a scholar working on Clinical Biochemistry, Internal Medicine and Oncology, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Cholesterol and Lipid Metabolism (5 papers), Influenza Virus Research Studies (3 papers), Respiratory viral infections research (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Metabolism and Genetic Disorders (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Epidemiology (640 citations), Agronomy and Crop Science (164 citations) and Virology (76 citations). Lyndon J. Mitnaul has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Yoshihiro Kawaoka, Maria Rita Castrucci, Nikolai V. Bovin, Mikhail Matrosovich, Darwyn Kobasa, Alexander Tuzikov, Yasuo Suzuki, Hiroshi Kida, Toshihiro Ito and K. Gopal Murti. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology and Genome 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.