Jonathan M. Mudry
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Adipose Tissue and Metabolism 3
- Dietary Effects on Health 1
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- Tryptophan and brain disorders 1
- Co-authors
- Anna Krook (8 shared papers)Juleen Rae Zierath (5 shared papers)Julie Massart (4 shared papers)Rasmus J. O. Sjögren (2 shared papers)Petter S. Alm (2 shared papers)Soetkin Versteyhe (1 shared paper)Romain Barrès (1 shared paper)Morten Rasmussen (1 shared paper)
- Journals
- Journal of Endocrinology (2 papers)Molecular Metabolism (2 papers)Diabetes (2 papers)European Journal of Endocrinology (1 paper)EClinicalMedicine (1 paper)
- Partner nations
- SwedenSwitzerlandDenmark
In The Last Decade
Jonathan M. Mudry
11 papers receiving 687 citations
Jonathan M. Mudry's Hit Papers
Peers
Comparison fields: 5 of 85
- Biological Psychiatry 39
- Cancer Research 153
- Pediatrics, Perinatology and Child Health 137
- Behavioral Neuroscience 23
- Reproductive Medicine 53
Countries citing papers authored by Jonathan M. Mudry
This map shows the geographic impact of Jonathan M. Mudry'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 Jonathan M. Mudry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Mudry more than expected).
Fields of papers citing papers by Jonathan M. Mudry
This network shows the impact of papers produced by Jonathan M. Mudry. 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 Jonathan M. Mudry. The network helps show where Jonathan M. Mudry may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan M. Mudry, 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 | High-fat diet reprograms the epigenome of rat spermatozoa and transgenerationally affects metabolism of the offspring Hit paper breakdown → | 2015 | 316 |
| 2 | 2017 | 166 | |
| 3 | 2016 | 54 | |
| 4 | 2024 | 50 | |
| 5 | 2017 | 40 | |
| 6 | 2016 | 26 | |
| 7 | 2015 | 22 | |
| 8 | 2022 | 13 | |
| 9 | 2015 | 4 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 1 |
About Jonathan M. Mudry
Jonathan M. Mudry is a scholar working on Physiology, Biological Psychiatry, Molecular Biology, Genetics and Cancer Research, having authored 11 papers that have together received 693 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Tryptophan and brain disorders (1 paper), Pancreatic function and diabetes (1 paper), Mitochondrial Function and Pathology (1 paper), Dietary Effects on Health (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and Inflammasome and immune disorders (1 paper). The work is most often cited by research in Biological Psychiatry (39 citations), Cancer Research (153 citations), Pediatrics, Perinatology and Child Health (137 citations), Behavioral Neuroscience (23 citations) and Reproductive Medicine (53 citations). Jonathan M. Mudry has collaborated with scholars based in Sweden, Switzerland and Denmark. Frequent co-authors include Anna Krook, Juleen Rae Zierath, Julie Massart, Rasmus J. O. Sjögren, Petter S. Alm, Soetkin Versteyhe, Romain Barrès, Morten Rasmussen, Thaís de Castro Barbosa and Laurène Vetterli. Their work appears in journals such as Journal of Endocrinology, Molecular Metabolism, Diabetes, European Journal of Endocrinology and EClinicalMedicine.
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.