Matthew Mitschelen
Impact in
Papers in
-
- Growth Hormone and Insulin-like Growth Factors 10
- Pituitary Gland Disorders and Treatments 3
-
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Neurological Disease Mechanisms and Treatments 2
- Co-authors
- William E. Sonntag (19 shared papers)Anna Csiszár (14 shared papers)Zoltán Ungvári (13 shared papers)Yan Han (7 shared papers)Julie A. Farley (13 shared papers)Danuta Sosnowska (8 shared papers)Ákos Koller (7 shared papers)Péter Tóth (6 shared papers)
- Journals
- The Journals of Gerontology Series A (5 papers)Neuroscience (2 papers)The FASEB Journal (2 papers)Journal of Cerebral Blood Flow & Metabolism (2 papers)PLoS ONE (1 paper)
- Partner nations
- United StatesHungaryRussia
In The Last Decade
Matthew Mitschelen
19 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 93
- Neurology 442
- Aging 69
- Developmental Neuroscience 135
- Biological Psychiatry 65
- Physiology 443
Countries citing papers authored by Matthew Mitschelen
This map shows the geographic impact of Matthew Mitschelen'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 Mitschelen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Mitschelen more than expected).
Fields of papers citing papers by Matthew Mitschelen
This network shows the impact of papers produced by Matthew Mitschelen. 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 Mitschelen. The network helps show where Matthew Mitschelen may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Mitschelen, 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 | 2013 | 280 | |
| 2 | 2013 | 207 | |
| 3 | 2010 | 167 | |
| 4 | 2011 | 156 | |
| 5 | 2011 | 125 | |
| 6 | 2017 | 114 | |
| 7 | 2014 | 104 | |
| 8 | 2011 | 93 | |
| 9 | 2011 | 63 | |
| 10 | 2011 | 59 | |
| 11 | 2012 | 59 | |
| 12 | 2012 | 58 | |
| 13 | 2015 | 46 | |
| 14 | 2010 | 44 | |
| 15 | 2009 | 30 | |
| 16 | 2014 | 23 | |
| 17 | 2014 | 17 | |
| 18 | 2014 | 3 | |
| 19 | 2012 | 2 |
About Matthew Mitschelen
Matthew Mitschelen is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology, Physiology, Cancer Research and Molecular Biology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Pituitary Gland Disorders and Treatments (3 papers), Lipid metabolism and disorders (3 papers), Alzheimer's disease research and treatments (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Neurology (442 citations), Aging (69 citations), Developmental Neuroscience (135 citations), Biological Psychiatry (65 citations) and Physiology (443 citations). Matthew Mitschelen has collaborated with scholars based in United States, Hungary and Russia. Frequent co-authors include William E. Sonntag, Anna Csiszár, Zoltán Ungvári, Yan Han, Julie A. Farley, Danuta Sosnowska, Ákos Koller, Péter Tóth, Zsuzsanna Tucsek and Yong Woo Lee. Their work appears in journals such as The Journals of Gerontology Series A, Neuroscience, The FASEB Journal, Journal of Cerebral Blood Flow & Metabolism 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.