John Szpyt
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Rehabilitation top 2%
- Exercise and Physiological Responses
Papers in
-
- Ion channel regulation and function 2
- Mitochondrial Function and Pathology 2
-
- Adipose Tissue and Metabolism 6
- Co-authors
- Mark P. Jedrychowski (10 shared papers)Steven P. Gygi (10 shared papers)Bruce M. Spiegelman (5 shared papers)João A. Paulo (4 shared papers)Brian K. Erickson (3 shared papers)Christiane D. Wrann (1 shared paper)K. Sreekumaran Nair (1 shared paper)Kaitlyn K. Gerber (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Cell Metabolism (2 papers)Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cell Reports (1 paper)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
John Szpyt
13 papers receiving 2.2k citations
John Szpyt's Hit Papers
Peers
Comparison fields: 5 of 116
- Physiology 923
- Rehabilitation 190
- Aging 38
- Biochemistry 147
- Geriatrics and Gerontology 50
Countries citing papers authored by John Szpyt
This map shows the geographic impact of John Szpyt'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 John Szpyt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Szpyt more than expected).
Fields of papers citing papers by John Szpyt
This network shows the impact of papers produced by John Szpyt. 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 John Szpyt. The network helps show where John Szpyt may publish in the future.
Co-authors
The 25 scholars most cited alongside John Szpyt, 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 | Quantitative Proteomics of the Cancer Cell Line Encyclopedia Hit paper breakdown → | 2020 | 600 |
| 2 | Detection and Quantitation of Circulating Human Irisin by Tandem Mass Spectrometry Hit paper breakdown → | 2015 | 455 |
| 3 | Mitochondrial ROS regulate thermogenic energy expenditure and sulfenylation of UCP1 Hit paper breakdown → | 2016 | 373 |
| 4 | A Quantitative Tissue-Specific Landscape of Protein Redox Regulation during Aging Hit paper breakdown → | 2020 | 277 |
| 5 | 2017 | 134 | |
| 6 | 2021 | 129 | |
| 7 | 2018 | 58 | |
| 8 | 2021 | 40 | |
| 9 | 2020 | 33 | |
| 10 | 2023 | 32 | |
| 11 | 2020 | 31 | |
| 12 | 2011 | 13 | |
| 13 | 2012 | 10 |
About John Szpyt
John Szpyt is a scholar working on Molecular Biology, Physiology, Cell Biology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 13 papers that have together received 2.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Muscle metabolism and nutrition (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Ion channel regulation and function (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Mitochondrial Function and Pathology (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Physiology (923 citations), Rehabilitation (190 citations), Aging (38 citations), Biochemistry (147 citations) and Geriatrics and Gerontology (50 citations). John Szpyt has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Mark P. Jedrychowski, Steven P. Gygi, Bruce M. Spiegelman, João A. Paulo, Brian K. Erickson, Christiane D. Wrann, K. Sreekumaran Nair, Kaitlyn K. Gerber, Devin K. Schweppe and Matthew M. Robinson. Their work appears in journals such as Journal of Biological Chemistry, Cell Metabolism, Cell, Proceedings of the National Academy of Sciences and Cell Reports.
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.