John Szpyt

9.3k total citations · 4 hit papers
13 papers, 2.1k citations indexed

About

John Szpyt is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, John Szpyt has authored 13 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Cell Biology. Recurrent topics in John Szpyt's work include Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Muscle metabolism and nutrition (3 papers). John Szpyt is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Muscle metabolism and nutrition (3 papers). John Szpyt collaborates with scholars based in United States, United Kingdom and Ireland. John Szpyt's co-authors include Mark P. Jedrychowski, Steven P. Gygi, Bruce M. Spiegelman, João A. Paulo, Brian K. Erickson, K. Sreekumaran Nair, Matthew M. Robinson, Christiane D. Wrann, Kaitlyn K. Gerber and Devin K. Schweppe and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

John Szpyt

13 papers receiving 2.1k citations

Hit Papers

Quantitative Proteomics of the Cancer Cell Line... 2015 2026 2018 2022 2020 2015 2016 2020 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Quantitative Proteomics of the Cancer Cell Line Encyclopedia
    2020 574 citations David P. Nusinow, John Szpyt et al. Cell profile →
  2. Detection and Quantitation of Circulating Human Irisin by Tandem Mass Spectrometry
    2015 448 citations Mark P. Jedrychowski, Christiane D. Wrann et al. Cell Metabolism profile →
  3. Mitochondrial ROS regulate thermogenic energy expenditure and sulfenylation of UCP1
    2016 364 citations Edward T. Chouchani, Lawrence Kazak et al. Nature profile →
  4. A Quantitative Tissue-Specific Landscape of Protein Redox Regulation during Aging
    2020 260 citations Haopeng Xiao, Mark P. Jedrychowski et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Szpyt United States 12 1.1k 954 369 249 222 13 2.1k
Steve P. Gygi United States 15 1.3k 1.1× 853 0.9× 449 1.2× 397 1.6× 198 0.9× 22 2.2k
Mauricio Berriel Díaz Germany 26 1.2k 1.1× 978 1.0× 571 1.5× 223 0.9× 96 0.4× 45 2.5k
Paul R. Langlais United States 29 1.8k 1.5× 865 0.9× 581 1.6× 405 1.6× 64 0.3× 93 3.1k
Srikripa Devarakonda United States 10 1.0k 0.9× 1.6k 1.7× 904 2.4× 237 1.0× 281 1.3× 12 2.6k
Edward T. Chouchani United States 26 1.6k 1.4× 2.0k 2.1× 917 2.5× 490 2.0× 372 1.7× 33 3.7k
Haowei Song United States 26 1.1k 1.0× 973 1.0× 325 0.9× 318 1.3× 34 0.2× 38 2.3k
Xu Bai United States 15 1.2k 1.0× 690 0.7× 405 1.1× 211 0.8× 93 0.4× 25 2.0k
Norbert Tennagels Germany 21 1.1k 1.0× 578 0.6× 346 0.9× 149 0.6× 53 0.2× 45 2.1k
Jong Hyuk Yoon South Korea 20 897 0.8× 341 0.4× 232 0.6× 119 0.5× 81 0.4× 44 1.5k
Hai‐Bin Ruan United States 27 1.9k 1.7× 1000 1.0× 612 1.7× 255 1.0× 37 0.2× 51 3.3k

Countries citing papers authored by John Szpyt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of John Szpyt

This figure shows the co-authorship network connecting the top 25 collaborators of John Szpyt. A scholar is included among the top collaborators of John Szpyt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Szpyt. John Szpyt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Keele, Gregory R., Jigang Zhang, John Szpyt, et al.. (2023). Global and tissue-specific aging effects on murine proteomes. Cell Reports. 42(7). 112715–112715. 29 indexed citations
2.
Mills, Evanna L., Cathal Harmon, Mark P. Jedrychowski, et al.. (2021). UCP1 governs liver extracellular succinate and inflammatory pathogenesis. Nature Metabolism. 3(5). 604–617. 114 indexed citations
3.
Mills, Evanna L., Cathal Harmon, Mark P. Jedrychowski, et al.. (2021). Cysteine 253 of UCP1 regulates energy expenditure and sex-dependent adipose tissue inflammation. Cell Metabolism. 34(1). 140–157.e8. 38 indexed citations
4.
Prado, Miguel A., Stefanie A.H. de Poot, João A. Paulo, et al.. (2020). Global proteomics of Ubqln2-based murine models of ALS. Journal of Biological Chemistry. 296. 100153–100153. 26 indexed citations
5.
Xiao, Haopeng, Mark P. Jedrychowski, Devin K. Schweppe, et al.. (2020). A Quantitative Tissue-Specific Landscape of Protein Redox Regulation during Aging. Cell. 180(5). 968–983.e24. 260 indexed citations breakdown →
6.
Jedrychowski, Mark P., Gina Z. Lu, John Szpyt, et al.. (2020). Facultative protein selenation regulates redox sensitivity, adipose tissue thermogenesis, and obesity. Proceedings of the National Academy of Sciences. 117(20). 10789–10796. 31 indexed citations
7.
Nusinow, David P., John Szpyt, Mahmoud Ghandi, et al.. (2020). Quantitative Proteomics of the Cancer Cell Line Encyclopedia. Cell. 180(2). 387–402.e16. 574 indexed citations breakdown →
8.
Hong, Shangyu, Wei Song, Peter‐James H. Zushin, et al.. (2018). Phosphorylation of Beta-3 adrenergic receptor at serine 247 by ERK MAP kinase drives lipolysis in obese adipocytes. Molecular Metabolism. 12. 25–38. 56 indexed citations
9.
Kazak, Lawrence, Edward T. Chouchani, Irina G. Stavrovskaya, et al.. (2017). UCP1 deficiency causes brown fat respiratory chain depletion and sensitizes mitochondria to calcium overload-induced dysfunction. Proceedings of the National Academy of Sciences. 114(30). 7981–7986. 131 indexed citations
10.
Chouchani, Edward T., Lawrence Kazak, Mark P. Jedrychowski, et al.. (2016). Mitochondrial ROS regulate thermogenic energy expenditure and sulfenylation of UCP1. Nature. 532(7597). 112–116. 364 indexed citations breakdown →
11.
Jedrychowski, Mark P., Christiane D. Wrann, João A. Paulo, et al.. (2015). Detection and Quantitation of Circulating Human Irisin by Tandem Mass Spectrometry. Cell Metabolism. 22(4). 734–740. 448 indexed citations breakdown →
12.
Szpyt, John, Nancy M. Lorenzon, Claudio F. Pérez, et al.. (2012). Three-Dimensional Localization of the α and β Subunits and of the II-III Loop in the Skeletal Muscle L-type Ca2+ Channel. Journal of Biological Chemistry. 287(52). 43853–43861. 10 indexed citations
13.
Eltit, José M., John Szpyt, Hongli Li, Paul D. Allen, & Claudio F. Pérez. (2011). Reduced gain of excitation–contraction coupling in triadin-null myotubes is mediated by the disruption of FKBP12/RyR1 interaction. Cell Calcium. 49(2). 128–135. 13 indexed citations

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.

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