John Meshki
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
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- Neuropeptides and Animal Physiology
Papers in
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- Protein Kinase Regulation and GTPase Signaling 4
- Receptor Mechanisms and Signaling 3
- Cell death mechanisms and regulation 2
- Melanoma and MAPK Pathways 2
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
- Co-authors
- Florin Tuluc (13 shared papers)Steven D. Douglas (8 shared papers)Satya P. Kunapuli (5 shared papers)Marcelo G. Kazanietz (3 shared papers)M. Cecilia Caino (3 shared papers)Sergei Spitsin (4 shared papers)Zhongren Ding (1 shared paper)Lynnae Schwartz (2 shared papers)
- Journals
- Journal of Leukocyte Biology (2 papers)American Journal of Physiology-Cell Physiology (2 papers)Journal of Biological Chemistry (2 papers)PLoS ONE (2 papers)BMB Reports (1 paper)
- Partner nations
- United StatesItalyRomania
In The Last Decade
John Meshki
18 papers receiving 483 citations
Peers
Comparison fields: 5 of 75
- Physiology 62
- Cellular and Molecular Neuroscience 104
- Virology 21
- Immunology and Allergy 26
- Immunology 81
Countries citing papers authored by John Meshki
This map shows the geographic impact of John Meshki'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 Meshki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Meshki more than expected).
Fields of papers citing papers by John Meshki
This network shows the impact of papers produced by John Meshki. 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 Meshki. The network helps show where John Meshki may publish in the future.
Co-authors
The 25 scholars most cited alongside John Meshki, 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 | 2009 | 69 | |
| 2 | 2004 | 63 | |
| 3 | 2005 | 50 | |
| 4 | 2010 | 37 | |
| 5 | 2011 | 37 | |
| 6 | 2004 | 33 | |
| 7 | 2003 | 33 | |
| 8 | 2009 | 33 | |
| 9 | 2016 | 32 | |
| 10 | 2014 | 28 | |
| 11 | 2010 | 26 | |
| 12 | 2012 | 16 | |
| 13 | 2006 | 11 | |
| 14 | 2005 | 10 | |
| 15 | 2013 | 7 | |
| 16 | 2013 | 6 | |
| 17 | 2024 | 1 | |
| 18 | [Functional characteristics of nucleotide-receptors in human neutrophils]. | 2006 | 1 |
About John Meshki
John Meshki is a scholar working on Molecular Biology, Immunology, Virology, Physiology and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 493 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Adenosine and Purinergic Signaling (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Receptor Mechanisms and Signaling (3 papers), HIV Research and Treatment (3 papers), Cell death mechanisms and regulation (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Physiology (62 citations), Cellular and Molecular Neuroscience (104 citations), Virology (21 citations), Immunology and Allergy (26 citations) and Immunology (81 citations). John Meshki has collaborated with scholars based in United States, Italy and Romania. Frequent co-authors include Florin Tuluc, Steven D. Douglas, Satya P. Kunapuli, Marcelo G. Kazanietz, M. Cecilia Caino, Sergei Spitsin, Zhongren Ding, Lynnae Schwartz, Jianping Lai and Laurie E. Kilpatrick. Their work appears in journals such as Journal of Leukocyte Biology, American Journal of Physiology-Cell Physiology, Journal of Biological Chemistry, PLoS ONE and BMB 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.