John Meshki
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
-
- Neuropeptides and Animal Physiology
Papers in
-
- Receptor Mechanisms and Signaling 4
- Protein Kinase Regulation and GTPase Signaling 4
- Signaling Pathways in Disease 2
- Lipid Membrane Structure and Behavior 2
- Immunology 10
- 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)Jianping Lai (2 shared papers)Lynnae Schwartz (2 shared papers)
- Journals
- Journal of Leukocyte Biology (2 papers)Journal of Biological Chemistry (2 papers)PLoS ONE (2 papers)American Journal of Physiology-Cell Physiology (2 papers)AIDS (1 paper)
- Partner nations
- United StatesRomaniaItaly
In The Last Decade
John Meshki
18 papers receiving 467 citations
Peers
Comparison fields: 5 of 77
- Physiology 63
- Cellular and Molecular Neuroscience 105
- Virology 27
- Immunology 96
- Immunology and Allergy 25
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 | 67 | |
| 2 | 2004 | 62 | |
| 3 | 2005 | 49 | |
| 4 | 2010 | 37 | |
| 5 | 2011 | 35 | |
| 6 | 2009 | 33 | |
| 7 | 2003 | 32 | |
| 8 | 2004 | 31 | |
| 9 | 2016 | 30 | |
| 10 | 2014 | 26 | |
| 11 | 2010 | 25 | |
| 12 | 2012 | 14 | |
| 13 | 2005 | 10 | |
| 14 | 2006 | 10 | |
| 15 | 2013 | 7 | |
| 16 | 2013 | 5 | |
| 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, Cellular and Molecular Neuroscience and Physiology, having authored 18 papers that have together received 475 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), Receptor Mechanisms and Signaling (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Neuropeptides and Animal Physiology (3 papers), Adenosine and Purinergic Signaling (3 papers), Signaling Pathways in Disease (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Physiology (63 citations), Cellular and Molecular Neuroscience (105 citations), Virology (27 citations), Immunology (96 citations) and Immunology and Allergy (25 citations). John Meshki has collaborated with scholars based in United States, Romania and Italy. Frequent co-authors include Florin Tuluc, Steven D. Douglas, Satya P. Kunapuli, Marcelo G. Kazanietz, M. Cecilia Caino, Sergei Spitsin, Jianping Lai, Lynnae Schwartz, Zhongren Ding and Laurie E. Kilpatrick. Their work appears in journals such as Journal of Leukocyte Biology, Journal of Biological Chemistry, PLoS ONE, American Journal of Physiology-Cell Physiology and AIDS.
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.