Jacek Losy
- Neurology top 1%
- Peripheral Neuropathies and Disorders 14
- Neuroinflammation and Neurodegeneration Mechanisms 10
- Biological Psychiatry top 5%
- Immunology top 5%
- Immunotherapy and Immune Responses 17
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- Multiple Sclerosis Research Studies 35
- Developmental Neuroscience top 5%
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- Systemic Lupus Erythematosus Research 8
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- Chemokine receptors and signaling 8
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- Monoclonal and Polyclonal Antibodies Research 6
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- S100 Proteins and Annexins 6
- Co-authors
- Jacek ZarembaAlicja KalinowskaM WenderPiotr IwanowskiMarkku PartinenMariusz SiemińskiJan IlkowskiWojciech Kozubski
- Partner nations
- PolandSlovakiaUnited States
In The Last Decade
Jacek Losy
91 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 111
- Neurology 643
- Biological Psychiatry 82
- Immunology 653
- Pathology and Forensic Medicine 494
- Developmental Neuroscience 112
Countries citing papers authored by Jacek Losy
This map shows the geographic impact of Jacek Losy'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 Jacek Losy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacek Losy more than expected).
Fields of papers citing papers by Jacek Losy
This network shows the impact of papers produced by Jacek Losy. 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 Jacek Losy. The network helps show where Jacek Losy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacek Losy, 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 | 2024 | 3 | |
| 2 | 2023 | 0 | |
| 3 | 2020 | 13 | |
| 4 | The reciprocal links between synaptophysin serum levels and the prevalence of metabolic syndrome according to selected low-grade inflammation indices and age-related androgen serum level changes in men. | 2016 | 1 |
| 5 | 2015 | 1 | |
| 6 | 2014 | 55 | |
| 7 | 2011 | 6 | |
| 8 | 2010 | 24 | |
| 9 | The interpretation of oligoclonal bands based on artiÞ cial neuronal networks | 2009 | 0 |
| 10 | Cytokines in the pathogenesis of multiple sclerosis | 2007 | 2 |
| 11 | 2007 | 14 | |
| 12 | 2006 | 65 | |
| 13 | 2003 | 65 | |
| 14 | Adhesion molecules of immunoglobulin gene superfamily in stroke. | 2002 | 11 |
| 15 | 2002 | 33 | |
| 16 | 2001 | 158 | |
| 17 | 2001 | 77 | |
| 18 | [The role of cell adhesion molecules in certain neurological diseases]. | 1999 | 2 |
| 19 | 1996 | 0 | |
| 20 | Catecholamines in the rat brain during hypoglycemic convulsions and coma. | 1989 | 1 |
About Jacek Losy
Jacek Losy is a scholar working on Pathology and Forensic Medicine, Immunology and Neurology, having authored 94 papers that have together received 2.0k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (35 papers), Immunotherapy and Immune Responses (17 papers), Peripheral Neuropathies and Disorders (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Systemic Lupus Erythematosus Research (8 papers), Chemokine receptors and signaling (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and S100 Proteins and Annexins (6 papers). The work is most often cited by research in Neurology (643 citations), Biological Psychiatry (82 citations) and Immunology (653 citations). Jacek Losy has collaborated with scholars based in Poland, Slovakia and United States. Frequent co-authors include Jacek Zaremba, Alicja Kalinowska, M Wender, Piotr Iwanowski, Markku Partinen, Mariusz Siemiński, Jan Ilkowski, Wojciech Kozubski, Mikołaj A. Pawlak and Janusz Rybakowski.
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.