Jacek Losy
- Immunology top 5%
- Neurology top 1%
- Pathology and Forensic Medicine top 2%
- Molecular Biology
- Neurology top 5%
- Co-authors
- Jacek ZarembaAlicja KalinowskaM WenderPiotr IwanowskiMarkku PartinenMariusz SiemińskiJan IlkowskiWojciech Kozubski
- Topics
- Multiple Sclerosis Research Studies (35 papers)Immunotherapy and Immune Responses (17 papers)Peripheral Neuropathies and Disorders (14 papers)
- Partner nations
- PolandSlovakiaUnited States
In The Last Decade
Jacek Losy
91 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 111
- Immunology 653
- Neurology 643
- Pathology and Forensic Medicine 494
- Molecular Biology 482
- Neurology 302
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 of co-authors of Jacek Losy
This figure shows the co-authorship network connecting the top 25 collaborators of Jacek Losy. A scholar is included among the top collaborators of Jacek Losy 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 Jacek Losy. Jacek Losy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 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. | 1 |
| 5 | 1 | |
| 6 | 55 | |
| 7 | 6 | |
| 8 | 24 | |
| 9 | The interpretation of oligoclonal bands based on artiÞ cial neuronal networks | 0 |
| 10 | Cytokines in the pathogenesis of multiple sclerosis | 2 |
| 11 | 14 | |
| 12 | 65 | |
| 13 | 65 | |
| 14 | Adhesion molecules of immunoglobulin gene superfamily in stroke. | 11 |
| 15 | 33 | |
| 16 | 158 | |
| 17 | 77 | |
| 18 | [The role of cell adhesion molecules in certain neurological diseases]. | 2 |
| 19 | 0 | |
| 20 | Catecholamines in the rat brain during hypoglycemic convulsions and coma. | 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) and Peripheral Neuropathies and Disorders (14 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Stroke.
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.