Мikhail Pashenkov
- Immunology top 2%
- Immune Response and Inflammation 32
- Immunotherapy and Immune Responses 17
- Immune Cell Function and Interaction 11
- Immune cells in cancer 9
- Biological Psychiatry top 5%
- Tryptophan and brain disorders 8
- Neurology top 5%
- Peripheral Neuropathies and Disorders 7
- Neuroinflammation and Neurodegeneration Mechanisms 7
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- Multiple Sclerosis Research Studies 24
- Immunology and Allergy top 10%
- Co-authors
- Hans LinkM. SöderströmPinegin BvNatalia TeleshovaVasilios KostulasYu-Min HuangMathilde C.M. KouwenhovenMikhail Melnikov
- Journals
- Journal of Neuroimmunology (9 papers)International Immunopharmacology (4 papers)Journal of Investigative Dermatology (2 papers)
- Partner nations
- RussiaSwedenUnited States
In The Last Decade
Мikhail Pashenkov
65 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 104
- Immunology 977
- Biological Psychiatry 91
- Neurology 250
- Pathology and Forensic Medicine 362
- Immunology and Allergy 75
Countries citing papers authored by Мikhail Pashenkov
This map shows the geographic impact of Мikhail Pashenkov'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 Мikhail Pashenkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Мikhail Pashenkov more than expected).
Fields of papers citing papers by Мikhail Pashenkov
This network shows the impact of papers produced by Мikhail Pashenkov. 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 Мikhail Pashenkov. The network helps show where Мikhail Pashenkov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Мikhail Pashenkov, 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 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 25 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 43 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 7 | |
| 11 | 2020 | 21 | |
| 12 | 2020 | 1 | |
| 13 | 2017 | 28 | |
| 14 | 2016 | 13 | |
| 15 | 2016 | 2 | |
| 16 | 2015 | 4 | |
| 17 | 2014 | 1 | |
| 18 | 2012 | 33 | |
| 19 | 2010 | 12 | |
| 20 | 2005 | 31 |
About Мikhail Pashenkov
Мikhail Pashenkov is a scholar working on Biological Psychiatry, Immunology, Pathology and Forensic Medicine, Neurology and Microbiology, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Response and Inflammation (32 papers), Multiple Sclerosis Research Studies (24 papers), Immunotherapy and Immune Responses (17 papers), Immune Cell Function and Interaction (11 papers), Immune cells in cancer (9 papers), Tryptophan and brain disorders (8 papers), Peripheral Neuropathies and Disorders (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). The work is most often cited by research in Immunology (977 citations), Biological Psychiatry (91 citations), Neurology (250 citations), Pathology and Forensic Medicine (362 citations) and Immunology and Allergy (75 citations). Мikhail Pashenkov has collaborated with scholars based in Russia, Sweden and United States. Frequent co-authors include Hans Link, M. Söderström, Pinegin Bv, Natalia Teleshova, Vasilios Kostulas, Yu-Min Huang, Mathilde C.M. Kouwenhoven, Mikhail Melnikov, Mats Haglund and Alexey Boyко. Their work appears in journals such as Journal of Neuroimmunology, International Immunopharmacology, Journal of Investigative Dermatology, Scandinavian Journal of Immunology and The Journal of Immunology.
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.