Misha Koshelev
Impact in
- Dermatology top 10%
- Hidradenitis Suppurativa and Treatments
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- Genetic Neurodegenerative Diseases
Papers in
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- Numerical Methods and Algorithms 7
- Polynomial and algebraic computation 3
- Co-authors
- Thomas A. Cooper (1 shared paper)Xander H.T. Wehrens (1 shared paper)Satyam Sarma (1 shared paper)Roger E. Price (1 shared paper)Teresa S. Wright (1 shared paper)Harry Dao (4 shared papers)Marina Vannucci (1 shared paper)Terry Lohrenz (1 shared paper)
- Journals
- Clinics in Dermatology (3 papers)Journal of the American Academy of Dermatology (3 papers)International Journal of Intelligent Systems (2 papers)Human Molecular Genetics (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesUkraineGermany
In The Last Decade
Misha Koshelev
36 papers receiving 301 citations
Peers
Comparison fields: 5 of 90
- Dermatology 39
- Cellular and Molecular Neuroscience 66
- General Decision Sciences 4
- Molecular Biology 113
- Health Informatics 2
Countries citing papers authored by Misha Koshelev
This map shows the geographic impact of Misha Koshelev'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 Misha Koshelev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Misha Koshelev more than expected).
Fields of papers citing papers by Misha Koshelev
This network shows the impact of papers produced by Misha Koshelev. 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 Misha Koshelev. The network helps show where Misha Koshelev may publish in the future.
Co-authors
The 25 scholars most cited alongside Misha Koshelev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 124 | |
| 2 | 2010 | 22 | |
| 3 | 2013 | 21 | |
| 4 | 2014 | 18 | |
| 5 | 2021 | 15 | |
| 6 | 2022 | 15 | |
| 7 | 2021 | 10 | |
| 8 | 1998 | 9 | |
| 9 | 1997 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 1997 | 7 | |
| 12 | 2019 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2011 | 3 | |
| 18 | 1998 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 1998 | 2 |
About Misha Koshelev
Misha Koshelev is a scholar working on Dermatology, Computational Theory and Mathematics, Oncology, Epidemiology and Pathology and Forensic Medicine, having authored 44 papers that have together received 311 indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (7 papers), Cutaneous Melanoma Detection and Management (3 papers), Autoimmune Bullous Skin Diseases (3 papers), Neural Networks and Applications (3 papers), Diversity and Career in Medicine (3 papers), Polynomial and algebraic computation (3 papers), Autoimmune and Inflammatory Disorders (3 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Dermatology (39 citations), Cellular and Molecular Neuroscience (66 citations), General Decision Sciences (4 citations), Molecular Biology (113 citations) and Health Informatics (2 citations). Misha Koshelev has collaborated with scholars based in United States, Ukraine and Germany. Frequent co-authors include Thomas A. Cooper, Xander H.T. Wehrens, Satyam Sarma, Roger E. Price, Teresa S. Wright, Harry Dao, Marina Vannucci, Terry Lohrenz, Luc Longpré and P. Read Montague. Their work appears in journals such as Clinics in Dermatology, Journal of the American Academy of Dermatology, International Journal of Intelligent Systems, Human Molecular Genetics and PLoS Computational Biology.
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.