Misha Koshelev

459 total citations
41 papers, 277 citations indexed

About

Misha Koshelev is a scholar working on Dermatology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Misha Koshelev has authored 41 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Dermatology, 8 papers in Computational Theory and Mathematics and 7 papers in Oncology. Recurrent topics in Misha Koshelev's work include Numerical Methods and Algorithms (7 papers), Autoimmune Bullous Skin Diseases (3 papers) and Diversity and Career in Medicine (3 papers). Misha Koshelev is often cited by papers focused on Numerical Methods and Algorithms (7 papers), Autoimmune Bullous Skin Diseases (3 papers) and Diversity and Career in Medicine (3 papers). Misha Koshelev collaborates with scholars based in United States, Ukraine and Estonia. Misha Koshelev's co-authors include Xander H.T. Wehrens, Satyam Sarma, Thomas A. Cooper, Roger E. Price, Teresa S. Wright, Rohit Gupta, Harry Dao, Anisha B. Patel, Kevin P. Lee and P. Read Montague and has published in prestigious journals such as Human Molecular Genetics, Journal of the American Academy of Dermatology and Journal of General Internal Medicine.

In The Last Decade

Misha Koshelev

34 papers receiving 269 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Misha Koshelev United States 8 117 65 41 34 29 41 277
Andrea Termine Italy 11 149 1.3× 39 0.6× 20 0.5× 28 0.8× 15 0.5× 35 546
Hyekyung Lee South Korea 8 62 0.5× 17 0.3× 13 0.3× 52 1.5× 16 0.6× 41 340
Jenny Hong United States 7 98 0.8× 26 0.4× 30 0.7× 15 0.4× 3 0.1× 13 276
Kao-Jung Chang Taiwan 11 144 1.2× 15 0.2× 6 0.1× 17 0.5× 12 0.4× 23 486
Kevin Thai United States 9 185 1.6× 35 0.5× 4 0.1× 19 0.6× 64 2.2× 18 449
John S. Pollack United States 21 170 1.5× 41 0.6× 7 0.2× 38 1.1× 7 0.2× 36 1.3k
Rajeev S. Ramchandran United States 11 50 0.4× 19 0.3× 7 0.2× 40 1.2× 7 0.2× 39 400
Matthew K. Stein United States 13 128 1.1× 45 0.7× 6 0.1× 89 2.6× 7 0.2× 23 516
Milton Pividori United States 11 306 2.6× 6 0.1× 13 0.3× 31 0.9× 14 0.5× 22 644
Yue You China 10 146 1.2× 16 0.2× 39 1.0× 8 0.2× 2 0.1× 16 313

Countries citing papers authored by Misha Koshelev

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Misha Koshelev

This figure shows the co-authorship network connecting the top 25 collaborators of Misha Koshelev. A scholar is included among the top collaborators of Misha Koshelev 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 Misha Koshelev. Misha Koshelev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Koshelev, Misha, et al.. (2025). Antidepressant usage and its postoperative outcomes on the surgical management of basal cell carcinomas: A propensity-matched cohort analysis. Journal of the American Academy of Dermatology. 93(4). 993–999.
2.
Lee, Kevin P., Misha Koshelev, & Omar Pacha. (2022). The effect of biologic therapy for immune-mediated inflammatory diseases on clinical outcomes of COVID-19 in the greater Houston area: A retrospective chart review. Journal of the American Academy of Dermatology. 87(3). 658–660. 2 indexed citations
3.
Koshelev, Misha, et al.. (2022). Skin Cancer Education Interventions for Primary Care Providers: A Scoping Review. Journal of General Internal Medicine. 37(9). 2267–2279. 13 indexed citations
4.
Koshelev, Misha, et al.. (2022). A Case of Perifollicular Macular Amyloidosis. Cureus. 14(9). e29010–e29010.
5.
Koshelev, Misha, et al.. (2022). Online dermatology curriculum experiences among US dermatology residents and faculty. Clinics in Dermatology. 40(6). 788–791. 1 indexed citations
6.
Gupta, Rohit, et al.. (2021). Assessing dermatology resident confidence in caring for patients with skin of color. Clinics in Dermatology. 39(5). 873–878. 14 indexed citations
7.
Gupta, Rohit, et al.. (2021). Evaluating skin of color education in dermatology residency programs: data from a national survey. Clinics in Dermatology. 40(2). 228–233. 9 indexed citations
8.
Koshelev, Misha, et al.. (2021). Granular cell tumor: importance of histopathology in determining malignant potential. Dermatology Online Journal. 27(5). 1 indexed citations
9.
Ramachandran, Vignesh, Taylor P. Kohn, Nora M. Haney, et al.. (2020). The association of broadband internet access with dermatology practitioners: An ecologic study. Journal of the American Academy of Dermatology. 83(6). 1767–1770. 3 indexed citations
10.
Narala, Saisindhu, et al.. (2020). HIV patient with painless bilateral external ear nodules. JAAD Case Reports. 6(3). 222–224. 1 indexed citations
11.
Tschen, Jaime A., et al.. (2020). Acrokeratoelastoidosis: is there an association between asthma and sporadic cases in children?. Dermatology Online Journal. 26(12).
12.
Wang, Jiasen, et al.. (2019). An unusual series of patients with Kaposi sarcoma. JAAD Case Reports. 5(8). 646–649. 4 indexed citations
13.
Lee, Kevin P., Jaime A. Tschen, & Misha Koshelev. (2019). Histiocytoid Sweet syndrome recalcitrant to prednisone causing severe scarring. JAAD Case Reports. 5(11). 937–939. 2 indexed citations
14.
Barry, Meagan A., Misha Koshelev, Grace Sun, et al.. (2014). Cutaneous Leishmaniasis in Cuban Immigrants to Texas who Traveled through the Darién Jungle, Panama. American Journal of Tropical Medicine and Hygiene. 91(2). 345–347. 17 indexed citations
15.
Lavrenko, V. A., et al.. (2014). High-Temperature and Anodic Oxidation of Thin NiSi and NiSi2 Films. Powder Metallurgy and Metal Ceramics. 52(9-10). 572–576. 1 indexed citations
16.
Koshelev, Misha, et al.. (2011). Estimating sample mean under interval uncertainty and constraint on sample variance. International Journal of Approximate Reasoning. 52(8). 1136–1146.
17.
Koshelev, Misha. (2011). Trustees’ and Investors’ Behavior in the First Two Rounds of a Trust Game: Overview and a (Partial) Explanation Based on Cooperative Game Theory. Journal of Advanced Computational Intelligence and Intelligent Informatics. 15(4). 438–448. 3 indexed citations
18.
Koshelev, Misha, Terry Lohrenz, Marina Vannucci, & P. Read Montague. (2010). Biosensor Approach to Psychopathology Classification. PLoS Computational Biology. 6(10). e1000966–e1000966. 17 indexed citations
19.
Koshelev, Misha, Satyam Sarma, Roger E. Price, Xander H.T. Wehrens, & Thomas A. Cooper. (2010). Heart-specific overexpression of CUGBP1 reproduces functional and molecular abnormalities of myotonic dystrophy type 1. Human Molecular Genetics. 19(6). 1066–1075. 119 indexed citations
20.
Koshelev, Misha, Владик Крейнович, & Luc Longpré. (1999). Encryption algorithms made natural. 50–51. 2 indexed citations

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.

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