Vladimir Ratushny
- Dermatology top 2%
- Oncology top 10%
- HER2/EGFR in Cancer Research 2
- Cutaneous Melanoma Detection and Management 2
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- Nonmelanoma Skin Cancer Studies 2
- Data-Driven Disease Surveillance 2
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- Bioinformatics and Genomic Networks 2
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- COVID-19 epidemiological studies 2
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- Microtubule and mitosis dynamics 2
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- Lung Cancer Treatments and Mutations 2
- Co-authors
- Michael D. GoberTodd W. RidkyRyan HickJohn T. SeykoraErica A. GolemisIgor AstsaturovLouis M. WeinerJoshua S. Silverman
- Cited by
- DermatologyOncologyCancer Research
- Partner nations
- United States
In The Last Decade
Vladimir Ratushny
17 papers receiving 796 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Dermatology 186
- Oncology 296
- Cancer Research 109
- Epidemiology 247
- Molecular Biology 352
Countries citing papers authored by Vladimir Ratushny
This map shows the geographic impact of Vladimir Ratushny'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 Vladimir Ratushny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Ratushny more than expected).
Fields of papers citing papers by Vladimir Ratushny
This network shows the impact of papers produced by Vladimir Ratushny. 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 Vladimir Ratushny. The network helps show where Vladimir Ratushny may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vladimir Ratushny, 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 | 2023 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 3 | |
| 4 | 2017 | 33 | |
| 5 | Presumed serum sickness following thymoglobulin treatment of acute cellular rejection of a cardiac allograft. | 2017 | 0 |
| 6 | 2016 | 1 | |
| 7 | 2016 | 1 | |
| 8 | 2016 | 1 | |
| 9 | 2015 | 2 | |
| 10 | From keratinocyte to cancer: the pathogenesis and modeling of cutaneous squamous cell carcinomabreakdown → | 2012 | 409 |
| 11 | 2011 | 27 | |
| 12 | 2010 | 106 | |
| 13 | 2009 | 60 | |
| 14 | 2009 | 84 | |
| 15 | 2008 | 16 | |
| 16 | 2007 | 23 | |
| 17 | 2006 | 26 | |
| 18 | 2005 | 12 |
About Vladimir Ratushny
Vladimir Ratushny is a scholar working on Modeling and Simulation, Dermatology and Virology, having authored 18 papers that have together received 808 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (2 papers), Microtubule and mitosis dynamics (2 papers), Bioinformatics and Genomic Networks (2 papers), HER2/EGFR in Cancer Research (2 papers), Nonmelanoma Skin Cancer Studies (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Dermatology (186 citations), Oncology (296 citations) and Cancer Research (109 citations). Vladimir Ratushny has collaborated with scholars based in United States. Frequent co-authors include Michael D. Gober, Todd W. Ridky, Ryan Hick, John T. Seykora, Erica A. Golemis, Igor Astsaturov, Louis M. Weiner, Joshua S. Silverman, Elizabeth Hopper-Borge and Barbara Burtness. Their work appears in journals such as JAMA, Journal of Clinical Investigation and Oncogene.
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.