Rostic Gorbatov
- Immunology top 1%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Epidemiology top 10%
- Co-authors
- Matthias NahrendorfRalph WeisslederYoshiko IwamotoFilip K. ŚwirskiMikäel J. PittetJose‐Luiz FigueiredoClinton S. RobbinsGeorg F. Weber
- Topics
- Cardiac Fibrosis and Remodeling (4 papers)Immune cells in cancer (4 papers)Immune Cell Function and Interaction (3 papers)
- Partner nations
- United StatesSouth KoreaNetherlands
In The Last Decade
Rostic Gorbatov
17 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Immunology 1.7k
- Molecular Biology 1.2k
- Cardiology and Cardiovascular Medicine 617
- Surgery 476
- Epidemiology 466
Countries citing papers authored by Rostic Gorbatov
This map shows the geographic impact of Rostic Gorbatov'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 Rostic Gorbatov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rostic Gorbatov more than expected).
Fields of papers citing papers by Rostic Gorbatov
This network shows the impact of papers produced by Rostic Gorbatov. 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 Rostic Gorbatov. The network helps show where Rostic Gorbatov may publish in the future.
Co-authorship network of co-authors of Rostic Gorbatov
This figure shows the co-authorship network connecting the top 25 collaborators of Rostic Gorbatov. A scholar is included among the top collaborators of Rostic Gorbatov 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 Rostic Gorbatov. Rostic Gorbatov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | Local proliferation dominates lesional macrophage accumulation in atherosclerosisbreakdown → | 779 |
| 3 | Modified mRNA directs the fate of heart progenitor cells and induces vascular regeneration after myocardial infarctionbreakdown → | 501 |
| 4 | 148 | |
| 5 | 14 | |
| 6 | Origins of tumor-associated macrophages and neutrophilsbreakdown → | 521 |
| 7 | 314 | |
| 8 | 6 | |
| 9 | 48 | |
| 10 | 108 | |
| 11 | 255 | |
| 12 | 84 | |
| 13 | 26 | |
| 14 | 27 | |
| 15 | 368 | |
| 16 | 15 | |
| 17 | 184 | |
| 18 | Young Students Approach Integer Triangles | 1 |
About Rostic Gorbatov
Rostic Gorbatov is a scholar working on Theoretical Computer Science, Biophysics and Immunology, having authored 18 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (4 papers), Immune cells in cancer (4 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (1.7k citations), Cardiology and Cardiovascular Medicine (617 citations) and Immunology and Allergy (137 citations). Rostic Gorbatov has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Matthias Nahrendorf, Ralph Weissleder, Yoshiko Iwamoto, Filip K. Świrski, Mikäel J. Pittet, Jose‐Luiz Figueiredo, Clinton S. Robbins, Georg F. Weber, Aleksey Chudnovskiy and Takuya Ueno. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Circulation.
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.