Carlos A. Velikovsky
- Immunology top 5%
- Molecular Biology
- Small Animals top 0.5%
- Epidemiology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Roy A. MariuzzaCarlos A. FossatiGuillermo H. GiambartolomeiFernando A. GoldbaumJuliana CassataroRaúl A. BowdenSilvia M. EsteinPeter Schuck
- Topics
- Monoclonal and Polyclonal Antibodies Research (12 papers)Brucella: diagnosis, epidemiology, treatment (10 papers)T-cell and B-cell Immunology (8 papers)
- Cited by
- Small AnimalsEndocrinologyImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe EMBO Journal
- Partner nations
- United StatesArgentinaMexico
In The Last Decade
Carlos A. Velikovsky
31 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 86
- Immunology 756
- Molecular Biology 639
- Small Animals 591
- Epidemiology 409
- Radiology, Nuclear Medicine and Imaging 303
Countries citing papers authored by Carlos A. Velikovsky
This map shows the geographic impact of Carlos A. Velikovsky'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 Carlos A. Velikovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos A. Velikovsky more than expected).
Fields of papers citing papers by Carlos A. Velikovsky
This network shows the impact of papers produced by Carlos A. Velikovsky. 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 Carlos A. Velikovsky. The network helps show where Carlos A. Velikovsky may publish in the future.
Co-authorship network of co-authors of Carlos A. Velikovsky
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos A. Velikovsky. A scholar is included among the top collaborators of Carlos A. Velikovsky 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 Carlos A. Velikovsky. Carlos A. Velikovsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 163 | |
| 2 | 35 | |
| 3 | 58 | |
| 4 | 17 | |
| 5 | 93 | |
| 6 | 46 | |
| 7 | 66 | |
| 8 | STRUCTURAL BASIS FOR RECOGNITION OF THE T CELL ADAPTOR PROTEIN SLP-76 BY THE SH3 DOMAIN OF PHOSPHOLIPASE CGAMMA1 | 8 |
| 9 | 17 | |
| 10 | 25 | |
| 11 | 84 | |
| 12 | 71 | |
| 13 | 12 | |
| 14 | 20 | |
| 15 | 52 | |
| 16 | 25 | |
| 17 | 8 | |
| 18 | 37 | |
| 19 | 13 | |
| 20 | 55 |
About Carlos A. Velikovsky
Carlos A. Velikovsky is a scholar working on Small Animals, Endocrinology and Immunology, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Brucella: diagnosis, epidemiology, treatment (10 papers) and T-cell and B-cell Immunology (8 papers). The work is most often cited by research in Small Animals (591 citations), Endocrinology (251 citations) and Immunology (756 citations). Carlos A. Velikovsky has collaborated with scholars based in United States, Argentina and Mexico. Frequent co-authors include Roy A. Mariuzza, Carlos A. Fossati, Guillermo H. Giambartolomei, Fernando A. Goldbaum, Juliana Cassataro, Raúl A. Bowden, Silvia M. Estein, Peter Schuck, Laura Bruno and Zeev Pancer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.
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.