Carlos A. Velikovsky
- Small Animals top 0.5%
- Brucella: diagnosis, epidemiology, treatment 10
- Endocrinology top 2%
- Escherichia coli research studies 7
- Immunology top 5%
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 6
- Galectins and Cancer Biology 5
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- Monoclonal and Polyclonal Antibodies Research 12
- Epidemiology top 10%
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- Glycosylation and Glycoproteins Research 6
- Protein purification and stability 3
- Co-authors
- Roy A. MariuzzaCarlos A. FossatiGuillermo H. GiambartolomeiFernando A. GoldbaumJuliana CassataroRaúl A. BowdenSilvia M. EsteinPeter Schuck
- Cited by
- Small AnimalsEndocrinologyImmunology
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United StatesArgentinaMexico
In The Last Decade
Carlos A. Velikovsky
31 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 86
- Small Animals 591
- Endocrinology 251
- Immunology 756
- Radiology, Nuclear Medicine and Imaging 303
- Epidemiology 409
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
The 25 scholars most cited alongside Carlos A. Velikovsky, 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 | 2017 | 163 | |
| 2 | 2013 | 35 | |
| 3 | 2010 | 58 | |
| 4 | 2010 | 17 | |
| 5 | 2009 | 93 | |
| 6 | 2007 | 46 | |
| 7 | 2007 | 66 | |
| 8 | STRUCTURAL BASIS FOR RECOGNITION OF THE T CELL ADAPTOR PROTEIN SLP-76 BY THE SH3 DOMAIN OF PHOSPHOLIPASE CGAMMA1 | 2005 | 8 |
| 9 | 2005 | 17 | |
| 10 | 2004 | 25 | |
| 11 | 2003 | 84 | |
| 12 | 2002 | 71 | |
| 13 | 2002 | 12 | |
| 14 | 2002 | 20 | |
| 15 | 2000 | 52 | |
| 16 | 2000 | 25 | |
| 17 | 2000 | 8 | |
| 18 | 1999 | 37 | |
| 19 | 1998 | 13 | |
| 20 | 1996 | 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), T-cell and B-cell Immunology (8 papers), Escherichia coli research studies (7 papers), Glycosylation and Glycoproteins Research (6 papers), Immune Cell Function and Interaction (6 papers), Galectins and Cancer Biology (5 papers) and Protein purification and stability (3 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.