Gustavo Fenalti
-
- Neuropeptides and Animal Physiology 3
- Virology top 2%
- Molecular Biology top 2%
- Receptor Mechanisms and Signaling 6
- Immunology top 5%
- Immune Cell Function and Interaction 5
-
- Monoclonal and Polyclonal Antibodies Research 5
-
- Diabetes and associated disorders 7
-
- Chemokine receptors and signaling 3
-
- Tryptophan and brain disorders 3
-
- GABA and Rice Research 3
- Co-authors
- Vadim CherezovRaymond C. StevensVsevolod KatritchRuben AbagyanBeili WuTracy M. HandelBryan L. RothDamon J. Hamel
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Gustavo Fenalti
22 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cellular and Molecular Neuroscience 1.5k
- Virology 253
- Molecular Biology 2.9k
- Immunology 741
- Radiology, Nuclear Medicine and Imaging 753
Countries citing papers authored by Gustavo Fenalti
This map shows the geographic impact of Gustavo Fenalti'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 Gustavo Fenalti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gustavo Fenalti more than expected).
Fields of papers citing papers by Gustavo Fenalti
This network shows the impact of papers produced by Gustavo Fenalti. 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 Gustavo Fenalti. The network helps show where Gustavo Fenalti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gustavo Fenalti, 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 | 2025 | 1 | |
| 2 | 2021 | 35 | |
| 3 | 2021 | 8 | |
| 4 | 2015 | 11 | |
| 5 | 2015 | 313 | |
| 6 | 2014 | 396 | |
| 7 | 2014 | 379 | |
| 8 | Structure of the CCR5 Chemokine Receptor–HIV Entry Inhibitor Maraviroc Complexbreakdown → | 2013 | 552 |
| 9 | 2013 | 13 | |
| 10 | Structures of the CXCR4 Chemokine GPCR with Small-Molecule and Cyclic Peptide Antagonistsbreakdown → | 2010 | 1462 |
| 11 | 2010 | 48 | |
| 12 | 2010 | 298 | |
| 13 | 2009 | 42 | |
| 14 | 2009 | 17 | |
| 15 | 2008 | 17 | |
| 16 | 2008 | 35 | |
| 17 | 2007 | 196 | |
| 18 | 2006 | 14 | |
| 19 | 2005 | 3 | |
| 20 | 2003 | 6 |
About Gustavo Fenalti
Gustavo Fenalti is a scholar working on Biological Psychiatry, Immunology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 3.9k indexed citations. Recurring topics across this work include Diabetes and associated disorders (7 papers), Receptor Mechanisms and Signaling (6 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Chemokine receptors and signaling (3 papers), Tryptophan and brain disorders (3 papers), GABA and Rice Research (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Virology (253 citations) and Molecular Biology (2.9k citations). Gustavo Fenalti has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Vadim Cherezov, Raymond C. Stevens, Vsevolod Katritch, Ruben Abagyan, Beili Wu, Tracy M. Handel, Bryan L. Roth, Damon J. Hamel, Peter G. Wells and F. Christopher Bi. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.
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.