Gustavo Fenalti

5.4k citations
22 papers · 3.9k indexed · 2 hit papers · h-index 15

Gustavo Fenalti

22 papers receiving 3.8k citations

Hit Papers

Structure of the CCR5 Chemokine Receptor–HIV Entry Inhibi...55220102026201520204008001.2k

Peers

Gustavo Fenalti
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
Replace Beili Wu with:
Beili Wu China
Elaine Rands United States
Rainer Schneider Austria
Thomas M. Frimurer Denmark
Ronald E. Diehl United States
Dieter Langosch Germany
Ulrike Zabel Germany
Julia H. White United Kingdom
Jean‐Luc Galzi France
Henry F. Vischer Netherlands
Gustavo Fenalti relative to Beili Wu China Beili Wu's profile →
Citations per field
00.5×1.5×
Beili Wu · 1×
Citations per year

Countries citing papers authored by Gustavo Fenalti

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Gustavo Fenalti Line = papers co-authored together Gustavo Fenalti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202135
3 20218
4 201511
5 2015313
6 2014396
7 2014379
8
Structure of the CCR5 Chemokine Receptor–HIV Entry Inhibitor Maraviroc Complexbreakdown →
2013552
9 201313
10
Structures of the CXCR4 Chemokine GPCR with Small-Molecule and Cyclic Peptide Antagonistsbreakdown →
20101462
11 201048
12 2010298
13 200942
14 200917
15 200817
16 200835
17 2007196
18 200614
19 20053
20 20036

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.

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