Gustavo Fenalti

5.4k citations
22 papers · 3.9k indexed · 2 hit papers · h-index 15
Topics
Diabetes and associated disorders (7 papers)Receptor Mechanisms and Signaling (6 papers)Immune Cell Function and Interaction (5 papers)

In The Last Decade

Gustavo Fenalti

22 papers receiving 3.8k citations

Hit Papers

Structures of the CXCR4 Chemokine GPCR with Small-Molecul...2010202620152020201020134008001.2k

Peers

Gustavo Fenalti
Comparison fields: 5 of 111
  • Molecular Biology 2.9k
  • Cellular and Molecular Neuroscience 1.5k
  • Oncology 868
  • Radiology, Nuclear Medicine and Imaging 753
  • Immunology 741
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 of co-authors of Gustavo Fenalti

This figure shows the co-authorship network connecting the top 25 collaborators of Gustavo Fenalti. A scholar is included among the top collaborators of Gustavo Fenalti 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 Gustavo Fenalti. Gustavo Fenalti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 35
3 8
4 11
5 313
6 396
7 379
8
Structure of the CCR5 Chemokine Receptor–HIV Entry Inhibitor Maraviroc Complexbreakdown →
552
9 13
10
Structures of the CXCR4 Chemokine GPCR with Small-Molecule and Cyclic Peptide Antagonistsbreakdown →
1462
11 48
12 298
13 42
14 17
15 17
16 35
17 196
18 14
19 3
20 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) and Immune Cell Function and Interaction (5 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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