Pascual Ferrara

17.4k citations
165 papers · 14.7k indexed · 5 hit papers · h-index 53
Topics
Receptor Mechanisms and Signaling (33 papers)Neuropeptides and Animal Physiology (31 papers)Immune Cell Function and Interaction (22 papers)

In The Last Decade

Pascual Ferrara

165 papers receiving 14.3k citations

Hit Papers

Isolation and structure of the endogenous agonist of opio...19922026200320141995199419971992199350010001.5k

Peers

Pascual Ferrara
Comparison fields: 5 of 152
  • Molecular Biology 7.1k
  • Cellular and Molecular Neuroscience 4.8k
  • Immunology 2.7k
  • Pharmacology 2.2k
  • Oncology 2.1k
Replace Daniel Caput with:
Daniel Caput France
Bin Liu United States
Paul A. Insel United States
James R. Woodgett Canada
Michel Chrétien Canada
Marc Montminy United States
Mati Fridkin Israel
Melanie H. Cobb United States
K. George Chandy United States
Stefan Offermanns Germany
Pascual Ferrara relative to Daniel Caput France Daniel Caput's profile →
Citations per field
00.5×1.5×
Daniel Caput · 1×
Citations per year

Countries citing papers authored by Pascual Ferrara

Since Specialization
Citations

This map shows the geographic impact of Pascual Ferrara'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 Pascual Ferrara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascual Ferrara more than expected).

Fields of papers citing papers by Pascual Ferrara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pascual Ferrara. 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 Pascual Ferrara. The network helps show where Pascual Ferrara may publish in the future.

Co-authorship network of co-authors of Pascual Ferrara

This figure shows the co-authorship network connecting the top 25 collaborators of Pascual Ferrara. A scholar is included among the top collaborators of Pascual Ferrara 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 Pascual Ferrara. Pascual Ferrara 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 14
2 238
3 56
4 274
5 17
6 21
7 10
8 90
9 6
10 187
11 22
12 264
13 69
14 120
15 81
16 90
17 83
18 58
19 94
20 18

About Pascual Ferrara

Pascual Ferrara is a scholar working on Cellular and Molecular Neuroscience, Immunology and Molecular Biology, having authored 165 papers that have together received 14.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (33 papers), Neuropeptides and Animal Physiology (31 papers) and Immune Cell Function and Interaction (22 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.8k citations), Immunology (2.7k citations) and Pharmacology (2.2k citations). Pascual Ferrara has collaborated with scholars based in France, United States and Argentina. Frequent co-authors include Daniel Caput, Mourad Kaghad, Natalio Vita, Jean Claude Guillemot, Joël Capdevielle, David Shire, Gérard Le Fur, Jorge Rosenfeld, A Minty and Pascale Chalon. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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