J. Damas

2.3k citations
125 papers · 1.9k · h-index 23

Impact in

  • Genetics top 2%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
    • Hydrogels: synthesis, properties, applications

Papers in

    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 54
    • Inflammatory mediators and NSAID effects 13
    • Apelin-related biomedical research 9

J. Damas

121 papers receiving 1.9k citations

Peers

J. Damas
Comparison fields: 5 of 119
  • Genetics 427
  • Molecular Medicine 108
  • Biochemistry 99
  • Pharmacology 267
  • Aquatic Science 104
Replace Alfeu Zanotto‐Filho with:
Alfeu Zanotto‐Filho Brazil
Kyung Hee Jung South Korea
Elizandra Braganhol Brazil
Ji Hyung Chung South Korea
Jung‐Hyun Kim South Korea
Inmaculada Posadas Spain
Fabien Gosselet France
Daniela Almeida Cabrini Brazil
Abolghasem Esmaeili Iran
Shan Wang China
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Citations per field
00.5×3.5×
Alfeu Zanotto‐Filho · 1×
Citations per year

Countries citing papers authored by J. Damas

Since Specialization
Citations

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

Fields of papers citing papers by J. Damas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Damas, 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 J. Damas Line = papers co-authored together J. Damas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002248
2 2004110
3 199990
4 199481
5 198068
6 200462
7 199960
8 198653
9 200251
10 199045
11 199242
12 199342
13 200541
14 200440
15 199938
16 198535
17 200035
18 200232
19 198930
20 199329

About J. Damas

J. Damas is a scholar working on Genetics, Pharmacology, Molecular Biology, Cellular and Molecular Neuroscience and Immunology, having authored 125 papers that have together received 1.9k indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (54 papers), Inflammatory mediators and NSAID effects (13 papers), Mast cells and histamine (12 papers), Apelin-related biomedical research (9 papers), Neuropeptides and Animal Physiology (9 papers), Receptor Mechanisms and Signaling (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Adenosine and Purinergic Signaling (6 papers). The work is most often cited by research in Genetics (427 citations), Molecular Medicine (108 citations), Biochemistry (99 citations), Pharmacology (267 citations) and Aquatic Science (104 citations). J. Damas has collaborated with scholars based in Belgium, France and Canada. Frequent co-authors include Albert Adam, A. Adam, Giuseppe A. Molinaro, Jean‐Christophe Leroux, Nancy Garbacki, Jean‐François Liégeois, Luc Angenot, Monique Tits, Jacques Bruhwyler and Pierre J. Lefèbvre. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, European Journal of Pharmacology, Journal of Medicinal Chemistry, British Journal of Pharmacology and Journal of Ethnopharmacology.

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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