David Pascual

1.8k citations
50 papers · 1.4k · h-index 21

Impact in

Papers in

David Pascual

47 papers receiving 1.4k citations

Peers

David Pascual
Comparison fields: 5 of 110
  • Cellular and Molecular Neuroscience 495
  • Physiology 384
  • Pharmacology 246
  • Immunology 268
  • Toxicology 38
Replace Ilari Paakkari with:
Ilari Paakkari Finland
Pei Wang China
Jean‐Claude Marie France
S. H. Ferreira Brazil
Cun‐Gen Ma China
Loretta A. Bober United States
B Delpech France
Yoichiro Isohama Japan
Jassir Witta United States
Giuseppina Cantarella Italy
David Pascual relative to Ilari Paakkari Finland Ilari Paakkari's profile →
Citations per field
00.5×3.5×
Ilari Paakkari · 1×
Citations per year

Countries citing papers authored by David Pascual

Since Specialization
Citations

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

Fields of papers citing papers by David Pascual

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Modulation of the mRNAs encoding substance P and its receptor in rat macrophages by LPS.
1992102
2
Substance P production by P388D1 macrophages: a possible autocrine function for this neuropeptide.
199096
3 200594
4 201287
5 199982
6 199282
7 201275
8 199175
9 200759
10 200458
11 201045
12 200945
13 202038
14 201236
15 200233
16 199329
17 199428
18 198928
19 200726
20 202122

About David Pascual

David Pascual is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Pharmacology and Immunology, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (12 papers), Neuropeptides and Animal Physiology (11 papers), Cannabis and Cannabinoid Research (6 papers), Immune Response and Inflammation (6 papers), Receptor Mechanisms and Signaling (5 papers), Cell Adhesion Molecules Research (4 papers), Antimicrobial Peptides and Activities (4 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (495 citations), Physiology (384 citations), Pharmacology (246 citations), Immunology (268 citations) and Toxicology (38 citations). David Pascual has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Kenneth L. Bost, Carlos Goicoechea, Marı́a Isabel Martı́n, Keri Csencsits‐Smith, Mark A. Jutila, Margarita Suardíaz, Hiroshi Kiyono, J Xu-Amano, J R McGhee and Diego Gómez‐Nicola. Their work appears in journals such as European Journal of Pharmacology, The Journal of Immunology, Immunological Investigations, Hypertension and Journal of Integrative Neuroscience.

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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