Sergio Parra

28 papers receiving 597 citations

Peers

Sergio Parra
Comparison fields: 5 of 70
  • Physiology 285
  • Cellular and Molecular Neuroscience 151
  • Behavioral Neuroscience 24
  • Pulmonary and Respiratory Medicine 169
  • Cardiology and Cardiovascular Medicine 108
Replace F Perretti with:
F Perretti Italy
P. Devillier France
T J Torphy United States
Annet B. Zuidhof Netherlands
Adrian N. Payne United Kingdom
Blanca Bazán‐Perkins Mexico
Marilyn Grous United States
Kihachi Ohshima Japan
K H Muntz United States
Carl P. Nelson United Kingdom
Sergio Parra relative to F Perretti Italy F Perretti's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sergio Parra

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Parra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007109
2 200789
3 200981
4 200761
5 201746
6 200731
7 200728
8 201226
9 201624
10 201618
11 201518
12 200815
13 201211
14 20179
15 20148
16 20127
17 20125
18 20044
19 20013
20 20233

About Sergio Parra

Sergio Parra is a scholar working on Molecular Biology, Physiology, Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 609 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Asthma and respiratory diseases (7 papers), Pharmaceutical studies and practices (5 papers), Neuropeptides and Animal Physiology (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Pediatric Pain Management Techniques (3 papers), Intramuscular injections and effects (3 papers) and Pharmaceutical Economics and Policy (3 papers). The work is most often cited by research in Physiology (285 citations), Cellular and Molecular Neuroscience (151 citations), Behavioral Neuroscience (24 citations), Pulmonary and Respiratory Medicine (169 citations) and Cardiology and Cardiovascular Medicine (108 citations). Sergio Parra has collaborated with scholars based in United States, Colombia and United Kingdom. Frequent co-authors include Richard A. Bond, Brian J. Knoll, Long Nguyễn, Burton F. Dickey, Ozozoma Omoluabi, Michael J. Tuvim, Rui Lin, Nicola A. Hanania, Clive Page and Felix R. Shardonofsky. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, Environmental Toxicology and Pharmacology, American Journal of Respiratory Cell and Molecular Biology, Open Forum Infectious Diseases and Pulmonary Pharmacology & Therapeutics.

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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