Paul Passier

720 citations
22 papers · 575 · h-index 13

Impact in

Papers in

Paul Passier

22 papers receiving 551 citations

Peers

Paul Passier
Comparison fields: 5 of 81
  • Anesthesiology and Pain Medicine 140
  • Cellular and Molecular Neuroscience 268
  • Developmental Neuroscience 53
  • Insect Science 87
  • Critical Care and Intensive Care Medicine 36
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Chen-Guang Yu United States
A.P. Corrado Brazil
Gwynn M. Daniels United States
Yasmina Ramdani France
Hermann Ammer Germany
Gregory Fischer United States
Yonghong Wu China
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Heesun Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Paul Passier

Since Specialization
Citations

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

Fields of papers citing papers by Paul Passier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199776
2 199573
3 201053
4 201050
5 201146
6 201342
7 199336
8 199535
9 199835
10 199921
11 201819
12 199717
13 202117
14 201711
15 202210
16 201910
17 20198
18 20126
19 19954
20 20083

About Paul Passier

Paul Passier is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Anesthesiology and Pain Medicine and Critical Care and Intensive Care Medicine, having authored 22 papers that have together received 575 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), Neuropeptides and Animal Physiology (4 papers), Pain Mechanisms and Treatments (4 papers), Anesthesia and Sedative Agents (4 papers), Intensive Care Unit Cognitive Disorders (3 papers), Physiological and biochemical adaptations (2 papers), Anesthesia and Neurotoxicity Research (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (140 citations), Cellular and Molecular Neuroscience (268 citations), Developmental Neuroscience (53 citations), Insect Science (87 citations) and Critical Care and Intensive Care Medicine (36 citations). Paul Passier has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include H. G. B. Vullings, Dick R. Nässel, Alex Zwiers, Jean Smeets, Pierre Peeters, D.J. Van der Horst, J. H. B. Diederen, Thijs van Iersel, Michiel W. van den Heuvel and Heinrich Dircksen. Their work appears in journals such as Pain Medicine, General and Comparative Endocrinology, Journal of Pharmacokinetics and Pharmacodynamics, Endocrinology and Journal of Clinical Medicine.

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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