Ivan Rivera‐Arconada

22 papers receiving 416 citations

Peers

Ivan Rivera‐Arconada
Comparison fields: 5 of 60
  • Cellular and Molecular Neuroscience 220
  • Physiology 246
  • Sensory Systems 31
  • Anesthesiology and Pain Medicine 24
  • Molecular Biology 239
Replace Meei‐Ling Tsaur with:
Meei‐Ling Tsaur Taiwan
Wataru Taniguchi Japan
Doris Gruber-Schoffnegger Austria
Matthias Gassner Austria
R. Kline United States
Geehoon Chung South Korea
Jeremy Y. Gedeon United States
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Citations per year

Countries citing papers authored by Ivan Rivera‐Arconada

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Rivera‐Arconada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Rivera‐Arconada. 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 Ivan Rivera‐Arconada. The network helps show where Ivan Rivera‐Arconada may publish in the future.

Co-authors

The 16 scholars most cited alongside Ivan Rivera‐Arconada, 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 Ivan Rivera‐Arconada Line = papers co-authored together Ivan Rivera‐Arconada 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 200887
2 200442
3 200539
4 200433
5 200930
6 200629
7 201429
8 201021
9 201018
10 201616
11 201613
12 201811
13 201311
14 201411
15 20139
16 20156
17 20216
18 20194
19 20224
20 20202

About Ivan Rivera‐Arconada

Ivan Rivera‐Arconada is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Surgery and Cell Biology, having authored 22 papers that have together received 423 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (21 papers), Ion channel regulation and function (12 papers), Neuroscience and Neuropharmacology Research (9 papers), Anesthesia and Pain Management (3 papers), Neuropeptides and Animal Physiology (3 papers), Neurobiology and Insect Physiology Research (2 papers), Myofascial pain diagnosis and treatment (2 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (220 citations), Physiology (246 citations), Sensory Systems (31 citations), Anesthesiology and Pain Medicine (24 citations) and Molecular Biology (239 citations). Ivan Rivera‐Arconada has collaborated with scholars based in Spain, Denmark and United States. Frequent co-authors include J.A. López‐García, Carolina Roza, Philip K. Ahring, Gordon Munro, Jesús Martínez-Gómez, Jim S. Larsen, Elsebet Ø. Nielsen, Nawazish Mirza, Elsa Cisneros and Jorge R. Barrio. Their work appears in journals such as Neuropharmacology, Pflügers Archiv - European Journal of Physiology, Journal of Pharmacology and Experimental Therapeutics, Frontiers in Cellular Neuroscience and European Journal of Pain.

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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