Ivan Rivera‐Arconada

727 total citations
22 papers, 423 citations indexed

About

Ivan Rivera‐Arconada is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ivan Rivera‐Arconada has authored 22 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Physiology, 14 papers in Molecular Biology and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ivan Rivera‐Arconada's work include Pain Mechanisms and Treatments (21 papers), Ion channel regulation and function (12 papers) and Neuroscience and Neuropharmacology Research (9 papers). Ivan Rivera‐Arconada is often cited by papers focused on Pain Mechanisms and Treatments (21 papers), Ion channel regulation and function (12 papers) and Neuroscience and Neuropharmacology Research (9 papers). Ivan Rivera‐Arconada collaborates with scholars based in Spain, Denmark and United States. Ivan Rivera‐Arconada's co-authors include J.A. López‐García, Carolina Roza, Gordon Munro, Philip K. Ahring, Elsebet Ø. Nielsen, Nawazish Mirza, Jesús Martínez-Gómez, Jim S. Larsen, Elsa Cisneros and Agnieszka Krzyzanowska and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and Neuroscience.

In The Last Decade

Ivan Rivera‐Arconada

22 papers receiving 416 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ivan Rivera‐Arconada Spain 12 246 239 220 38 37 22 423
Meei‐Ling Tsaur Taiwan 12 265 1.1× 221 0.9× 215 1.0× 15 0.4× 57 1.5× 19 431
Tal Hoffmann Germany 11 259 1.1× 193 0.8× 172 0.8× 21 0.6× 21 0.6× 19 483
Shanti M. Amagasu United States 12 103 0.4× 220 0.9× 282 1.3× 32 0.8× 60 1.6× 13 501
R. Kline United States 11 294 1.2× 93 0.4× 193 0.9× 46 1.2× 9 0.2× 14 479
Shiori Murase Japan 10 293 1.2× 89 0.4× 120 0.5× 11 0.3× 18 0.5× 15 474
B. Jarrott Australia 8 389 1.6× 181 0.8× 384 1.7× 50 1.3× 19 0.5× 17 515
Tom Rouwette Netherlands 11 245 1.0× 75 0.3× 120 0.5× 27 0.7× 7 0.2× 11 388
Shinki Yoshida Japan 11 217 0.9× 273 1.1× 233 1.1× 11 0.3× 51 1.4× 26 471
Geehoon Chung South Korea 11 241 1.0× 99 0.4× 163 0.7× 15 0.4× 11 0.3× 30 440
Jacqueline M. Kiefel United States 6 239 1.0× 144 0.6× 210 1.0× 23 0.6× 13 0.4× 6 424

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-authorship network of co-authors of Ivan Rivera‐Arconada

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Rivera‐Arconada. A scholar is included among the top collaborators of Ivan Rivera‐Arconada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivan Rivera‐Arconada. Ivan Rivera‐Arconada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rivera‐Arconada, Ivan, Mark L. Baccei, J.A. López‐García, & Rita Bardoni. (2025). An electrophysiologist’s guide to dorsal horn excitability and pain. Frontiers in Cellular Neuroscience. 19. 1548252–1548252. 1 indexed citations
2.
Rivera‐Arconada, Ivan, et al.. (2024). Noise or signal? Spontaneous activity of dorsal horn neurons: patterns and function in health and disease. Pflügers Archiv - European Journal of Physiology. 476(8). 1171–1186. 1 indexed citations
3.
Rivera‐Arconada, Ivan, et al.. (2022). Synchronous firing of dorsal horn neurons at the origin of dorsal root reflexes in naïve and paw-inflamed mice. Frontiers in Cellular Neuroscience. 16. 1004956–1004956. 4 indexed citations
4.
López‐García, J.A., et al.. (2021). Central sensitization of dorsal root potentials and dorsal root reflexes: An in vitro study in the mouse spinal cord.. European Journal of Pain. 26(2). 356–369. 6 indexed citations
5.
Rivera‐Arconada, Ivan, et al.. (2020). Spinal Actions of the NSAID Diclofenac on Nociceptive Transmission in Comparison to the Kv7 Channel Opener Flupirtine. Neuroscience. 440. 186–195. 2 indexed citations
6.
López‐García, J.A., et al.. (2019). Implication of Kv7 Channels in the Spinal Antinociceptive Actions of Celecoxib. Journal of Pharmacology and Experimental Therapeutics. 370(3). 472–479. 4 indexed citations
7.
Rivera‐Arconada, Ivan, et al.. (2018). Origin and classification of spontaneous discharges in mouse superficial dorsal horn neurons. Scientific Reports. 8(1). 9735–9735. 11 indexed citations
8.
Roza, Carolina, et al.. (2016). Analysis of spontaneous activity of superficial dorsal horn neurons in vitro: neuropathy-induced changes. Pflügers Archiv - European Journal of Physiology. 468(11-12). 2017–2030. 16 indexed citations
9.
López‐García, J.A., et al.. (2016). Effects of novel subtype selective M-current activators on spinal reflexes in vitro: Comparison with retigabine. Neuropharmacology. 109. 131–138. 13 indexed citations
10.
Rivera‐Arconada, Ivan, Carolina Roza, & J.A. López‐García. (2015). Spinal Reflexes and Windup In Vitro: Effects of Analgesics and Anesthetics. CNS Neuroscience & Therapeutics. 22(2). 127–134. 6 indexed citations
11.
Rivera‐Arconada, Ivan & J.A. López‐García. (2014). Characterisation of rebound depolarisation in mice deep dorsal horn neurons in vitro. Pflügers Archiv - European Journal of Physiology. 467(9). 1985–1996. 11 indexed citations
12.
13.
Rivera‐Arconada, Ivan, Carolina Roza, & J.A. López‐García. (2013). Characterization of hyperpolarization-activated currents in deep dorsal horn neurons of neonate mouse spinal cord in vitro. Neuropharmacology. 70. 148–155. 11 indexed citations
14.
Rivera‐Arconada, Ivan & J.A. López‐García. (2010). Changes in Membrane Excitability and Potassium Currents in Sensitized Dorsal Horn Neurons of Mice Pups. Journal of Neuroscience. 30(15). 5376–5383. 18 indexed citations
15.
Rivera‐Arconada, Ivan. (2009). Enhancing M currents: a way out for neuropathic pain?. Frontiers in Molecular Neuroscience. 2. 10–10. 30 indexed citations
16.
17.
Rivera‐Arconada, Ivan & J.A. López‐García. (2006). Retigabine-induced population primary afferent hyperpolarisation in vitro. Neuropharmacology. 51(4). 756–763. 29 indexed citations
18.
Rivera‐Arconada, Ivan & J.A. López‐García. (2005). Effects of M‐current modulators on the excitability of immature rat spinal sensory and motor neurones. European Journal of Neuroscience. 22(12). 3091–3098. 39 indexed citations
19.
Rivera‐Arconada, Ivan, Jesús Martínez-Gómez, & J.A. López‐García. (2004). M-current modulators alter rat spinal nociceptive transmission: an electrophysiological study in vitro. Neuropharmacology. 46(4). 598–606. 33 indexed citations
20.
Rivera‐Arconada, Ivan, et al.. (2004). Effects of propofol and sevoflurane on the excitability of rat spinal motoneurones and nociceptive reflexes in vitro. British Journal of Anaesthesia. 93(3). 422–427. 42 indexed citations

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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