Oné R. Pagán

801 total citations
30 papers, 626 citations indexed

About

Oné R. Pagán is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Oné R. Pagán has authored 30 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 12 papers in Plant Science and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Oné R. Pagán's work include Planarian Biology and Electrostimulation (15 papers), Nicotinic Acetylcholine Receptors Study (14 papers) and Plant and Biological Electrophysiology Studies (11 papers). Oné R. Pagán is often cited by papers focused on Planarian Biology and Electrostimulation (15 papers), Nicotinic Acetylcholine Receptors Study (14 papers) and Plant and Biological Electrophysiology Studies (11 papers). Oné R. Pagán collaborates with scholars based in United States, Puerto Rico and Brazil. Oné R. Pagán's co-authors include Vesna A. Eterović, Kimberly R. Urban, Henning Ulrich, P.A. Ferchmin, Sean Deats, Abimael D. Rodrı́guez, George P. Hess, Hua Shi, Joseph E. Ippolito and John T. Lis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemistry and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Oné R. Pagán

30 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oné R. Pagán United States 16 508 155 98 93 65 30 626
Eva‐Maria S. Collins United States 18 511 1.0× 217 1.4× 95 1.0× 123 1.3× 47 0.7× 49 798
Tibor Kiss Hungary 17 316 0.6× 426 2.7× 256 2.6× 12 0.1× 67 1.0× 59 1.1k
Haruka Yamazaki Japan 15 704 1.4× 156 1.0× 75 0.8× 537 5.8× 14 0.2× 35 1.1k
Anderson G. Oliveira Brazil 12 392 0.8× 125 0.8× 124 1.3× 66 0.7× 52 0.8× 27 532
Richard A. Fluck United States 16 361 0.7× 121 0.8× 127 1.3× 128 1.4× 34 0.5× 41 694
Satoru Higashi Japan 13 549 1.1× 374 2.4× 124 1.3× 27 0.3× 14 0.2× 31 949
Danielle Hagstrom United States 8 273 0.5× 86 0.6× 33 0.3× 66 0.7× 16 0.2× 9 388
Yojiro Muneoka Japan 23 546 1.1× 36 0.2× 837 8.5× 28 0.3× 141 2.2× 53 1.3k
T. Kiss Hungary 16 211 0.4× 265 1.7× 219 2.2× 9 0.1× 48 0.7× 82 772
Luis Alfonso Yáñez-Guerra United Kingdom 13 231 0.5× 34 0.2× 188 1.9× 145 1.6× 46 0.7× 28 535

Countries citing papers authored by Oné R. Pagán

Since Specialization
Citations

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

Fields of papers citing papers by Oné R. Pagán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oné R. Pagán. 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 Oné R. Pagán. The network helps show where Oné R. Pagán may publish in the future.

Co-authorship network of co-authors of Oné R. Pagán

This figure shows the co-authorship network connecting the top 25 collaborators of Oné R. Pagán. A scholar is included among the top collaborators of Oné R. Pagán 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 Oné R. Pagán. Oné R. Pagán 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.
Simpson, Nicholas, et al.. (2024). Cotinine influences the effect of high and low nicotine concentrations on planarian motility differently. Neuroscience Letters. 841. 137955–137955. 1 indexed citations
2.
3.
Pagán, Oné R.. (2019). The brain: a concept in flux. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1774). 20180383–20180383. 22 indexed citations
4.
Pagán, Oné R.. (2018). Strange Survivors: How Organisms Attack and Defend in the Game of Life. 2 indexed citations
5.
Pagán, Oné R.. (2017). Planaria: an animal model that integrates development, regeneration and pharmacology. The International Journal of Developmental Biology. 61(8-9). 519–529. 38 indexed citations
6.
Deats, Sean, et al.. (2016). Cotinine antagonizes the behavioral effects of nicotine exposure in the planarian Girardia tigrina. Neuroscience Letters. 632. 204–208. 9 indexed citations
7.
Pagán, Oné R., Sean Deats, David Baker, et al.. (2013). Planarians require an intact brain to behaviorally react to cocaine, but not to react to nicotine. Neuroscience. 246. 265–270. 25 indexed citations
8.
Pagán, Oné R., et al.. (2012). Planarians in pharmacology: parthenolide is a specific behavioral antagonist of cocaine in the planarian Girardia tigrina. The International Journal of Developmental Biology. 56(1-2-3). 193–196. 23 indexed citations
9.
Schwarz, David, et al.. (2011). Parthenolide Blocks Cocaines Effect on Spontaneous Firing Activity of Dopaminergic Neurons in the Ventral Tegmental Area. Current Neuropharmacology. 9(1). 17–20. 8 indexed citations
10.
Deats, Sean, et al.. (2011). Minimal structural requirements of alkyl γ-lactones capable of antagonizing the cocaine-induced motility decrease in planarians. Pharmacology Biochemistry and Behavior. 100(1). 174–179. 7 indexed citations
11.
Pagán, Oné R., et al.. (2010). Minimal RNA Aptamer Sequences That Can Inhibit or Alleviate Noncompetitive Inhibition of the Muscle-Type Nicotinic Acetylcholine Receptor. The Journal of Membrane Biology. 233(1-3). 1–12. 7 indexed citations
12.
Ferchmin, P.A., et al.. (2009). Actions of octocoral and tobacco cembranoids on nicotinic receptors. Toxicon. 54(8). 1174–1182. 38 indexed citations
13.
Pagán, Oné R., et al.. (2009). A cembranoid from tobacco prevents the expression of nicotine-induced withdrawal behavior in planarian worms. European Journal of Pharmacology. 615(1-3). 118–124. 40 indexed citations
14.
Pagán, Oné R., et al.. (2009). The flatworm planaria as a toxicology and behavioral pharmacology animal model in undergraduate research experiences.. PubMed. 7(2). A48–52. 19 indexed citations
15.
Pagán, Oné R., et al.. (2008). Parthenolide prevents the expression of cocaine-induced withdrawal behavior in planarians. European Journal of Pharmacology. 583(1). 170–172. 24 indexed citations
16.
Pagán, Oné R., et al.. (2008). Reversal of cocaine-induced planarian behavior by parthenolide and related sesquiterpene lactones. Pharmacology Biochemistry and Behavior. 89(2). 160–170. 47 indexed citations
17.
Pagán, Oné R., et al.. (2006). Toxicity and behavioral effects of dimethylsulfoxide in planaria. Neuroscience Letters. 407(3). 274–278. 62 indexed citations
18.
Ferchmin, P.A., Ronald J. Lukas, John Denis Fryer, et al.. (2001). Tobacco cembranoids block behavioral sensitization to nicotine and inhibit neuronal acetylcholine receptor function. Journal of Neuroscience Research. 64(1). 18–25. 33 indexed citations
19.
Hann, Raymond M., Oné R. Pagán, Abimael D. Rodrı́guez, et al.. (1998). Characterization of Cembranoid Interaction with the Nicotinic Acetylcholine Receptor. Journal of Pharmacology and Experimental Therapeutics. 287(1). 253–260. 21 indexed citations
20.
Pagán, Oné R., et al.. (1994). The .alpha.-Conotoxins GI and MI Distinguish between the Nicotinic Acetylcholine Receptor Agonist Sites while SI Does Not. Biochemistry. 33(47). 14058–14063. 47 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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