Olga Pol

89 papers receiving 2.2k citations

Peers

Olga Pol
Comparison fields: 5 of 105
  • Behavioral Neuroscience 163
  • Physiology 970
  • Cellular and Molecular Neuroscience 666
  • Endocrine and Autonomic Systems 152
  • Anesthesiology and Pain Medicine 114
Replace Serena Boccella with:
Serena Boccella Italy
Shiroh Kishioka Japan
Kenneth E. McCarson United States
Sachia G. Khasar United States
Grewo Lim United States
Daniel N. Cortright United States
Andrew J. Mannes United States
Mitsuaki Yamazaki Japan
Lisa Carole Loram United States
Juan F. Herrero Spain
Olga Pol relative to Serena Boccella Italy Serena Boccella's profile →
Citations per field
00.5×1.5×2×2.4×
Serena Boccella · 1×
Citations per year

Countries citing papers authored by Olga Pol

Since Specialization
Citations

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

Fields of papers citing papers by Olga Pol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991101
2 201883
3 201270
4 201369
5 200164
6 200464
7 201059
8 201753
9 200352
10 201150
11 199848
12 199546
13 201042
14 200541
15 199439
16 200839
17 200038
18 201438
19 201936
20 201635

About Olga Pol

Olga Pol is a scholar working on Physiology, Cellular and Molecular Neuroscience, Pharmacology, Molecular Biology and Psychiatry and Mental health, having authored 92 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (46 papers), Neuropeptides and Animal Physiology (25 papers), Heme Oxygenase-1 and Carbon Monoxide (22 papers), Pharmacological Receptor Mechanisms and Effects (17 papers), Cannabis and Cannabinoid Research (16 papers), Cancer, Stress, Anesthesia, and Immune Response (10 papers), Hydrogen's biological and therapeutic effects (8 papers) and Biochemical effects in animals (8 papers). The work is most often cited by research in Behavioral Neuroscience (163 citations), Physiology (970 citations), Cellular and Molecular Neuroscience (666 citations), Endocrine and Autonomic Systems (152 citations) and Anesthesiology and Pain Medicine (114 citations). Olga Pol has collaborated with scholars based in Spain, Italy and Brazil. Frequent co-authors include Margarita M. Puig, Sergi Leánez, Arnau Hervera, Roger Negrete, Antonio Armario, Jesús María Martín-Campos, Xue Bai, Roberto Motterlini, Sílvia Castany and Montserrat Gil. Their work appears in journals such as Antioxidants, Journal of Pharmacology and Experimental Therapeutics, European Journal of Pharmacology, PLoS ONE and Pharmacology Biochemistry and Behavior.

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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