Peter K. Thanos

1.2k citations
18 papers · 769 indexed · h-index 12

Impact in

Papers in

Peter K. Thanos

17 papers receiving 754 citations

Peers

Peter K. Thanos
Comparison fields: 5 of 79
  • Cellular and Molecular Neuroscience 379
  • Cognitive Neuroscience 242
  • Biological Psychiatry 28
  • Toxicology 36
  • Endocrine and Autonomic Systems 69
Replace Edward J. Modestino with:
Edward J. Modestino United States
Shawn J. Kile United States
Lisong Ni United States
Reid Robison United States
B. E. Jones United States
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Matej Markota United States
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M.-C. Bourdel France
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Citations per field
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Citations per year

Countries citing papers authored by Peter K. Thanos

Since Specialization
Citations

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

Fields of papers citing papers by Peter K. Thanos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter K. Thanos. 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 Peter K. Thanos. The network helps show where Peter K. Thanos may publish in the future.

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1
Insurance Companies Fighting the Peer Review Empire without any Validity: the Case for Addiction and Pain Modalities in the face of an American Drug Epidemic.
201812
2 201616
3 201542
4 201517
5 20151
6
Are vascular disorders a common cause of erectile dysfunction in non hypogonadal, non neuropsychiatric patients?
20112
7 2010131
8 20086
9 2008142
10 20062
11 2006239
12 20031
13 200331
14 200351
15 19975
16 199622
17 199517
18 199232

About Peter K. Thanos

Peter K. Thanos is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Animal Science and Zoology, Toxicology and Neurology, having authored 18 papers that have together received 769 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (6 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Animal Nutrition and Physiology (3 papers), GABA and Rice Research (3 papers), Attention Deficit Hyperactivity Disorder (2 papers), Sexual function and dysfunction studies (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Facial Nerve Paralysis Treatment and Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (379 citations), Cognitive Neuroscience (242 citations), Biological Psychiatry (28 citations), Toxicology (36 citations) and Endocrine and Autonomic Systems (69 citations). Peter K. Thanos has collaborated with scholars based in United States, Hungary and Greece. Frequent co-authors include Nora D. Volkow, Frank Telang, Gene‐Jack Wang, Joanna S. Fowler, Christopher Wong, Jean Logan, Rita Z. Goldstein, Julia K. Terzis, Henri Begleiter and Bernice Porjesz. Their work appears in journals such as Journal of Reconstructive Microsurgery, Alcoholism Clinical and Experimental Research, International Journal of Impotence Research, Expert Opinion on Biological Therapy and Journal of Neuroscience.

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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