Csaba Tömböly

1.5k citations
62 papers · 1.2k · h-index 22

Impact in

Papers in

    • Receptor Mechanisms and Signaling 25
    • Chemical Synthesis and Analysis 14
    • Pharmacological Receptor Mechanisms and Effects 8
    • Biochemical and Structural Characterization 6
    • Neuropeptides and Animal Physiology 33

Csaba Tömböly

62 papers receiving 1.2k citations

Peers

Csaba Tömböly
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 736
  • Biological Psychiatry 96
  • Behavioral Neuroscience 63
  • Pharmacology 195
  • Molecular Biology 724
Replace Andrew Alt with:
Andrew Alt United States
Sándor Benyhe Hungary
Misty D. Smith United States
Hyacinth C. Akunne United States
Sandrine Desrayaud Switzerland
Jan Krůšek Czechia
Michael Bös Switzerland
M. Imad Damaj United States
Boyd L. Harrison United States
Jiro Itoh Japan
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Citations per field
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Citations per year

Countries citing papers authored by Csaba Tömböly

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Tömböly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200286
2 199951
3 202150
4 199948
5 202147
6 200345
7 199843
8 200842
9 200041
10 200532
11 200731
12 201529
13 200129
14 201828
15 201726
16 200825
17 201925
18 201624
19 201823
20 201923

About Csaba Tömböly

Csaba Tömböly is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Physiology and Social Psychology, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (33 papers), Receptor Mechanisms and Signaling (25 papers), Chemical Synthesis and Analysis (14 papers), Cannabis and Cannabinoid Research (14 papers), Neuroendocrine regulation and behavior (8 papers), Pharmacological Receptor Mechanisms and Effects (8 papers), Pain Mechanisms and Treatments (7 papers) and Biochemical and Structural Characterization (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (736 citations), Biological Psychiatry (96 citations), Behavioral Neuroscience (63 citations), Pharmacology (195 citations) and Molecular Biology (724 citations). Csaba Tömböly has collaborated with scholars based in Hungary, Italy and Poland. Frequent co-authors include Géza Tóth, Antal Péter, Szabolcs Dvorácskó, Sándor Benyhe, Anna Borsodi, Dirk Tourwé, Gyöngyi Horváth, Ferenc Zádor, György Benedek and Adriano Mollica. Their work appears in journals such as Peptides, Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters and International Journal of Molecular Sciences.

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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