Fanni Tóth

1.0k citations
23 papers · 649 · h-index 11

Impact in

Papers in

Fanni Tóth

21 papers receiving 638 citations

Peers

Fanni Tóth
Comparison fields: 5 of 108
  • Biological Psychiatry 170
  • Behavioral Neuroscience 91
  • Psychiatry and Mental health 111
  • Cellular and Molecular Neuroscience 99
  • Neurology 37
Replace Renata Suchanek-Raif with:
Renata Suchanek-Raif Poland
Sitong Feng China
Lihong Jiang China
Mitsuhiro Makino Japan
J. Silvestre Spain
Sebastiano Alfio Torrisi Italy
Yong-qin Kuang China
Martina Zvěřová Czechia
Hwa‐Young Lee South Korea
Fanni Tóth relative to Renata Suchanek-Raif Poland Renata Suchanek-Raif's profile →
Citations per field
00.5×4.2×
Renata Suchanek-Raif · 1×
Citations per year

Countries citing papers authored by Fanni Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Fanni Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021173
2 2022119
3 202174
4 202165
5 201960
6 202038
7 200321
8 201816
9 201813
10 201213
11 201213
12 20039
13 20117
14
A novel non-opioid binding site for endomorphin-1.
20167
15 20246
16 20204
17 20153
18 20043
19 20123
20
The treatment of climacteric syndrome with tofizopam (Grandaxin).
19751

About Fanni Tóth

Fanni Tóth is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biological Psychiatry, Behavioral Neuroscience and Physiology, having authored 23 papers that have together received 649 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Tryptophan and brain disorders (5 papers), Receptor Mechanisms and Signaling (4 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Stress Responses and Cortisol (3 papers), Chemical Reactions and Isotopes (2 papers), Chemical Synthesis and Analysis (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (170 citations), Behavioral Neuroscience (91 citations), Psychiatry and Mental health (111 citations), Cellular and Molecular Neuroscience (99 citations) and Neurology (37 citations). Fanni Tóth has collaborated with scholars based in Hungary, United Kingdom and Belgium. Frequent co-authors include László Vécsei, Ágnes Szabó, Masaru Tanaka, Helga Polyák, Yvette Mándi, Federica Sotgia, Michael P. Lisanti, Marco Fiorillo, Eleonóra Spekker and Nóra Török. Their work appears in journals such as Cells, Biomedicines, Regulatory Peptides, Neuropeptides and Aging.

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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