Fanni Tóth

1.0k total citations
23 papers, 649 citations indexed

About

Fanni Tóth is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biological Psychiatry. According to data from OpenAlex, Fanni Tóth has authored 23 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Biological Psychiatry. Recurrent topics in Fanni Tóth's work include Neuropeptides and Animal Physiology (7 papers), Tryptophan and brain disorders (5 papers) and Receptor Mechanisms and Signaling (4 papers). Fanni Tóth is often cited by papers focused on Neuropeptides and Animal Physiology (7 papers), Tryptophan and brain disorders (5 papers) and Receptor Mechanisms and Signaling (4 papers). Fanni Tóth collaborates with scholars based in Hungary, Belgium and United Kingdom. Fanni Tóth's co-authors include László Vécsei, Masaru Tanaka, Ágnes Szabó, Helga Polyák, Yvette Mándi, Michael P. Lisanti, Federica Sotgia, Marco Fiorillo, Eleonóra Spekker and Nóra Török and has published in prestigious journals such as International Journal of Molecular Sciences, European Journal of Neuroscience and Cells.

In The Last Decade

Fanni Tóth

21 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fanni Tóth Hungary 11 207 170 115 111 99 23 649
Renata Suchanek-Raif Poland 15 201 1.0× 165 1.0× 118 1.0× 65 0.6× 72 0.7× 29 666
Yong-qin Kuang China 17 293 1.4× 100 0.6× 81 0.7× 130 1.2× 220 2.2× 37 1.1k
Sulail Fatima Iran 11 167 0.8× 102 0.6× 112 1.0× 61 0.5× 171 1.7× 16 585
Sebastiano Alfio Torrisi Italy 19 265 1.3× 202 1.2× 205 1.8× 69 0.6× 185 1.9× 32 863
Shahin Aeinehband Sweden 15 287 1.4× 254 1.5× 120 1.0× 85 0.8× 92 0.9× 21 900
Sitong Feng China 15 265 1.3× 133 0.8× 95 0.8× 40 0.4× 87 0.9× 39 712
Jan Plátenı́k Czechia 14 323 1.6× 110 0.6× 124 1.1× 48 0.4× 216 2.2× 27 890
Ayanabha Chakraborti India 17 203 1.0× 74 0.4× 178 1.5× 53 0.5× 128 1.3× 27 895
María Pascual‐Lucas Spain 8 363 1.8× 178 1.0× 225 2.0× 57 0.5× 156 1.6× 14 972

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-authorship network of co-authors of Fanni Tóth

This figure shows the co-authorship network connecting the top 25 collaborators of Fanni Tóth. A scholar is included among the top collaborators of Fanni Tóth 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 Fanni Tóth. Fanni Tóth 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.
2.
Tanaka, Masaru, Ágnes Szabó, Eleonóra Spekker, et al.. (2022). Mitochondrial Impairment: A Common Motif in Neuropsychiatric Presentation? The Link to the Tryptophan–Kynurenine Metabolic System. Cells. 11(16). 2607–2607. 119 indexed citations
3.
Tanaka, Masaru, Fanni Tóth, Helga Polyák, et al.. (2021). Immune Influencers in Action: Metabolites and Enzymes of the Tryptophan-Kynurenine Metabolic Pathway. Biomedicines. 9(7). 734–734. 173 indexed citations
4.
Tóth, Fanni, et al.. (2021). Natural Molecules and Neuroprotection: Kynurenic Acid, Pantethine and α-Lipoic Acid. International Journal of Molecular Sciences. 22(1). 403–403. 74 indexed citations
5.
Tanaka, Masaru, Nóra Török, Fanni Tóth, Ágnes Szabó, & László Vécsei. (2021). Co-Players in Chronic Pain: Neuroinflammation and the Tryptophan-Kynurenine Metabolic Pathway. Biomedicines. 9(8). 897–897. 65 indexed citations
6.
Jurecska, Laura, Fanni Tóth, Viktória Bódai, et al.. (2020). Preparation and characterization of site-specific dechlorinating microbial inocula capable of complete dechlorination enriched in anaerobic microcosms amended with clay mineral. World Journal of Microbiology and Biotechnology. 36(2). 29–29. 4 indexed citations
7.
Fiorillo, Marco, Fanni Tóth, Federica Sotgia, & Michael P. Lisanti. (2019). Doxycycline, Azithromycin and Vitamin C (DAV): A potent combination therapy for targeting mitochondria and eradicating cancer stem cells (CSCs). Aging. 11(8). 2202–2216. 60 indexed citations
8.
Petővári, Gábor, Ildikó Krencz, Titanilla Dankó, et al.. (2018). Targeting cellular metabolism using rapamycin and/or doxycycline enhances anti-tumour effects in human glioma cells. Cancer Cell International. 18(1). 211–211. 16 indexed citations
9.
Dillenberger, Donna N., et al.. (2018). An optimized blockchain solution for the IBM z14. IBM Journal of Research and Development. 62(2/3). 4:1–4:11. 13 indexed citations
10.
Tóth, Fanni, et al.. (2016). CArdioVAsCUlAr sCreeninG proGrAm in Children in BUdApest. Semmelweis University Repository (Semmelweis University). 20(4). 136–139.
11.
Lengyel, Imre, Fanni Tóth, Dauren Biyashev, et al.. (2016). A novel non-opioid binding site for endomorphin-1.. PubMed. 67(4). 605–616. 7 indexed citations
12.
Tóth, Fanni, Jayapal Reddy Mallareddy, Dirk Tourwé, et al.. (2015). Synthesis and binding characteristics of [3H]neuromedin N, a NTS2 receptor ligand. Neuropeptides. 57. 15–20. 3 indexed citations
13.
Wollemann, M, Fanni Tóth, & Sándor Benyhe. (2012). Protein kinase C inhibitor BIM suspended TRPV1 effect on mu-opioid receptor. Brain Research Bulletin. 90. 114–117. 3 indexed citations
14.
Tóth, Fanni, Géza Tóth, Sándor Benyhe, Catherine Rougeot, & M Wollemann. (2012). Opiorphin highly improves the specific binding and affinity of MERF and MEGY to rat brain opioid receptors. Regulatory Peptides. 178(1-3). 71–75. 13 indexed citations
15.
Tóth, Géza, Jayapal Reddy Mallareddy, Fanni Tóth, Andrzej W. Lipkowski, & Dirk Tourwé. (2012). Radiotracers, tritium labelling of neuropeptides. ARKIVOC. 2012(5). 163–174. 13 indexed citations
16.
Martins, José C., P. Hendrickx, Attila Keresztes, et al.. (2011). Asymmetric Synthesis and Conformational Analysis by NMR Spectroscopy and MD of Aba‐ and α‐MeAba‐Containing Dermorphin Analogues. ChemMedChem. 6(11). 2035–2047. 7 indexed citations
17.
Tóth, Fanni, Gyöngyi Horváth, Margit Szikszay, et al.. (2004). Pharmacological and functional biochemical properties of d-Ala2-d-Nle5-enkephalin-Arg-Phe. Regulatory Peptides. 122(2). 139–146. 3 indexed citations
18.
Spetea, Mariana, Fanni Tóth, Johannes Schütz, et al.. (2003). Binding characteristics of [3H]14‐methoxymetopon, a high affinity µ‐opioid receptor agonist. European Journal of Neuroscience. 18(2). 290–295. 21 indexed citations
19.
Tóth, Fanni, Judit Farkas, Géza Tóth, et al.. (2003). Synthesis and binding characteristics of a novel enkephalin analogue, [3H]Tyr-d-Ala-Gly-Phe-d-Nle-Arg-Phe. Peptides. 24(9). 1433–1440. 9 indexed citations
20.
Kiss, Csongor, et al.. (1975). The treatment of climacteric syndrome with tofizopam (Grandaxin).. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 23(4). 164–9. 1 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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