Dániel J. Tóth

1.1k citations
21 papers · 803 · h-index 15

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 8
    • Receptor Mechanisms and Signaling 6
    • Protein Kinase Regulation and GTPase Signaling 4
    • Ion channel regulation and function 2
    • Cellular transport and secretion 10

Dániel J. Tóth

19 papers receiving 798 citations

Peers

Dániel J. Tóth
Comparison fields: 5 of 80
  • Sensory Systems 164
  • Physiology 108
  • Cell Biology 319
  • Biochemistry 53
  • Molecular Biology 529
Replace Matthias F. Langhorst with:
Matthias F. Langhorst Germany
Andrew G. Manford United States
Pradeep Narayanaswamy Singapore
Craig C. Correll United States
Christina R. Kahl Germany
Xinchao Yu United States
Seong‐Hwan Rho South Korea
Haoxi Wu United States
Ziqing Wang China
Gil Kanfer Switzerland
Dániel J. Tóth relative to Matthias F. Langhorst Germany Matthias F. Langhorst's profile →
Citations per field
00.5×7.6×
Matthias F. Langhorst · 1×
Citations per year

Countries citing papers authored by Dániel J. Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Dániel J. Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007208
2 201676
3 201974
4 201669
5 201965
6 201545
7 201245
8 201745
9 201933
10 199431
11 201224
12 201220
13 202118
14 201518
15 201915
16 20229
17 20194
18 20243
19 20251
20 20250

About Dániel J. Tóth

Dániel J. Tóth is a scholar working on Molecular Biology, Cell Biology, Surgery, Cellular and Molecular Neuroscience and Epidemiology, having authored 21 papers that have together received 803 indexed citations. Recurring topics across this work include Cellular transport and secretion (10 papers), Lipid Membrane Structure and Behavior (8 papers), Receptor Mechanisms and Signaling (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Pancreatic function and diabetes (3 papers), Neurobiology and Insect Physiology Research (2 papers), Ion channel regulation and function (2 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Sensory Systems (164 citations), Physiology (108 citations), Cell Biology (319 citations), Biochemistry (53 citations) and Molecular Biology (529 citations). Dániel J. Tóth has collaborated with scholars based in Hungary, United States and Czechia. Frequent co-authors include Tamás Balla, Péter Várnai, László Hunyady, Nivedita Sengupta, Balázs István Tóth, Yeun Ju Kim, Gergő Gulyás, Takashi Baba, Mira Sohn and J. Tóth. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, The EMBO Journal, Journal of Cell Science and The Journal of Cell Biology.

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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