Yukiko Tone

3.5k total citations · 1 hit paper
29 papers, 2.8k citations indexed

About

Yukiko Tone is a scholar working on Immunology, Cancer Research and Oncology. According to data from OpenAlex, Yukiko Tone has authored 29 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 11 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Yukiko Tone's work include T-cell and B-cell Immunology (10 papers), NF-κB Signaling Pathways (9 papers) and Immune Cell Function and Interaction (8 papers). Yukiko Tone is often cited by papers focused on T-cell and B-cell Immunology (10 papers), NF-κB Signaling Pathways (9 papers) and Immune Cell Function and Interaction (8 papers). Yukiko Tone collaborates with scholars based in United Kingdom, United States and Japan. Yukiko Tone's co-authors include Masahide Tone, Herman Waldmann, Mark I. Greene, Keiji Furuuchi, Mark L. Tykocinski, Yoshitsugu Kojima, Sara Thompson, Mark Powell, Elizabeth J. Adams and Stephen Cobbold and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Immunity.

In The Last Decade

Yukiko Tone

29 papers receiving 2.8k citations

Hit Papers

Smad3 and NFAT cooperate to induce Foxp3 expression throu... 2007 2026 2013 2019 2007 200 400 600

Peers

Yukiko Tone
Comparison fields: 5 of 110
  • Immunology 1.8k
  • Molecular Biology 706
  • Oncology 440
  • Cancer Research 364
  • Physiology 277
Replace Randall S. Frey with:
Randall S. Frey United States
Florian C. Kurschus Germany
Linda Vermeulen Belgium
Dipayan Rudra South Korea
Alisha R. Elford Canada
Kaoru Hazeki Japan
Daisuke Nagakubo Japan
Kazuko Saeki Japan
Hiroaki Takimoto Japan
Anne F. McGettrick Ireland
Randall S. Frey United States View profile →
Citations per field, relative to Yukiko Tone
Yukiko Tone · 1×
Citations per year, relative to Yukiko Tone
Yukiko Tone · 1×

Countries citing papers authored by Yukiko Tone

Since Specialization
Citations

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

Fields of papers citing papers by Yukiko Tone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukiko Tone

This figure shows the co-authorship network connecting the top 25 collaborators of Yukiko Tone. A scholar is included among the top collaborators of Yukiko Tone 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 Yukiko Tone. Yukiko Tone 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
# Work Indexed citations
1 21
2 6
3 4
4 26
5 50
6 24
7 338
8 309
9
Smad3 and NFAT cooperate to induce Foxp3 expression through its enhancer breakdown →
634
10 18
11 288
12 61
13 218
14 18
15 14
16 70
17 33
18 67
19 6
20 128

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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