Tomoharu Yasuda

3.9k citations
51 papers · 2.8k indexed · 1 hit paper · h-index 22
Topics
Immune Cell Function and Interaction (17 papers)T-cell and B-cell Immunology (11 papers)NF-κB Signaling Pathways (10 papers)

In The Last Decade

Tomoharu Yasuda

48 papers receiving 2.7k citations

Hit Papers

Comprehensive analysis of microRNA expression patterns in...20052026201220192005250500750

Peers

Tomoharu Yasuda
Comparison fields: 5 of 105
  • Molecular Biology 1.6k
  • Cancer Research 1.1k
  • Immunology 899
  • Oncology 472
  • Pathology and Forensic Medicine 209
Replace Toby J. Phesse with:
Toby J. Phesse United Kingdom
Martin S. Staege Germany
Richard Gedrich United States
Betty Lamothe United States
Karen Cerosaletti United States
Olle Sangfelt Sweden
Xin‐Yuan Fu United States
Timothy K. Starr United States
Stefano Cairo France
Elizabeth Vincan Australia
Tomoharu Yasuda relative to Toby J. Phesse United Kingdom Toby J. Phesse's profile →
Citations per field
00.5×
Toby J. Phesse · 1×
Citations per year

Countries citing papers authored by Tomoharu Yasuda

Since Specialization
Citations

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

Fields of papers citing papers by Tomoharu Yasuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoharu Yasuda

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoharu Yasuda. A scholar is included among the top collaborators of Tomoharu Yasuda 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 Tomoharu Yasuda. Tomoharu Yasuda 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
#WorkIndexed citations
1 0
2 0
3 0
4 6
5 5
6 1
7 7
8 30
9 18
10 21
11 27
12 16
13 23
14 40
15 91
16 7
17 33
18 136
19
Comprehensive analysis of microRNA expression patterns in hepatocellular carcinoma and non-tumorous tissuesbreakdown →
946
20 77

About Tomoharu Yasuda

Tomoharu Yasuda is a scholar working on Immunology, Cancer Research and Oncology, having authored 51 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (11 papers) and NF-κB Signaling Pathways (10 papers). The work is most often cited by research in Cancer Research (1.1k citations), Immunology (899 citations) and Molecular Biology (1.6k citations). Tomoharu Yasuda has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Takeshi Okanoue, Hidenori Toyoda, Kunitada Shimotohno, Yoshiki Murakami, Kenichi Saigo, T Urashima, Tomohiro Kurosaki, Klaus Rajewsky, Yuji Yamanashi and Hisaaki Shinohara. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of 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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