Toshiyuki Mera

706 citations
21 papers · 593 indexed · h-index 11
Topics
Pancreatic function and diabetes (9 papers)Immune Cell Function and Interaction (6 papers)CAR-T cell therapy research (5 papers)
Partner nations
JapanUnited StatesNorway

In The Last Decade

Toshiyuki Mera

21 papers receiving 587 citations

Peers

Toshiyuki Mera
Comparison fields: 5 of 70
  • Immunology 323
  • Surgery 167
  • Oncology 133
  • Genetics 112
  • Molecular Biology 87
Replace Theo van Berkel with:
Theo van Berkel Netherlands
Joel Jules United States
Feng Ma China
Lynelle K. Jones Australia
Irwin Park United States
Madalina-Viviana Nastase Germany
Stephen Winikoff United States
Vasileios Mourmouras Italy
Seiro Satohisa Japan
Iris Sawitza Germany
Toshiyuki Mera relative to Theo van Berkel Netherlands Theo van Berkel's profile →
Citations per field
00.5×3.3×
Theo van Berkel · 1×
Citations per year

Countries citing papers authored by Toshiyuki Mera

Since Specialization
Citations

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

Fields of papers citing papers by Toshiyuki Mera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiyuki Mera

This figure shows the co-authorship network connecting the top 25 collaborators of Toshiyuki Mera. A scholar is included among the top collaborators of Toshiyuki Mera 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 Toshiyuki Mera. Toshiyuki Mera 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 14
2 4
3 4
4 21
5 147
6 2
7 3
8
Adoptive Chemoimmunotherapy Using Activated αβ T Cells for Stage IV Colorectal Cancer.
10
9 2
10 6
11 1
12 23
13 5
14 13
15 138
16 44
17 1
18 10
19 124
20 19

About Toshiyuki Mera

Toshiyuki Mera is a scholar working on Oncology, Immunology and Internal Medicine, having authored 21 papers that have together received 593 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Immune Cell Function and Interaction (6 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Immunology (323 citations), Clinical Biochemistry (39 citations) and Oncology (133 citations). Toshiyuki Mera has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Denise L. Faustman, Yoshiaki Okubo, Limei Wang, Yohichi Yasunami, Takeshi Itoh, N. Matsuoka, Daibo Kojima, Éva Scheuring Vanamee, Rosemary Foster and Heather Torrey. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Scientific Reports.

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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