Toshihiro Soma

5.6k citations
82 papers · 4.2k indexed · 2 hit papers · h-index 29
Topics
Hematopoietic Stem Cell Transplantation (24 papers)Mesenchymal stem cell research (18 papers)Angiogenesis and VEGF in Cancer (15 papers)
Partner nations
JapanUnited StatesNorway

In The Last Decade

Toshihiro Soma

82 papers receiving 4.1k citations

Hit Papers

Administration of CD34+ cells after stroke enhances neuro...200420262011201820042004100200300400500

Peers

Toshihiro Soma
Comparison fields: 5 of 94
  • Molecular Biology 2.0k
  • Genetics 1.2k
  • Hematology 990
  • Immunology 657
  • Developmental Neuroscience 632
Replace Federica Benvenuto with:
Federica Benvenuto Italy
Debora Giunti Italy
Cong Yu China
Gina C. Schatteman United States
Narihito Nagoshi Japan
Wonil Oh South Korea
Timothy R. Brazelton United States
Maria Carolina Oliveira Brazil
Bryon E. Petersen United States
Lindolfo da Silva Meirelles Brazil
Toshihiro Soma relative to Federica Benvenuto Italy Federica Benvenuto's profile →
Citations per field
00.5×1.5×
Federica Benvenuto · 1×
Citations per year

Countries citing papers authored by Toshihiro Soma

Since Specialization
Citations

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

Fields of papers citing papers by Toshihiro Soma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshihiro Soma

This figure shows the co-authorship network connecting the top 25 collaborators of Toshihiro Soma. A scholar is included among the top collaborators of Toshihiro Soma 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 Toshihiro Soma. Toshihiro Soma 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 84
2 16
3 3
4 28
5 4
6 37
7 1
8 87
9 9
10 20
11 39
12 4
13
Administration of CD34+ cells after stroke enhances neurogenesis via angiogenesisin a mouse modelbreakdown →
566
14 25
15 9
16 72
17 15
18 19
19 28
20
Granulocytapheresis as a possible cancer treatment.
22

About Toshihiro Soma

Toshihiro Soma is a scholar working on Hematology, Genetics and Developmental Neuroscience, having authored 82 papers that have together received 4.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (24 papers), Mesenchymal stem cell research (18 papers) and Angiogenesis and VEGF in Cancer (15 papers). The work is most often cited by research in Developmental Neuroscience (632 citations), Genetics (1.2k citations) and Hematology (990 citations). Toshihiro Soma has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Akihiko Taguchi, Tomohiro Matsuyama, David M. Stern, Hiroo Yoshikawa, Hiroaki Naritomi, Hiroya Tamaki, Yoshihiro Fujimori, Hiroyuki Nishimura, Hidekazu Tanaka and Takayoshi Kanda. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Journal of Clinical Oncology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026