Toshihisa Sumii

2.6k citations
12 papers · 2.2k indexed · 1 hit paper · h-index 11
Topics
Acute Ischemic Stroke Management (7 papers)S100 Proteins and Annexins (4 papers)Cerebrovascular and Carotid Artery Diseases (4 papers)

In The Last Decade

Toshihisa Sumii

12 papers receiving 2.2k citations

Hit Papers

Effects of Matrix Metalloproteinase-9 Gene Knock-Out on t...20012026200920172001250500750

Peers

Toshihisa Sumii
Comparison fields: 5 of 92
  • Molecular Biology 788
  • Epidemiology 750
  • Neurology 714
  • Cancer Research 580
  • Neurology 566
Replace Takeo Abumiya with:
Takeo Abumiya Japan
Tatsuro Mori Japan
Bing–Qiao Zhao China
Arantxa Ortega‐Aznar Spain
Peter Kraft Germany
Eloy Cuadrado Spain
Anna Peñalba Spain
Iván Ballesteros Spain
Mami Ishikawa Japan
Youxi Ai United States
Toshihisa Sumii relative to Takeo Abumiya Japan Takeo Abumiya's profile →
Citations per field
00.5×1.6×
Takeo Abumiya · 1×
Citations per year

Countries citing papers authored by Toshihisa Sumii

Since Specialization
Citations

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

Fields of papers citing papers by Toshihisa Sumii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshihisa Sumii

This figure shows the co-authorship network connecting the top 25 collaborators of Toshihisa Sumii. A scholar is included among the top collaborators of Toshihisa Sumii 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 Toshihisa Sumii. Toshihisa Sumii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 27
2 44
3 121
4 31
5 150
6 179
7 348
8 146
9 173
10 144
11 6
12
Effects of Matrix Metalloproteinase-9 Gene Knock-Out on the Proteolysis of Blood–Brain Barrier and White Matter Components after Cerebral Ischemiabreakdown →
855

About Toshihisa Sumii

Toshihisa Sumii is a scholar working on Hematology, Cancer Research and Neurology, having authored 12 papers that have together received 2.2k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (7 papers), S100 Proteins and Annexins (4 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). The work is most often cited by research in Neurology (714 citations), Cancer Research (580 citations) and Neurology (566 citations). Toshihisa Sumii has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Eng H. Lo, Tatsuro Mori, Xiaoying Wang, Minoru Asahi, M. Elizabeth Fini, Jae‐Chang Jung, Michael A. Moskowitz, Aneesh B. Singhal, Toshiaki Aoki and Shigeyoshi Itohara. Their work appears in journals such as Journal of Neuroscience, Stroke and Journal of Cerebral Blood Flow & Metabolism.

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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