Takahiro Itaya

576 citations
24 papers · 348 indexed · h-index 10
Topics
Acute Ischemic Stroke Management (4 papers)COVID-19 Clinical Research Studies (3 papers)Rheumatoid Arthritis Research and Therapies (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEStroke

In The Last Decade

Takahiro Itaya

20 papers receiving 344 citations

Peers

Takahiro Itaya
Comparison fields: 5 of 93
  • Surgery 81
  • Epidemiology 74
  • Biomedical Engineering 72
  • Health Informatics 53
  • Materials Chemistry 43
Replace Mohit Kumar Patralekh with:
Mohit Kumar Patralekh India
Srinivas B. S. Kambhampati India
Zaamin B. Hussain United States
Richard M. Danilkowicz United States
Dominik Pförringer Germany
Caroline Mouton Luxembourg
Kathryn E. Darras Canada
J. Herman Kan United States
Roger J. Bartolotta United States
Anne Marie Fenstad Norway
Takahiro Itaya relative to Mohit Kumar Patralekh India Mohit Kumar Patralekh's profile →
Citations per field
00.5×10×20×30×43×
Mohit Kumar Patralekh · 1×
Citations per year

Countries citing papers authored by Takahiro Itaya

Since Specialization
Citations

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

Fields of papers citing papers by Takahiro Itaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takahiro Itaya

This figure shows the co-authorship network connecting the top 25 collaborators of Takahiro Itaya. A scholar is included among the top collaborators of Takahiro Itaya 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 Takahiro Itaya. Takahiro Itaya 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 1
5 4
6 53
7 0
8 12
9 5
10 2
11 3
12 2
13 2
14 3
15 9
16 13
17 50
18 18
19 11
20 91

About Takahiro Itaya

Takahiro Itaya is a scholar working on Health Informatics, Applied Microbiology and Biotechnology and Rehabilitation, having authored 24 papers that have together received 348 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (4 papers), COVID-19 Clinical Research Studies (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). The work is most often cited by research in Health Informatics (53 citations), Rehabilitation (29 citations) and Modeling and Simulation (16 citations). Takahiro Itaya has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kazuaki Jindai, Yuki Furuse, Takuya Ishimoto, Mitsuo Niinomi, Takayoshi Nakano, Takuya Miura, Masakazu Nishigaki, Yosuke Yamamoto, Eiichi Nomura and Yusuke Murakami. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

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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