Takehiro Katano

30 papers receiving 238 citations

Peers

Takehiro Katano
Comparison fields: 5 of 50
  • Internal Medicine 61
  • Rehabilitation 65
  • Epidemiology 168
  • Neurology 29
  • Neurology 52
Replace Ju-Hun Lee with:
Ju-Hun Lee South Korea
Rosario Donnarumma United States
Fumio Miyashita Japan
Marlena Schnieder Germany
Indrani Acosta United States
Hilde Hénon France
Tamara Sauer Germany
Benedetta Piccardi Italy
Seyed Mohammad Seyedsaadat United States
Leka Sivakumar Canada
Takehiro Katano relative to Ju-Hun Lee South Korea Ju-Hun Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Takehiro Katano

Since Specialization
Citations

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

Fields of papers citing papers by Takehiro Katano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Takehiro Katano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takehiro Katano Line = papers co-authored together Takehiro Katano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201761
2 201925
3 202022
4 201820
5 202019
6 202011
7 20169
8 20227
9 20186
10 20216
11 20225
12 20245
13 20215
14 20205
15 20214
16 20213
17 20203
18
[Influence of temperature on swelling pressure of the bovine corneal stroma].
19663
19 20233
20 20203

About Takehiro Katano

Takehiro Katano is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Internal Medicine, Rehabilitation and Neurology, having authored 37 papers that have together received 241 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (32 papers), Venous Thromboembolism Diagnosis and Management (16 papers), Cerebrovascular and Carotid Artery Diseases (16 papers), Stroke Rehabilitation and Recovery (12 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Cardiac tumors and thrombi (2 papers). The work is most often cited by research in Internal Medicine (61 citations), Rehabilitation (65 citations), Epidemiology (168 citations), Neurology (29 citations) and Neurology (52 citations). Takehiro Katano has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazumi Kimura, Kentaro Suzuki, Junya Aoki, Yasuhiro Nishiyama, Satoshi Suda, Yuki Sakamoto, Seiji Okubo, Takuya Kanamaru, Masahiro Mishina and Chikako Nito. Their work appears in journals such as Journal of the Neurological Sciences, Journal of Stroke and Cerebrovascular Diseases, Frontiers in Neurology, International Journal of Stroke and Neurologia medico-chirurgica.

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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