Takeshi Inoue

6.7k citations
280 papers · 4.1k indexed · h-index 36

Takeshi Inoue

254 papers receiving 4.0k citations

Peers

Takeshi Inoue
Comparison fields: 5 of 143
  • Internal Medicine 209
  • Neurology 589
  • Epidemiology 1.1k
  • Pulmonary and Respiratory Medicine 877
  • Cardiology and Cardiovascular Medicine 606
Replace Enrico Fainardi with:
Enrico Fainardi Italy
Yujiro Asada Japan
Jun Amano Japan
Thomas T. Sato United States
Steffen U. Eisenhardt Germany
Chikao Yutani Japan
Inna Chervoneva United States
Rachel C. Chambers United Kingdom
Florian Gebhard Germany
Jozélio Freire de Carvalho Brazil
Takeshi Inoue relative to Enrico Fainardi Italy Enrico Fainardi's profile →
Citations per field
00.5×4.1×
Enrico Fainardi · 1×
Citations per year

Countries citing papers authored by Takeshi Inoue

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Takeshi Inoue, 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 Takeshi Inoue Line = papers co-authored together Takeshi Inoue links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20242
4 20231
5 20205
6 20204
7 20201
8 20191
9 20197
10 201540
11 201341
12 20120
13 20124
14 20032
15
20031
16
High blood superoxide dismutase (SOD) states in patients with diabetes mellitus. : Dependence on extracellular (EC)-SOD.
20022
17
20010
18
Endocrine, ecophysiological and ecological aspects of seasonal adaptations in a water strider, Aquarius paludum (a mini review).
200013
19
20001
20 198248

About Takeshi Inoue

Takeshi Inoue is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 280 papers that have together received 4.1k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (25 papers), Epilepsy research and treatment (22 papers), Cerebrovascular and Carotid Artery Diseases (20 papers), Infectious Encephalopathies and Encephalitis (16 papers), Lymphoma Diagnosis and Treatment (11 papers), Neuroscience and Neuropharmacology Research (11 papers), Viral-associated cancers and disorders (11 papers) and Traumatic Brain Injury and Neurovascular Disturbances (10 papers). The work is most often cited by research in Internal Medicine (209 citations), Neurology (589 citations) and Epidemiology (1.1k citations). Takeshi Inoue has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazumi Kimura, Yasuyuki Iguchi, Kensaku Shibazaki, Hiroshi Tsuda, Kazuto Kobayashi, Shinji Yamashita, Yasunori Hashiguchi, Naohiko Umesaki, Hiroko Fukushima and Makiko Ueda. Their work appears in journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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