Toshio Abe

241 papers receiving 3.1k citations

Peers

Toshio Abe
Comparison fields: 5 of 166
  • Developmental Neuroscience 88
  • Pulmonary and Respiratory Medicine 624
  • Neurology 266
  • Cardiology and Cardiovascular Medicine 363
  • Endocrine and Autonomic Systems 94
Replace Makoto Ishikawa with:
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C. V. Howard United Kingdom
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Toshio Abe relative to Makoto Ishikawa Japan Makoto Ishikawa's profile →
Citations per field
00.5×2.8×
Makoto Ishikawa · 1×
Citations per year

Countries citing papers authored by Toshio Abe

Since Specialization
Citations

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

Fields of papers citing papers by Toshio Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 260 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994131
2 1991105
3 1989102
4 197391
5 199280
6 199077
7 199473
8 199663
9 199862
10 200758
11 200854
12 199453
13 199751
14 199450
15
Expression of cell cycle regulator p27Kip1 is correlated with survival of patients with astrocytoma.
199946
16 199546
17 199344
18 198844
19 200644
20 199442

About Toshio Abe

Toshio Abe is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Electrical and Electronic Engineering, Molecular Biology and Materials Chemistry, having authored 260 papers that have together received 3.3k indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (16 papers), Advancements in Solid Oxide Fuel Cells (15 papers), Fuel Cells and Related Materials (12 papers), Cardiac Valve Diseases and Treatments (11 papers), Electrocatalysts for Energy Conversion (10 papers), Asthma and respiratory diseases (8 papers), Hydrology and Watershed Management Studies (8 papers) and Cardiac and Coronary Surgery Techniques (8 papers). The work is most often cited by research in Developmental Neuroscience (88 citations), Pulmonary and Respiratory Medicine (624 citations), Neurology (266 citations), Cardiology and Cardiovascular Medicine (363 citations) and Endocrine and Autonomic Systems (94 citations). Toshio Abe has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Akihiko Usui, Mitsuya Murase, Eiji Takeuchi, Osamu Yamamoto, Shigemi Yoshihara, Munehisa Imaizumi, Takao Watanabe, Minoru Tanaka, Y. Takeda and Osamu Arisaka. Their work appears in journals such as The Annals of Thoracic Surgery, Japanese Journal of Applied Physics, Journal of Thoracic and Cardiovascular Surgery, Hydrological Processes and Surgery Today.

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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