Akira Yoshioka

12.0k citations
417 papers · 8.7k indexed · h-index 49

Akira Yoshioka

397 papers receiving 8.3k citations

Peers

Akira Yoshioka
Comparison fields: 5 of 171
  • Hematology 4.1k
  • Genetics 944
  • Internal Medicine 214
  • Immunology 1.1k
  • Immunology and Allergy 324
Replace David P. Witte with:
David P. Witte United States
William Krivit United States
Gregory M. Vercellotti United States
Jay L. Degen United States
Takashi Kato Japan
Victor W.M. van Hinsbergh Netherlands
Giuliano Mariani Italy
Robert S. Weinstein United States
Kenneth A. Ault United States
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Citations per field
00.5×3.1×
David P. Witte · 1×
Citations per year

Countries citing papers authored by Akira Yoshioka

Since Specialization
Citations

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

Fields of papers citing papers by Akira Yoshioka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2
Circadian variations in anaerobic threshold
20142
3 20141
4 20112
5
The relationship between inferior vena cava distensibility and arterial blood pressure
20111
6
Relationship among First Heart Sound Amplitude, Double Product and Cardiac Parasympathetic Nervous System Modulation during Graded Exercise
20111
7 20081
8 20063
9 20063
10
20041
11 1999157
12 199836
13
[Ibudilast prevents oligodendroglial excitotoxicity].
19974
14 199472
15 19922
16
The early diagnosis of ischemic cerebrovascular diseases by means of 0.5 Tesla MRI
19881
17 1987106
18
Brain stem type neuro-Behcet's syndrome
19872
19 19827
20
Studies of human coagulation factok 9-1-Purification and immunological characterization of factor 9
19781

About Akira Yoshioka

Akira Yoshioka is a scholar working on Hematology, Genetics and Neurology, having authored 417 papers that have together received 8.7k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (123 papers), Platelet Disorders and Treatments (113 papers), Blood Coagulation and Thrombosis Mechanisms (76 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (29 papers), Blood groups and transfusion (28 papers), Cancer-related gene regulation (20 papers), Blood properties and coagulation (19 papers) and Heparin-Induced Thrombocytopenia and Thrombosis (17 papers). The work is most often cited by research in Hematology (4.1k citations), Genetics (944 citations) and Internal Medicine (214 citations). Akira Yoshioka has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Midori Shima, Yoshihiro Fujimura, Ichiro Tanaka, Yoshiki Miyachi, Mitsuhiko Sugimoto, David Pleasure, Yoshihiko Sakurai, Hiromu Fukui, Koiti Titani and Zaverio M. Ruggeri. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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