Hideo Yagi

2.7k citations
58 papers · 1.7k indexed · h-index 21
  • Hematology top 1%
    • Platelet Disorders and Treatments 29
    • Blood groups and transfusion 7
    • Multiple Myeloma Research and Treatments 4
  • Nephrology top 1%
    • Renal Diseases and Glomerulopathies 16
  • Immunology top 2%
    • Complement system in diseases 38
  • Genetics top 2%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 7
    • Blood disorders and treatments 3
    • Adenosine and Purinergic Signaling 5

Hideo Yagi

54 papers receiving 1.7k citations

Peers

Hideo Yagi
Comparison fields: 5 of 79
  • Hematology 949
  • Nephrology 584
  • Immunology 1.3k
  • Genetics 451
  • Transplantation 90
Replace Ayami Isonishi with:
Ayami Isonishi Japan
Xiaohe Cai United States
Richard F. Olsson Sweden
Fumiaki Nogaki Japan
Jacob van den Born Netherlands
W. Christopher Shelley United States
MC Berndt Australia
Anna Babińska Poland
Takayoshi Matsumura Japan
Serge Lemay Canada
Hideo Yagi relative to Ayami Isonishi Japan Ayami Isonishi's profile →
Citations per field
00.5×1.5×2.4×
Ayami Isonishi · 1×
Citations per year

Countries citing papers authored by Hideo Yagi

Since Specialization
Citations

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

Fields of papers citing papers by Hideo Yagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 202315
3 201825
4 201733
5 20177
6 20124
7 20095
8 200812
9 20071
10 200716
11 200644
12 200613
13 200538
14 200270
15 200211
16 200129
17 200124
18 200190
19 199919
20 19998

About Hideo Yagi

Hideo Yagi is a scholar working on Hematology, Nephrology and Immunology, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Complement system in diseases (38 papers), Platelet Disorders and Treatments (29 papers), Renal Diseases and Glomerulopathies (16 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers), Blood groups and transfusion (7 papers), Adenosine and Purinergic Signaling (5 papers), Multiple Myeloma Research and Treatments (4 papers) and Blood disorders and treatments (3 papers). The work is most often cited by research in Hematology (949 citations), Nephrology (584 citations) and Immunology (1.3k citations). Hideo Yagi has collaborated with scholars based in Japan, United States and Nigeria. Frequent co-authors include Masanori Matsumoto, Yoshihiro Fujimura, Hiromichi Ishizashi, Toshiyuki Miyata, Koichi Kokame, Kenji Soejima, Hideo Wada, Mutsuko Konno, Taei Matsui and Hiroshi Tamai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

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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