Seiji Kaku

682 citations
46 papers · 566 indexed · h-index 15
Topics
Blood Coagulation and Thrombosis Mechanisms (18 papers)Platelet Disorders and Treatments (14 papers)Atrial Fibrillation Management and Outcomes (8 papers)
Partner nations
JapanNorwayPortugal

In The Last Decade

Seiji Kaku

46 papers receiving 527 citations

Peers

Seiji Kaku
Comparison fields: 5 of 79
  • Hematology 222
  • Cardiology and Cardiovascular Medicine 168
  • Molecular Biology 136
  • Genetics 134
  • Surgery 77
Replace J.L.M.L. van Rijn with:
J.L.M.L. van Rijn Netherlands
Jason M. Foulks United States
Timothy Mather United States
Malou Philips Denmark
Torao Ishida Japan
Margaret Jacobs United States
J.S. Rosenberg United States
S. V. Thiruvikraman Japan
Narendra S. Kishnani United States
Carmen van der Zwaan Netherlands
Seiji Kaku relative to J.L.M.L. van Rijn Netherlands J.L.M.L. van Rijn's profile →
Citations per field
00.5×3.1×
J.L.M.L. van Rijn · 1×
Citations per year

Countries citing papers authored by Seiji Kaku

Since Specialization
Citations

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

Fields of papers citing papers by Seiji Kaku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiji Kaku

This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Kaku. A scholar is included among the top collaborators of Seiji Kaku based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seiji Kaku. Seiji Kaku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 31
4 7
5 14
6 12
7 18
8 13
9 3
10 17
11 29
12 11
13 13
14 1
15 21
16 4
17 55
18 16
19 13
20
THROMBOLYTIC ACTIVITY OF YM866, A NOVEL ANALOG OF T-PA, IN A CANINE MODEL OF CORONARY-ARTERY THROMBOSIS
3

About Seiji Kaku

Seiji Kaku is a scholar working on Hematology, Internal Medicine and Immunology and Allergy, having authored 46 papers that have together received 566 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (18 papers), Platelet Disorders and Treatments (14 papers) and Atrial Fibrillation Management and Outcomes (8 papers). The work is most often cited by research in Hematology (222 citations), Internal Medicine (61 citations) and Immunology and Allergy (51 citations). Seiji Kaku has collaborated with scholars based in Japan, Norway and Portugal. Frequent co-authors include Tomihisa Kawasaki, Toichi Takenaka, Shinya Yano, Yuta Taniuchi, Yoshihiro Fujimura, Kazuo Sato, Hiroyuki Koshio, Fukushi Hirayama, Yuzo Matsumoto and Yoshiyuki Iwatsuki. Their work appears in journals such as Blood, Biochemical Journal and European Journal of Immunology.

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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