Hajime Kasai

819 citations
80 papers · 512 indexed · h-index 12
Topics
Pulmonary Hypertension Research and Treatments (35 papers)Vascular Anomalies and Treatments (16 papers)Cardiovascular Function and Risk Factors (14 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONESensors
Partner nations
JapanNetherlands

In The Last Decade

Hajime Kasai

68 papers receiving 502 citations

Peers

Hajime Kasai
Comparison fields: 5 of 93
  • Pulmonary and Respiratory Medicine 277
  • Cardiology and Cardiovascular Medicine 205
  • Surgery 57
  • Radiology, Nuclear Medicine and Imaging 56
  • Genetics 55
Replace M Riedel with:
M Riedel Germany
Alexandria Brackett United States
Eric S. Wise United States
Andrew W. Asimos United States
Alan C. Legasto United States
Emily C. Marlow United States
Allen Li Canada
Samanjit S Hare United Kingdom
Giles Maskell United Kingdom
A.H. Zwinderman Netherlands
Hajime Kasai relative to M Riedel Germany M Riedel's profile →
Citations per field
00.5×7.8×
M Riedel · 1×
Citations per year

Countries citing papers authored by Hajime Kasai

Since Specialization
Citations

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

Fields of papers citing papers by Hajime Kasai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hajime Kasai

This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Kasai. A scholar is included among the top collaborators of Hajime Kasai 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 Hajime Kasai. Hajime Kasai 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 0
2 0
3 1
4 1
5 1
6 1
7 33
8 4
9 0
10 3
11 5
12 2
13 8
14 0
15 11
16 3
17 7
18 1
19 5
20 14

About Hajime Kasai

Hajime Kasai is a scholar working on Family Practice, Genetics and Internal Medicine, having authored 80 papers that have together received 512 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (35 papers), Vascular Anomalies and Treatments (16 papers) and Cardiovascular Function and Risk Factors (14 papers). The work is most often cited by research in Health Informatics (27 citations), Internal Medicine (41 citations) and Cardiology and Cardiovascular Medicine (205 citations). Hajime Kasai has collaborated with scholars based in Japan and Netherlands. Frequent co-authors include Koichiro Tatsumi, Toshihiko Sugiura, Seiichiro Sakao, Nobuhiro Tanabe, Ayako Shigeta, Jiro Terada, Takayuki Jujo, Naoko Kawata, Rika Suda and Rintaro Nishimura. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

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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