Hayato Kaida

3.1k total citations
118 papers, 2.2k citations indexed

About

Hayato Kaida is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Hayato Kaida has authored 118 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Pulmonary and Respiratory Medicine, 44 papers in Radiology, Nuclear Medicine and Imaging and 27 papers in Surgery. Recurrent topics in Hayato Kaida's work include Medical Imaging Techniques and Applications (35 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Lung Cancer Diagnosis and Treatment (13 papers). Hayato Kaida is often cited by papers focused on Medical Imaging Techniques and Applications (35 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Lung Cancer Diagnosis and Treatment (13 papers). Hayato Kaida collaborates with scholars based in Japan, United States and Switzerland. Hayato Kaida's co-authors include Masatoshi Ishibashi, Naofumi Hayabuchi, Nobuhiro Tahara, Kenkichi Baba, Tsutomu Imaizumi, Hiroyuki Nakaura, Hisashi Kai, Seiji Kurata, Minori Mizoguchi and Sho‐ichi Yamagishi and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Hayato Kaida

111 papers receiving 2.2k citations

Peers

Hayato Kaida
Comparison fields: 5 of 94
  • Radiology, Nuclear Medicine and Imaging 991
  • Pulmonary and Respiratory Medicine 989
  • Cardiology and Cardiovascular Medicine 476
  • Surgery 430
  • Epidemiology 282
Replace Masatoshi Ishibashi with:
Masatoshi Ishibashi Japan
Kirsten Bouchelouche Denmark
Eriko Tsukamoto Japan
Andreas G. Wibmer United States
Christian Cohade United States
Raffaele Giubbini Italy
Donald R. Neumann United States
Jan Bucerius Germany
Miguel Hernandez Pampaloni United States
Susanne Klutmann Germany
Masatoshi Ishibashi Japan View profile →
Citations per field, relative to Hayato Kaida
Hayato Kaida · 1×
Citations per year, relative to Hayato Kaida
Hayato Kaida · 1×

Countries citing papers authored by Hayato Kaida

Since Specialization
Citations

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

Fields of papers citing papers by Hayato Kaida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hayato Kaida

This figure shows the co-authorship network connecting the top 25 collaborators of Hayato Kaida. A scholar is included among the top collaborators of Hayato Kaida 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 Hayato Kaida. Hayato Kaida 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
# Work Indexed citations
1 0
2 2
3 8
4 0
5 2
6 2
7 5
8 1
9 6
10 26
11 27
12 43
13 1
14 47
15 20
16 27
17 14
18 28
19 55
20 478

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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