Kishio Kuroda

557 citations
14 papers · 218 indexed · h-index 8
Topics
Radiomics and Machine Learning in Medical Imaging (4 papers)AI in cancer detection (4 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers)
Partner nations
JapanUnited States

In The Last Decade

Kishio Kuroda

13 papers receiving 214 citations

Peers

Kishio Kuroda
Comparison fields: 5 of 47
  • Radiology, Nuclear Medicine and Imaging 118
  • Artificial Intelligence 95
  • Pulmonary and Respiratory Medicine 91
  • Cardiology and Cardiovascular Medicine 29
  • Surgery 18
Replace Rongqin Zheng with:
Rongqin Zheng China
Frederik Wessels Germany
Mi-ri Kwon South Korea
Mohab M. Elmohr United States
Jung Min Bae South Korea
Martin Fergie United Kingdom
Touseef Ahmad Qureshi United States
Emily B. Tsai United States
Fatemeh Amrollahi United States
Kishio Kuroda relative to Rongqin Zheng China Rongqin Zheng's profile →
Citations per field
00.5×1.5×2.2×
Rongqin Zheng · 1×
Citations per year

Countries citing papers authored by Kishio Kuroda

Since Specialization
Citations

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

Fields of papers citing papers by Kishio Kuroda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kishio Kuroda

This figure shows the co-authorship network connecting the top 25 collaborators of Kishio Kuroda. A scholar is included among the top collaborators of Kishio Kuroda 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 Kishio Kuroda. Kishio Kuroda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2 9
3 14
4 4
5 69
6 1
7 61
8 11
9 9
10 0
11 23
12 6
13 1
14 8

About Kishio Kuroda

Kishio Kuroda is a scholar working on Health Informatics, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 218 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (118 citations) and Artificial Intelligence (95 citations). Kishio Kuroda has collaborated with scholars based in Japan and United States. Frequent co-authors include Junya Fukuoka, Andrey Bychkov, Hoa Pham, Mitsuru Futakuchi, Taro Sakamoto, Hidenori Sakanashi, Kazuhiro Tabata, Atsushi Amano, Toshifumi Takahashi and Yoshiaki Zaizen. Their work appears in journals such as PLoS ONE, CHEST Journal and American Journal Of Pathology.

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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