Hiromi Kudo

3.2k citations
78 papers · 2.3k indexed · h-index 27

Hiromi Kudo

74 papers receiving 2.3k citations

Peers

Hiromi Kudo
Comparison fields: 5 of 138
  • Radiological and Ultrasound Technology 289
  • Neurology 157
  • Neurology 259
  • Cell Biology 251
  • Aging 25
Replace Yoshihisa Kubota with:
Yoshihisa Kubota Japan
Masahiro Enomoto Japan
Yoshiya Shimada Japan
Tingting Yu China
Carine Maenhaut Belgium
Yoshimi Homma Japan
Christine Fischer Germany
Olof Eriksson Sweden
Lei Qi China
Christopher M. Bunce United Kingdom
Hiromi Kudo relative to Yoshihisa Kubota Japan Yoshihisa Kubota's profile →
Citations per field
00.5×8.3×
Yoshihisa Kubota · 1×
Citations per year

Countries citing papers authored by Hiromi Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Hiromi Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 202439
4 202315
5 20231
6 20219
7 202131
8 202080
9 202027
10 201624
11 201548
12 201542
13 20121
14 20121
15 201023
16 200836
17 200827
18 19992
19 19968
20
An application of scanning electron microscopy to cytodiagnosis of pleural and peritoneal fluids. Comparative observation of the same cells by light microscopy and scanning electron microscopy.
197810

About Hiromi Kudo

Hiromi Kudo is a scholar working on Radiological and Ultrasound Technology, Safety, Risk, Reliability and Quality and Global and Planetary Change, having authored 78 papers that have together received 2.3k indexed citations. Recurring topics across this work include Radioactivity and Radon Measurements (16 papers), Radiation Dose and Imaging (11 papers), Radioactive contamination and transfer (11 papers), Nuclear and radioactivity studies (8 papers), Mass Spectrometry Techniques and Applications (7 papers), Amphibian and Reptile Biology (7 papers), Liver Disease Diagnosis and Treatment (7 papers) and Animal Behavior and Reproduction (6 papers). The work is most often cited by research in Radiological and Ultrasound Technology (289 citations), Neurology (157 citations) and Neurology (259 citations). Hiromi Kudo has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Robert Goldin, Makoto Yoshimoto, Koichi Wakabayashi, Hitoshi Takahashi, Shigenari Hayashi, Mark Thursz, Shinji Tokonami, Masahiro Hosoda, Zoltán Takáts and Masashi Okamura. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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