C Kuroda

3.8k citations
129 papers · 2.9k · h-index 28

Impact in

Papers in

C Kuroda

118 papers receiving 2.7k citations

Peers

C Kuroda
Comparison fields: 5 of 119
  • Hepatology 1.1k
  • Pulmonary and Respiratory Medicine 704
  • Radiology, Nuclear Medicine and Imaging 451
  • Oncology 519
  • Epidemiology 490
Replace M Kadoya with:
M Kadoya Japan
Rheun‐Chuan Lee Taiwan
Christoph Düber Germany
Hiroaki Hoshi Japan
Masahiro Okada Japan
Kazushi Numata Japan
Edward Kim United States
Charlie C. Pan United States
Guangjian Liu China
Kouji Masuda Japan
C Kuroda relative to M Kadoya Japan M Kadoya's profile →
Citations per field
00.5×1.5×2×2.3×
M Kadoya · 1×
Citations per year

Countries citing papers authored by C Kuroda

Since Specialization
Citations

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

Fields of papers citing papers by C Kuroda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992199
2 1991183
3 1999169
4 1984163
5 1983162
6
Development and aging of the cerebrum: assessment with proton MR spectroscopy.
2001112
7
Minute carcinoma of the pancreas measuring 1 cm or less in diameter--collective review of Japanese case reports.
199990
8 199189
9 199186
10 199584
11 198981
12 200269
13 198364
14 198363
15 200358
16 198257
17 199351
18 199050
19 199049
20 199649

About C Kuroda

C Kuroda is a scholar working on Hepatology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Epidemiology and Surgery, having authored 129 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (38 papers), Liver Disease Diagnosis and Treatment (16 papers), MRI in cancer diagnosis (14 papers), Lung Cancer Diagnosis and Treatment (13 papers), Pancreatic and Hepatic Oncology Research (12 papers), Medical Imaging and Pathology Studies (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers). The work is most often cited by research in Hepatology (1.1k citations), Pulmonary and Respiratory Medicine (704 citations), Radiology, Nuclear Medicine and Imaging (451 citations), Oncology (519 citations) and Epidemiology (490 citations). C Kuroda has collaborated with scholars based in Japan and United States. Frequent co-authors include Masami Sakurai, Jun Okamura, Keiko Kuriyama, Shoji Kido, Satoshi Hori, Takahiro Kozuka, T Marukawa, Osamu Ishikawa, Tomohiro Kadota and Hiroaki Ohigashi. Their work appears in journals such as Radiology, American Journal of Roentgenology, Journal of Computer Assisted Tomography, Cancer Chemotherapy and Pharmacology and Journal of Imaging Informatics in Medicine.

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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