C Kuroda

3.8k citations
128 papers · 2.8k · h-index 28

Impact in

Papers in

C Kuroda

119 papers receiving 2.6k citations

Peers

C Kuroda
Comparison fields: 5 of 117
  • Hepatology 1.1k
  • Pulmonary and Respiratory Medicine 649
  • Radiology, Nuclear Medicine and Imaging 417
  • Oncology 479
  • Surgery 570
Replace Christoph Düber with:
Christoph Düber Germany
M Kadoya Japan
Rheun‐Chuan Lee Taiwan
Hiroaki Hoshi Japan
Masahiro Okada Japan
Kumar Sandrasegaran United States
Alexis Kelekis Greece
Guangjian Liu China
T Kozuka Japan
Kouji Masuda Japan
C Kuroda relative to Christoph Düber Germany Christoph Düber's profile →
Citations per field
00.5×1.5×1.9×
Christoph Düber · 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 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992185
2 1991169
3 1999166
4 1984159
5 1983151
6
Development and aging of the cerebrum: assessment with proton MR spectroscopy.
2001106
7
Minute carcinoma of the pancreas measuring 1 cm or less in diameter--collective review of Japanese case reports.
199987
8 199185
9 199180
10 199578
11 200270
12 198964
13 200359
14 198358
15 198356
16 198254
17 199048
18 199348
19 199647
20 199042

About C Kuroda

C Kuroda is a scholar working on Hepatology, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 128 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (40 papers), Liver Disease Diagnosis and Treatment (18 papers), MRI in cancer diagnosis (15 papers), Lung Cancer Diagnosis and Treatment (12 papers), Pancreatic and Hepatic Oncology Research (11 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 (649 citations), Radiology, Nuclear Medicine and Imaging (417 citations), Oncology (479 citations) and Surgery (570 citations). C Kuroda has collaborated with scholars based in Japan, United States and Türkiye. Frequent co-authors include Masami Sakurai, Keiko Kuriyama, Jun Okamura, Shoji Kido, Satoshi Hori, T Kozuka, Osamu Ishikawa, Tsutomu Kasugai, Masahiko Higashiyama and Tomohiro Kadota. Their work appears in journals such as Radiology, American Journal of Roentgenology, Journal of Computer Assisted Tomography, Cancer Chemotherapy and Pharmacology and Journal of Digital Imaging.

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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