Ryoko Kuromatsu

3.9k citations
88 papers · 2.6k indexed · 1 hit paper · h-index 27
  • Hepatology top 0.5%
    • Hepatocellular Carcinoma Treatment and Prognosis 62
    • Hepatitis C virus research 17
    • Liver Disease and Transplantation 14
    • Cancer, Lipids, and Metabolism 11
    • Liver Disease Diagnosis and Treatment 29
    • Hepatitis B Virus Studies 11
    • Cancer Mechanisms and Therapy 10
  • Oncology top 5%
    • Cholangiocarcinoma and Gallbladder Cancer Studies 18

Ryoko Kuromatsu

85 papers receiving 2.6k citations

Hit Papers

CheckMate 040 cohort 5: A phase I/II study of nivolumab i...14120212026202220244080120

Peers

Ryoko Kuromatsu
Comparison fields: 5 of 101
  • Hepatology 2.0k
  • Cancer Research 485
  • Epidemiology 888
  • Pathology and Forensic Medicine 454
  • Oncology 606
Replace Le‐Qun Li with:
Le‐Qun Li China
Masahiro Takita Japan
Jiamei Yang China
Lætitia Fartoux France
Baogang Peng China
M. Moscovici United States
Sadahisa Ogasawara Japan
David Cosgrove United States
Shinichi Ohkawa Japan
Heinz‐Josef Klümpen Netherlands
Ryoko Kuromatsu relative to Le‐Qun Li China Le‐Qun Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ryoko Kuromatsu

Since Specialization
Citations

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

Fields of papers citing papers by Ryoko Kuromatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20242
4 20234
5 20234
6 202314
7 20228
8 202211
9 20225
10 202112
11 20215
12 20216
13 202139
14 202137
15 202115
16 202018
17 202054
18 202044
19 2019187
20 200922

About Ryoko Kuromatsu

Ryoko Kuromatsu is a scholar working on Hepatology, Cancer Research and Epidemiology, having authored 88 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (62 papers), Liver Disease Diagnosis and Treatment (29 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (18 papers), Hepatitis C virus research (17 papers), Liver Disease and Transplantation (14 papers), Hepatitis B Virus Studies (11 papers), Cancer, Lipids, and Metabolism (11 papers) and Cancer Mechanisms and Therapy (10 papers). The work is most often cited by research in Hepatology (2.0k citations), Cancer Research (485 citations) and Epidemiology (888 citations). Ryoko Kuromatsu has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Michio Sata, Shuji Sumie, Koji Okuda, Takuji Torimura, Masatoshi Tanaka, Eiji Ando, Masahito Nakano, Takashi Niizeki, Shusuke Okamura and Akio Takata. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

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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