Ryo Morimura

3.6k citations
157 papers · 3.0k · h-index 23

Impact in

    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 24
    • Colorectal Cancer Surgical Treatments 9
    • Inflammatory Biomarkers in Disease Prognosis 8
    • Pancreatic and Hepatic Oncology Research 7
    • Colorectal Cancer Treatments and Studies 5

Ryo Morimura

139 papers receiving 3.0k citations

Peers

Ryo Morimura
Comparison fields: 5 of 62
  • Cancer Research 1.2k
  • Hepatology 204
  • Oncology 366
  • Pulmonary and Respiratory Medicine 259
  • Surgery 189
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Ryo Morimura relative to Tomohiro Arita Japan Tomohiro Arita's profile →
Citations per field
00.5×2×3.2×
Tomohiro Arita · 1×
Citations per year

Countries citing papers authored by Ryo Morimura

Since Specialization
Citations

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

Fields of papers citing papers by Ryo Morimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010551
2 2011227
3 2011225
4 2013194
5 2012172
6 200997
7 201397
8 201588
9 201786
10
Circulating miR-18a: a sensitive cancer screening biomarker in human cancer.
201574
11 201558
12 201958
13 201656
14 201756
15 201453
16 201446
17 201632
18 201428
19 201828
20 201327

About Ryo Morimura

Ryo Morimura is a scholar working on Hepatology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 157 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (24 papers), Gastric Cancer Management and Outcomes (22 papers), Esophageal Cancer Research and Treatment (20 papers), MicroRNA in disease regulation (11 papers), Colorectal Cancer Surgical Treatments (9 papers), Inflammatory Biomarkers in Disease Prognosis (8 papers), Pancreatic and Hepatic Oncology Research (7 papers) and Colorectal Cancer Treatments and Studies (5 papers). The work is most often cited by research in Cancer Research (1.2k citations), Hepatology (204 citations), Oncology (366 citations), Pulmonary and Respiratory Medicine (259 citations) and Surgery (189 citations). Ryo Morimura has collaborated with scholars based in Japan and United States. Frequent co-authors include Eigo Otsuji, Hirotaka Konishi, Atsushi Shiozaki, Kazuma K. Okamoto, Shuhei Komatsu, Daisuke Ichikawa, Hitoshi Fujiwara, Masahiro Tsujiura, Hisashi Ikoma and Toshiyuki Kosuga. Their work appears in journals such as Anticancer Research, British Journal of Cancer, Langenbeck s Archives of Surgery, Surgical Endoscopy and Scientific Reports.

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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