Masaki Mori

61.1k citations
1.3k papers · 43.4k indexed · 5 hit papers · h-index 93

Masaki Mori

1.3k papers receiving 42.8k citations

Hit Papers

Ultra-sensitive liquid biopsy of ...47519962026200620162505007501000

Peers

Masaki Mori
Comparison fields: 5 of 191
  • Cancer Research 12.4k
  • Oncology 12.0k
  • Gastroenterology 1.7k
  • Molecular Biology 21.3k
  • Pulmonary and Respiratory Medicine 9.6k
Replace Yuichiro� Doki with:
Yuichiro� Doki Japan
David A. Tuveson United States
Markus W. Büchler Germany
Robert J. Coffey United States
Yoshihiko Maehara Japan
Pierre Laurent‐Puig France
Masao Tanaka Japan
Rui‐Hua Xu China
Hiroyuki Kuwano Japan
Anirban Maitra United States
Masaki Mori relative to Yuichiro� Doki Japan Yuichiro� Doki's profile →
Citations per field
00.5×1.6×
Yuichiro� Doki · 1×
Citations per year

Countries citing papers authored by Masaki Mori

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20206
2 201951
3 201835
4 201830
5 201737
6 201561
7 201464
8 201337
9 2012139
10 2011215
11 2011216
12 2011179
13
Long Noncoding RNA HOTAIR Regulates Polycomb-Dependent Chromatin Modification and Is Associated with Poor Prognosis in Colorectal Cancersbreakdown →
20111070
14 201050
15 201080
16 2009126
17 200814
18 200847
19 200693
20 199534

About Masaki Mori

Masaki Mori is a scholar working on Gastroenterology, Cancer Research and Oncology, having authored 1.3k papers that have together received 43.4k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (207 papers), Esophageal Cancer Research and Treatment (129 papers), Esophageal and GI Pathology (91 papers), Gastrointestinal Tumor Research and Treatment (89 papers), Genetic factors in colorectal cancer (85 papers), Pancreatic and Hepatic Oncology Research (82 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (75 papers) and Metastasis and carcinoma case studies (73 papers). The work is most often cited by research in Cancer Research (12.4k citations), Oncology (12.0k citations) and Gastroenterology (1.7k citations). Masaki Mori has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yuichiro� Doki, Koshi Mimori, Hiroshi Inoue, Shuji Takiguchi, Makoto Yamasaki, Fumiaki Tanaka, Hideshi Ishii, Kiyokazu Nakajima, Yukinori Kurokawa and Hidetoshi Eguchi. Their work appears in journals such as Annals of Surgical Oncology, Surgery Today, International Journal of Oncology, British Journal of Cancer and Cancer Science.

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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