Kosuke Mima

122 papers receiving 3.3k citations

Hit Papers

Human Microbiome Fusobacterium Nucleatum in Esophageal Cancer Tissue Is Associated with Prognosis 2016 · 365 citations
3652016202620192022100200300

Peers

Kosuke Mima
Comparison fields: 5 of 111
  • Hepatology 479
  • Oncology 1.4k
  • Cancer Research 737
  • Geriatrics and Gerontology 99
  • Periodontics 100
Replace Wei‐Hua Jia with:
Wei‐Hua Jia China
Yasushi Toh Japan
Masaru Morita Japan
Xinxiang Li China
Mihael Vucur Germany
Christoph Roderburg Germany
Chikao Miki Japan
Fen Liu China
Hiroaki Nagano Japan
Wing‐Kin Syn United States
Kosuke Mima relative to Wei‐Hua Jia China Wei‐Hua Jia's profile →
Citations per field
00.5×
Wei‐Hua Jia · 1×
Citations per year

Countries citing papers authored by Kosuke Mima

Since Specialization
Citations

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

Fields of papers citing papers by Kosuke Mima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Human Microbiome Fusobacterium Nucleatum in Esophageal Cancer Tissue Is Associated with Prognosis
Hit paper breakdown →
2016365
2 2012181
3 2017117
4 2017100
5 201587
6 201181
7 201480
8 201479
9 201575
10 201671
11 201266
12 201664
13 201763
14 202162
15 201961
16 201758
17 201357
18 201656
19 201456
20 201756

About Kosuke Mima

Kosuke Mima is a scholar working on Hepatology, Geriatrics and Gerontology, Oncology, Cancer Research and Surgery, having authored 131 papers that have together received 3.3k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (27 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (19 papers), Pancreatic and Hepatic Oncology Research (17 papers), Colorectal Cancer Treatments and Studies (14 papers), Colorectal Cancer Screening and Detection (13 papers), Genetic factors in colorectal cancer (12 papers), Liver Disease Diagnosis and Treatment (12 papers) and Epigenetics and DNA Methylation (11 papers). The work is most often cited by research in Hepatology (479 citations), Oncology (1.4k citations), Cancer Research (737 citations), Geriatrics and Gerontology (99 citations) and Periodontics (100 citations). Kosuke Mima has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shigeki Nakagawa, Hiromitsu Hayashi, Hideo Baba, Toru Beppu, Akira Chikamoto, Takatsugu Ishimoto, Hirohisa Okabe, Yo‐ichi Yamashita, Masayuki Watanabe and Yoshifumi Baba. Their work appears in journals such as Cancer Research, International Journal of Clinical Oncology, Annals of Surgical Oncology, Oncology Reports and Anticancer Research.

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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