Daisuke Matsubara

83 papers receiving 1.4k citations

Peers

Daisuke Matsubara
Comparison fields: 5 of 103
  • Oncology 297
  • Cancer Research 149
  • Molecular Biology 659
  • Hepatology 66
  • Pathology and Forensic Medicine 140
Replace Jaime Davila with:
Jaime Davila United States
Joseph T. Roland United States
Michael Boedigheimer United States
Yoichi Tani Japan
Ingeborg Fischer United States
Michele Menicagli Italy
Hiroto Katoh Japan
Åsa Segerstolpe United States
Jeanne Shen United States
Valentina Evdokimova Canada
Daisuke Matsubara relative to Jaime Davila United States Jaime Davila's profile →
Citations per field
00.5×1.5×
Jaime Davila · 1×
Citations per year

Countries citing papers authored by Daisuke Matsubara

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Matsubara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012102
2 201173
3 201269
4 201467
5 201665
6 200563
7 201551
8 200743
9 201540
10 200539
11 201037
12 201037
13 201035
14 201634
15 200632
16 201429
17 201728
18 202027
19 201326
20 200923

About Daisuke Matsubara

Daisuke Matsubara is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Cancer Research, having authored 92 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related gene regulation (13 papers), Neuroendocrine Tumor Research Advances (6 papers), Chromatin Remodeling and Cancer (6 papers), Cancer Cells and Metastasis (5 papers), Epigenetics and DNA Methylation (5 papers), Lung Cancer Treatments and Mutations (5 papers), Caching and Content Delivery (5 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). The work is most often cited by research in Oncology (297 citations), Cancer Research (149 citations), Molecular Biology (659 citations), Hepatology (66 citations) and Pathology and Forensic Medicine (140 citations). Daisuke Matsubara has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Toshiro Niki, Masashi Fukayama, Hiroyuki Aburatani, Shumpei Ishikawa, Yoshinori Murakami, Sachiko Oguni, Akiteru Goto, Shunsuke Endo, Tomoko Tamura and Taichiro Yoshimoto. Their work appears in journals such as Cancer Science, Pathology International, Scientific Reports, Biochemical and Biophysical Research Communications and Frontiers in Medicine.

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.

Explore authors with similar magnitude of impact