Hirotaka Matsui

3.6k citations
116 papers · 2.3k indexed · h-index 28
  • Hematology top 1%
    • Acute Myeloid Leukemia Research 38
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research 6
    • Epigenetics and DNA Methylation 14
    • Amyloidosis: Diagnosis, Treatment, Outcomes 13
    • RNA modifications and cancer 8
    • RNA Research and Splicing 7
    • Genomics and Chromatin Dynamics 6
  • Hepatology top 5%
    • Peptidase Inhibition and Analysis 6

Hirotaka Matsui

110 papers receiving 2.3k citations

Peers

Hirotaka Matsui
Comparison fields: 5 of 102
  • Hematology 780
  • Genetics 279
  • Molecular Biology 1.4k
  • Hepatology 130
  • Cancer Research 224
Replace Naoya Takayama with:
Naoya Takayama Japan
Gabriel Ghiaur United States
Maria Antonia Frassanito Italy
Yubin Kang United States
Michel Jourdan France
Virginie Penard‐Lacronique France
Alexander Thompson United Kingdom
Sophie Park France
Maria‐Theresa Krauth Austria
Masaaki Higashihara Japan
Hirotaka Matsui relative to Naoya Takayama Japan Naoya Takayama's profile →
Citations per field
00.5×1.5×
Naoya Takayama · 1×
Citations per year

Countries citing papers authored by Hirotaka Matsui

Since Specialization
Citations

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

Fields of papers citing papers by Hirotaka Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20243
4 20231
5 20234
6 20234
7 20234
8 20202
9 20206
10 20192
11 20199
12 201810
13 20181
14 201713
15 20153
16 201346
17 201251
18 200947
19 20013
20 20008

About Hirotaka Matsui

Hirotaka Matsui is a scholar working on Hematology, Genetics and Molecular Biology, having authored 116 papers that have together received 2.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (38 papers), Epigenetics and DNA Methylation (14 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (13 papers), RNA modifications and cancer (8 papers), RNA Research and Splicing (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Genomics and Chromatin Dynamics (6 papers) and Peptidase Inhibition and Analysis (6 papers). The work is most often cited by research in Hematology (780 citations), Genetics (279 citations) and Molecular Biology (1.4k citations). Hirotaka Matsui has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Toshiya Inaba, Akinori Kanai, Hiroya Asou, Hiroaki Honda, Akiko Nagamachi, Akihiko Yokoyama, Hiroshi Okuda, Daisuke Aki, Akihiro Takeshita and Kaori Shinjo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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