Yuichiro Semba

706 citations
34 papers · 478 · h-index 13

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Pluripotent Stem Cells Research
    • RNA Research and Splicing

Papers in

    • Acute Myeloid Leukemia Research 8
    • Chronic Myeloid Leukemia Treatments 4
    • CAR-T cell therapy research 3

Yuichiro Semba

29 papers receiving 472 citations

Peers

Yuichiro Semba
Comparison fields: 5 of 70
  • Hematology 86
  • Molecular Biology 306
  • Genetics 39
  • Reproductive Medicine 25
  • Cancer Research 42
Replace Patrick A. Ozark with:
Patrick A. Ozark United States
Lisa M Niswander United States
Esther J.H. Tijchon Netherlands
Anna Zachariou United Kingdom
Laura Beckmann Germany
Mrinal Y. Shah United States
Kirthi Pulakanti United States
Caila Ryan United States
Paul Mollevanger Netherlands
Jaynish S. Shah Australia
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Citations per year

Countries citing papers authored by Yuichiro Semba

Since Specialization
Citations

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

Fields of papers citing papers by Yuichiro Semba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201898
2 202357
3 201730
4 201529
5 201826
6 202225
7 201723
8 202021
9 202317
10 202117
11 202116
12 202216
13 202214
14 201612
15 201712
16 202110
17 20229
18 20228
19 20207
20 20246

About Yuichiro Semba

Yuichiro Semba is a scholar working on Hematology, Oncology, Immunology, Molecular Biology and Genetics, having authored 34 papers that have together received 478 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), CRISPR and Genetic Engineering (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Genomics and Chromatin Dynamics (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Hematology (86 citations), Molecular Biology (306 citations), Genetics (39 citations), Reproductive Medicine (25 citations) and Cancer Research (42 citations). Yuichiro Semba has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Koichi Akashi, Jumpei Nogami, Yasuyuki Ohkawa, Akihito Harada, Kazumitsu Maehara, Yuya Kunisaki, Takahiro Maeda, Yoshikane Kikushige, Kohta Miyawaki and Miyamoto Toshihiro. Their work appears in journals such as International Journal of Hematology, Leukemia, Blood, Communications Biology 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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