Yu‐ichi Fujimura
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
Papers in
-
- Epigenetics and DNA Methylation 11
- Genomics and Chromatin Dynamics 6
- Pluripotent Stem Cells Research 4
- Cancer-related gene regulation 4
- RNA modifications and cancer 2
-
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 2
- Co-authors
- Haruhiko Koseki (12 shared papers)Miguel Vidal (6 shared papers)Ryo Goitsuka (3 shared papers)Daisuke Kitamura (3 shared papers)Takaho A. Endo (2 shared papers)Toshifumi Morimura (2 shared papers)Sachiyo Tsuji (2 shared papers)Hiroshi Mamada (2 shared papers)
- Journals
- Development (4 papers)Stem Cells (2 papers)Histochemistry and Cell Biology (1 paper)International Immunology (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- JapanSpainNetherlands
In The Last Decade
Yu‐ichi Fujimura
15 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 69
- Immunology 264
- Molecular Biology 786
- Cancer Research 100
- Developmental Neuroscience 26
- Genetics 146
Countries citing papers authored by Yu‐ichi Fujimura
This map shows the geographic impact of Yu‐ichi Fujimura'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 Yu‐ichi Fujimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐ichi Fujimura more than expected).
Fields of papers citing papers by Yu‐ichi Fujimura
This network shows the impact of papers produced by Yu‐ichi Fujimura. 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 Yu‐ichi Fujimura. The network helps show where Yu‐ichi Fujimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐ichi Fujimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 238 | |
| 2 | BASH, a novel signaling molecule preferentially expressed in B cells of the bursa of Fabricius. | 1998 | 129 |
| 3 | 2005 | 115 | |
| 4 | 1998 | 111 | |
| 5 | 2009 | 87 | |
| 6 | 2002 | 84 | |
| 7 | 2006 | 78 | |
| 8 | 2010 | 70 | |
| 9 | 2009 | 57 | |
| 10 | 2000 | 44 | |
| 11 | 2006 | 37 | |
| 12 | 2003 | 29 | |
| 13 | 2011 | 25 | |
| 14 | 2007 | 11 | |
| 15 | 2014 | 1 | |
| 16 | [Role of mammalian polycomb group gene products in embryo genesis]. | 2005 | 0 |
About Yu‐ichi Fujimura
Yu‐ichi Fujimura is a scholar working on Molecular Biology, Immunology, Physiology, Cancer Research and Neurology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Genomics and Chromatin Dynamics (6 papers), Pluripotent Stem Cells Research (4 papers), Cancer-related gene regulation (4 papers), T-cell and B-cell Immunology (3 papers), NF-κB Signaling Pathways (2 papers), Immune Cell Function and Interaction (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Immunology (264 citations), Molecular Biology (786 citations), Cancer Research (100 citations), Developmental Neuroscience (26 citations) and Genetics (146 citations). Yu‐ichi Fujimura has collaborated with scholars based in Japan, Spain and Netherlands. Frequent co-authors include Haruhiko Koseki, Miguel Vidal, Ryo Goitsuka, Daisuke Kitamura, Takaho A. Endo, Toshifumi Morimura, Sachiyo Tsuji, Hiroshi Mamada, Koji Uetsuka and Arie P. Otte. Their work appears in journals such as Development, Stem Cells, Histochemistry and Cell Biology, International Immunology and The Journal of Immunology.
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.