Masayuki Sekimata
- Immunology top 2%
- T-cell and B-cell Immunology 14
- Immune Cell Function and Interaction 12
- Immunotherapy and Immune Responses 10
- Immunology and Allergy top 10%
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 5
- Genomics and Chromatin Dynamics 4
- Protein Kinase Regulation and GTPase Signaling 3
- Cell Biology top 10%
- Skin and Cellular Biology Research 4
- Oncology top 10%
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Christopher B. WilsonEmily RowellYoshimi HommaMasafumi TakiguchiJ StamatoyannopoulosMichael O. DorschnerChristopher WilsonYukihito Kabuyama
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (2 papers)Circulation (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Masayuki Sekimata
39 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Immunology 1.1k
- Immunology and Allergy 80
- Molecular Biology 902
- Cell Biology 188
- Oncology 277
Countries citing papers authored by Masayuki Sekimata
This map shows the geographic impact of Masayuki Sekimata'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 Masayuki Sekimata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Sekimata more than expected).
Fields of papers citing papers by Masayuki Sekimata
This network shows the impact of papers produced by Masayuki Sekimata. 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 Masayuki Sekimata. The network helps show where Masayuki Sekimata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masayuki Sekimata, 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 | 2019 | 15 | |
| 2 | 2011 | 8 | |
| 3 | 2009 | 114 | |
| 4 | Epigenetic control of T-helper-cell differentiationbreakdown → | 2009 | 543 |
| 5 | 2006 | 84 | |
| 6 | 2004 | 44 | |
| 7 | 2004 | 6 | |
| 8 | 2004 | 42 | |
| 9 | 2002 | 73 | |
| 10 | 2001 | 21 | |
| 11 | 2001 | 50 | |
| 12 | 2000 | 135 | |
| 13 | 1999 | 87 | |
| 14 | 1996 | 23 | |
| 15 | 1996 | 1 | |
| 16 | 1994 | 11 | |
| 17 | 1992 | 16 | |
| 18 | 1992 | 6 | |
| 19 | 1990 | 32 | |
| 20 | 1989 | 5 |
About Masayuki Sekimata
Masayuki Sekimata is a scholar working on Immunology, Cell Biology and Transplantation, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (12 papers), Immunotherapy and Immune Responses (10 papers), Epigenetics and DNA Methylation (5 papers), Skin and Cellular Biology Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Genomics and Chromatin Dynamics (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Immunology (1.1k citations), Immunology and Allergy (80 citations) and Molecular Biology (902 citations). Masayuki Sekimata has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Christopher B. Wilson, Emily Rowell, Yoshimi Homma, Masafumi Takiguchi, J Stamatoyannopoulos, Michael O. Dorschner, Christopher Wilson, Yukihito Kabuyama, Masahiro Tanabe and Soldano Ferrone. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Circulation.
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.