Ken Murakami
Impact in
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- Immune cells in cancer
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Inflammation biomarkers and pathways
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- Sphingolipid Metabolism and Signaling
- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
Papers in
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- Advanced biosensing and bioanalysis techniques 2
- Bone Metabolism and Diseases 2
- Machine Learning in Bioinformatics 1
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- Immune Response and Inflammation 2
- Immune cells in cancer 2
- Co-authors
- Yutaka Kawahito (6 shared papers)Masataka Kohno (6 shared papers)Hidetake Nagahara (4 shared papers)Aihiro Yamamoto (5 shared papers)Takahiro Seno (4 shared papers)Wataru Fujii (4 shared papers)Eishi Ashihara (3 shared papers)Hidetaka Ishino (2 shared papers)
- Journals
- PLoS ONE (3 papers)The Journal of Immunology (1 paper)Scientific Reports (1 paper)Annals of the Rheumatic Diseases (1 paper)Journal of Dental Research (1 paper)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Ken Murakami
11 papers receiving 334 citations
Peers
Comparison fields: 5 of 69
- Immunology 146
- Molecular Biology 174
- Oncology 65
- Rheumatology 24
- Neurology 13
Countries citing papers authored by Ken Murakami
This map shows the geographic impact of Ken Murakami'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 Ken Murakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Murakami more than expected).
Fields of papers citing papers by Ken Murakami
This network shows the impact of papers produced by Ken Murakami. 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 Ken Murakami. The network helps show where Ken Murakami may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Murakami, 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 | 2013 | 129 | |
| 2 | Induction of PIG3 and NOXA through acetylation of p53 at 320 and 373 lysine residues as a mechanism for apoptotic cell death by histone deacetylase inhibitors. | 2003 | 96 |
| 3 | 2014 | 43 | |
| 4 | 2019 | 28 | |
| 5 | 2014 | 15 | |
| 6 | 2022 | 12 | |
| 7 | 2011 | 6 | |
| 8 | 2004 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2025 | 1 | |
| 11 | 2013 | 1 | |
| 12 | 2022 | 0 | |
| 13 | 2023 | 0 | |
| 14 | 2025 | 0 |
About Ken Murakami
Ken Murakami is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 14 papers that have together received 338 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (2 papers), Immune Response and Inflammation (2 papers), Bone Metabolism and Diseases (2 papers), Immune cells in cancer (2 papers), Machine Learning in Bioinformatics (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Immunology (146 citations), Molecular Biology (174 citations), Oncology (65 citations), Rheumatology (24 citations) and Neurology (13 citations). Ken Murakami has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Yutaka Kawahito, Masataka Kohno, Hidetake Nagahara, Aihiro Yamamoto, Takahiro Seno, Wataru Fujii, Eishi Ashihara, Hidetaka Ishino, Naoko Kajitani and Hideyo Hirai. Their work appears in journals such as PLoS ONE, The Journal of Immunology, Scientific Reports, Annals of the Rheumatic Diseases and Journal of Dental Research.
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.