Masaru Niki
- Molecular Biology top 5%
- Oncology top 5%
- Immunology top 5%
- Physiology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Pier Paolo PandolfiCarlos Cordon‐CardoZohar DotanJason A. KoutcherLloyd C. TrotmanWilliam L. GeraldZhenbang ChenHoward I. Scher
- Topics
- Chronic Myeloid Leukemia Treatments (7 papers)T-cell and Retrovirus Studies (6 papers)Animal Disease Management and Epidemiology (6 papers)
- Cited by
- ImmunologyHematologyAging
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Masaru Niki
27 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 2.2k
- Oncology 840
- Immunology 814
- Physiology 583
- Pulmonary and Respiratory Medicine 537
Countries citing papers authored by Masaru Niki
This map shows the geographic impact of Masaru Niki'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 Masaru Niki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaru Niki more than expected).
Fields of papers citing papers by Masaru Niki
This network shows the impact of papers produced by Masaru Niki. 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 Masaru Niki. The network helps show where Masaru Niki may publish in the future.
Co-authorship network of co-authors of Masaru Niki
This figure shows the co-authorship network connecting the top 25 collaborators of Masaru Niki. A scholar is included among the top collaborators of Masaru Niki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masaru Niki. Masaru Niki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 36 | |
| 3 | 96 | |
| 4 | 47 | |
| 5 | Crucial role of p53-dependent cellular senescence in suppression of Pten-deficient tumorigenesisbreakdown → | 1533 |
| 6 | 70 | |
| 7 | 53 | |
| 8 | 5 | |
| 9 | Pten Dose Dictates Cancer Progression in the Prostatebreakdown → | 531 |
| 10 | 75 | |
| 11 | 98 | |
| 12 | 24 | |
| 13 | 114 | |
| 14 | 28 | |
| 15 | 24 | |
| 16 | 165 | |
| 17 | Chiba, N. et al. Differentiation-dependent expression and distinct subcellular localization of the protooncogene product, PEBP2/CBF, in muscle development. Oncogene 14, 2543-2552 | 4 |
| 18 | 146 | |
| 19 | 41 | |
| 20 | 43 |
About Masaru Niki
Masaru Niki is a scholar working on Hematology, Immunology and Agronomy and Crop Science, having authored 27 papers that have together received 3.4k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (7 papers), T-cell and Retrovirus Studies (6 papers) and Animal Disease Management and Epidemiology (6 papers). The work is most often cited by research in Immunology (814 citations), Hematology (389 citations) and Aging (60 citations). Masaru Niki has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Pier Paolo Pandolfi, Carlos Cordon‐Cardo, Zohar Dotan, Jason A. Koutcher, Lloyd C. Trotman, William L. Gerald, Zhenbang Chen, Howard I. Scher, Thomas Ludwig and David R. Shaffer. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids 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.