Keiji Marushige
- Molecular Biology top 5%
- Genetics top 5%
- Reproductive Medicine top 2%
- Oncology top 10%
- Plant Science top 10%
- Co-authors
- James BonnerYasuko MarushigeGordon H. DixonMichael DahmusDorothy TuanDouglas M. FambroughHironobu OzakiThomas Wong
- Topics
- Animal Genetics and Reproduction (10 papers)Sperm and Testicular Function (7 papers)Genomics and Chromatin Dynamics (6 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Keiji Marushige
45 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.6k
- Genetics 436
- Reproductive Medicine 362
- Oncology 247
- Plant Science 210
Countries citing papers authored by Keiji Marushige
This map shows the geographic impact of Keiji Marushige'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 Keiji Marushige with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiji Marushige more than expected).
Fields of papers citing papers by Keiji Marushige
This network shows the impact of papers produced by Keiji Marushige. 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 Keiji Marushige. The network helps show where Keiji Marushige may publish in the future.
Co-authorship network of co-authors of Keiji Marushige
This figure shows the co-authorship network connecting the top 25 collaborators of Keiji Marushige. A scholar is included among the top collaborators of Keiji Marushige 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 Keiji Marushige. Keiji Marushige is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Changes in the mitogen-activated protein kinase and phosphatidylinositol 3-kinase/Akt signaling associated with the induction of apoptosis. | 15 |
| 2 | Modulation of cell rounding and apoptosis in trigeminal neurinoma cells by protein phosphatase inhibitors. | 1 |
| 3 | Induction of apoptosis by transforming growth factor beta 1 in glioma and trigeminal neurinoma cells. | 21 |
| 4 | 12 | |
| 5 | Effect of nerve growth factor on the transplacental induction of neurinomas by ethylnitrosourea in Sprague-Dawley rats. | 8 |
| 6 | Modulation of growth and of morphological characteristics in glioma cells by nerve growth factor and glia maturation factor. | 29 |
| 7 | 44 | |
| 8 | [Histone modification and its significance (author's transl)]. | 1 |
| 9 | 36 | |
| 10 | 14 | |
| 11 | 73 | |
| 12 | 79 | |
| 13 | 63 | |
| 14 | Protein transformations during differentiation of trout testis. | 3 |
| 15 | Template properties of liver chromatinbreakdown → | 452 |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 9 | |
| 20 | 1 |
About Keiji Marushige
Keiji Marushige is a scholar working on Reproductive Medicine, Biological Psychiatry and Physiology, having authored 45 papers that have together received 2.2k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (10 papers), Sperm and Testicular Function (7 papers) and Genomics and Chromatin Dynamics (6 papers). The work is most often cited by research in Reproductive Medicine (362 citations), Molecular Biology (1.6k citations) and Physiology (93 citations). Keiji Marushige has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include James Bonner, Yasuko Marushige, Gordon H. Dixon, Michael Dahmus, Dorothy Tuan, Douglas M. Fambrough, Hironobu Ozaki, Thomas Wong, Douglas L. Brutlag and Victor Ling. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.