Ken-ichi Noma
- Molecular Biology top 1%
- Plant Science top 1%
- Physiology top 10%
- Genetics top 10%
- Cancer Research top 10%
- Co-authors
- Shiv I. S. GrewalIra M. HallC. David AllisHugh P. CamSongtao JiaOsamu IwasakiNabieh AyoubAmikam Cohen
- Topics
- Genomics and Chromatin Dynamics (34 papers)Chromosomal and Genetic Variations (18 papers)RNA Research and Splicing (12 papers)
- Cited by
- AgingMolecular BiologyPlant Science
- Partner nations
- United StatesJapanRussia
In The Last Decade
Ken-ichi Noma
54 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 4.1k
- Plant Science 1.6k
- Physiology 352
- Genetics 330
- Cancer Research 223
Countries citing papers authored by Ken-ichi Noma
This map shows the geographic impact of Ken-ichi Noma'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-ichi Noma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken-ichi Noma more than expected).
Fields of papers citing papers by Ken-ichi Noma
This network shows the impact of papers produced by Ken-ichi Noma. 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-ichi Noma. The network helps show where Ken-ichi Noma may publish in the future.
Co-authorship network of co-authors of Ken-ichi Noma
This figure shows the co-authorship network connecting the top 25 collaborators of Ken-ichi Noma. A scholar is included among the top collaborators of Ken-ichi Noma 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 Ken-ichi Noma. Ken-ichi Noma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 25 | |
| 6 | NAD+ metabolism governs the proinflammatory senescence-associated secretomebreakdown → | 282 |
| 7 | 129 | |
| 8 | 3 | |
| 9 | 57 | |
| 10 | 21 | |
| 11 | 4 | |
| 12 | 14 | |
| 13 | 19 | |
| 14 | 96 | |
| 15 | 9 | |
| 16 | 273 | |
| 17 | Establishment and Maintenance of a Heterochromatin Domainbreakdown → | 710 |
| 18 | Transitions in Distinct Histone H3 Methylation Patterns at the Heterochromatin Domain Boundariesbreakdown → | 600 |
| 19 | 3 | |
| 20 | 17 |
About Ken-ichi Noma
Ken-ichi Noma is a scholar working on Molecular Biology, Aging and Plant Science, having authored 55 papers that have together received 4.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (34 papers), Chromosomal and Genetic Variations (18 papers) and RNA Research and Splicing (12 papers). The work is most often cited by research in Aging (125 citations), Molecular Biology (4.1k citations) and Plant Science (1.6k citations). Ken-ichi Noma has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Shiv I. S. Grewal, Ira M. Hall, C. David Allis, Hugh P. Cam, Songtao Jia, Osamu Iwasaki, Nabieh Ayoub, Amikam Cohen, Hideki Tanizawa and Martin Zofall. Their work appears in journals such as Nature, Science and Cell.
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.