Susumu Nishimura
- Molecular Biology top 0.1%
- Cancer Research top 0.2%
- Oncology top 0.5%
- Genetics top 1%
- Organic Chemistry top 1%
- Co-authors
- Hiroshi KasaiYoshiyuki KuchinoFumio HaradaZiro YamaizumiShigeyuki YokoyamaSaeko MizusawaFrank SeelaEiko Ohtsuka
- Topics
- RNA and protein synthesis mechanisms (177 papers)RNA modifications and cancer (163 papers)DNA and Nucleic Acid Chemistry (79 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Susumu Nishimura
450 papers receiving 22.1k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Molecular Biology 18.6k
- Cancer Research 3.7k
- Oncology 3.2k
- Genetics 1.8k
- Organic Chemistry 1.3k
Countries citing papers authored by Susumu Nishimura
This map shows the geographic impact of Susumu Nishimura'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 Susumu Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susumu Nishimura more than expected).
Fields of papers citing papers by Susumu Nishimura
This network shows the impact of papers produced by Susumu Nishimura. 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 Susumu Nishimura. The network helps show where Susumu Nishimura may publish in the future.
Co-authorship network of co-authors of Susumu Nishimura
This figure shows the co-authorship network connecting the top 25 collaborators of Susumu Nishimura. A scholar is included among the top collaborators of Susumu Nishimura 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 Susumu Nishimura. Susumu Nishimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 148 | |
| 3 | 60 | |
| 4 | Prebiotic chemistry, molecular fossils, nucleosides, and RNA | 9 |
| 5 | 33 | |
| 6 | Results of Vitreous Surgery for Old Idiopathic Macular Holes | 1 |
| 7 | 26 | |
| 8 | 30 | |
| 9 | 16 | |
| 10 | 45 | |
| 11 | 104 | |
| 12 | 71 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 25 | |
| 16 | Recognition of UAG termination codon by mammalian tyrosine tRNA containing 6-thioqueuine in the first position of the anticodon. | 2 |
| 17 | 122 | |
| 18 | 27 | |
| 19 | Deficiency of S-adenosylmethionine-homocysteine methyltransferase activity in hepatoma cells. | 6 |
| 20 | 63 |
About Susumu Nishimura
Susumu Nishimura is a scholar working on Molecular Biology, Cancer Research and Toxicology, having authored 455 papers that have together received 23.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (177 papers), RNA modifications and cancer (163 papers) and DNA and Nucleic Acid Chemistry (79 papers). The work is most often cited by research in Molecular Biology (18.6k citations), Cancer Research (3.7k citations) and Oncology (3.2k citations). Susumu Nishimura has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Hiroshi Kasai, Yoshiyuki Kuchino, Fumio Harada, Ziro Yamaizumi, Shigeyuki Yokoyama, Saeko Mizusawa, Frank Seela, Eiko Ohtsuka, Liang Tong and Mineo Saneyoshi. 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.