Naoko Kikkawa
- Molecular Biology top 5%
- Cancer Research top 0.5%
- Oncology top 10%
- Pulmonary and Respiratory Medicine
- Pathology and Forensic Medicine top 10%
- Co-authors
- Naohiko SekiToyoyuki HanazawaYoshitaka OkamotoMasayuki NakagawaHideki EnokidaTakeshi ChiyomaruLisa FujimuraNijiro Nohata
- Topics
- MicroRNA in disease regulation (39 papers)Cancer-related molecular mechanisms research (31 papers)RNA modifications and cancer (26 papers)
- Journals
- SHILAP Revista de lepidopterologíaCancer ResearchBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited States
In The Last Decade
Naoko Kikkawa
68 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 2.2k
- Cancer Research 2.0k
- Oncology 331
- Pulmonary and Respiratory Medicine 175
- Pathology and Forensic Medicine 158
Countries citing papers authored by Naoko Kikkawa
This map shows the geographic impact of Naoko Kikkawa'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 Naoko Kikkawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoko Kikkawa more than expected).
Fields of papers citing papers by Naoko Kikkawa
This network shows the impact of papers produced by Naoko Kikkawa. 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 Naoko Kikkawa. The network helps show where Naoko Kikkawa may publish in the future.
Co-authorship network of co-authors of Naoko Kikkawa
This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Kikkawa. A scholar is included among the top collaborators of Naoko Kikkawa 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 Naoko Kikkawa. Naoko Kikkawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 49 | |
| 7 | 40 | |
| 8 | 37 | |
| 9 | 53 | |
| 10 | 99 | |
| 11 | 111 | |
| 12 | 53 | |
| 13 | 81 | |
| 14 | 150 | |
| 15 | 136 | |
| 16 | 282 | |
| 17 | 381 | |
| 18 | 45 | |
| 19 | 30 | |
| 20 | Intrahepatic interleukin-2 with chemotherapy for unresectable liver metastases: a randomized multicenter trial. | 10 |
About Naoko Kikkawa
Naoko Kikkawa is a scholar working on Cancer Research, Hepatology and Molecular Biology, having authored 68 papers that have together received 2.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (39 papers), Cancer-related molecular mechanisms research (31 papers) and RNA modifications and cancer (26 papers). The work is most often cited by research in Cancer Research (2.0k citations), Molecular Biology (2.2k citations) and Oncology (331 citations). Naoko Kikkawa has collaborated with scholars based in Japan and United States. Frequent co-authors include Naohiko Seki, Toyoyuki Hanazawa, Yoshitaka Okamoto, Masayuki Nakagawa, Hideki Enokida, Takeshi Chiyomaru, Lisa Fujimura, Nijiro Nohata, Keiichi Koshizuka and Hirofumi Yoshino. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Biochemical and Biophysical Research Communications.
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.