Naoya Kitamura
- Molecular Biology
- Infectious Diseases top 5%
- Computational Theory and Mathematics top 2%
- Oncology
- Organic Chemistry top 10%
- Co-authors
- Tetsuya YamamotoEri SasabeJun WangYanmei HuYasusei KudoYasumasa YoshizawaChunlong MaJulia A. Townsend
- Topics
- Hedgehog Signaling Pathway Studies (5 papers)Oral and Maxillofacial Pathology (4 papers)Parvovirus B19 Infection Studies (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Naoya Kitamura
61 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 617
- Infectious Diseases 299
- Computational Theory and Mathematics 285
- Oncology 217
- Organic Chemistry 176
Countries citing papers authored by Naoya Kitamura
This map shows the geographic impact of Naoya Kitamura'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 Naoya Kitamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoya Kitamura more than expected).
Fields of papers citing papers by Naoya Kitamura
This network shows the impact of papers produced by Naoya Kitamura. 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 Naoya Kitamura. The network helps show where Naoya Kitamura may publish in the future.
Co-authorship network of co-authors of Naoya Kitamura
This figure shows the co-authorship network connecting the top 25 collaborators of Naoya Kitamura. A scholar is included among the top collaborators of Naoya Kitamura 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 Naoya Kitamura. Naoya Kitamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 28 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 112 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 23 | |
| 9 | 24 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 4 | |
| 13 | 35 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 49 | |
| 17 | 4 | |
| 18 | Unicystic ameloblastoma of the maxilla : A case report | 6 |
| 19 | 46 | |
| 20 | 14 |
About Naoya Kitamura
Naoya Kitamura is a scholar working on Complementary and Manual Therapy, Otorhinolaryngology and Periodontics, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (5 papers), Oral and Maxillofacial Pathology (4 papers) and Parvovirus B19 Infection Studies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (285 citations), Infectious Diseases (299 citations) and Cancer Research (141 citations). Naoya Kitamura has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Tetsuya Yamamoto, Eri Sasabe, Jun Wang, Yanmei Hu, Yasusei Kudo, Yasumasa Yoshizawa, Chunlong Ma, Julia A. Townsend, Yu Chen and Michael T. Marty. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.