Takeshi Nara
- Molecular Biology top 10%
- Epidemiology top 5%
- Parasitology top 1%
- Public Health, Environmental and Occupational Health top 5%
- Ecology top 10%
- Co-authors
- Takashi AokiMuneaki HashimotoKiyoshi KitaTakeshi AnnouraJunko Nakajima‐ShimadaShigeharu HaradaD.K. InaokaTetsuo Hashimoto
- Topics
- Trypanosoma species research and implications (39 papers)Parasites and Host Interactions (27 papers)Biochemical and Molecular Research (23 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanTaiwanUnited Kingdom
In The Last Decade
Takeshi Nara
105 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.0k
- Epidemiology 666
- Parasitology 478
- Public Health, Environmental and Occupational Health 406
- Ecology 265
Countries citing papers authored by Takeshi Nara
This map shows the geographic impact of Takeshi Nara'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 Takeshi Nara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Nara more than expected).
Fields of papers citing papers by Takeshi Nara
This network shows the impact of papers produced by Takeshi Nara. 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 Takeshi Nara. The network helps show where Takeshi Nara may publish in the future.
Co-authorship network of co-authors of Takeshi Nara
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Nara. A scholar is included among the top collaborators of Takeshi Nara 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 Takeshi Nara. Takeshi Nara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 42 | |
| 4 | 13 | |
| 5 | Prevalence of Schistosoma Intercalatum and S. Haematobium Infection Among Primary Schoolchildren in Capital Areas of Democratic Republic Of São Tomé and Príncipe, West Africa | 2 |
| 6 | 41 | |
| 7 | 44 | |
| 8 | 2 | |
| 9 | 37 | |
| 10 | 36 | |
| 11 | 49 | |
| 12 | 20 | |
| 13 | 10 | |
| 14 | 10 | |
| 15 | 47 | |
| 16 | 10 | |
| 17 | 46 | |
| 18 | 35 | |
| 19 | 19 | |
| 20 | 2 |
About Takeshi Nara
Takeshi Nara is a scholar working on Parasitology, Small Animals and Physiology, having authored 106 papers that have together received 2.3k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (39 papers), Parasites and Host Interactions (27 papers) and Biochemical and Molecular Research (23 papers). The work is most often cited by research in Parasitology (478 citations), Epidemiology (666 citations) and Small Animals (115 citations). Takeshi Nara has collaborated with scholars based in Japan, Taiwan and United Kingdom. Frequent co-authors include Takashi Aoki, Muneaki Hashimoto, Kiyoshi Kita, Takeshi Annoura, Junko Nakajima‐Shimada, Shigeharu Harada, D.K. Inaoka, Tetsuo Hashimoto, Takashi Makiuchi and K Yasuraoka. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.