Naoko Taniguchi
- Molecular Biology
- Genetics
- Sociology and Political Science
- Cellular and Molecular Neuroscience
- Political Science and International Relations top 10%
- Co-authors
- Hideo TaniuraKazuaki YoshikawaYusaku HoriuchiKosuke ImaiAkihiko OguraKeiko Tominaga‐YoshinoMichio NiinobeChitoshi Takayama
- Topics
- Electoral Systems and Political Participation (5 papers)Neurogenetic and Muscular Disorders Research (3 papers)Social Media and Politics (2 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Naoko Taniguchi
24 papers receiving 440 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 247
- Genetics 78
- Sociology and Political Science 51
- Cellular and Molecular Neuroscience 47
- Political Science and International Relations 43
Countries citing papers authored by Naoko Taniguchi
This map shows the geographic impact of Naoko Taniguchi'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 Taniguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoko Taniguchi more than expected).
Fields of papers citing papers by Naoko Taniguchi
This network shows the impact of papers produced by Naoko Taniguchi. 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 Taniguchi. The network helps show where Naoko Taniguchi may publish in the future.
Co-authorship network of co-authors of Naoko Taniguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Taniguchi. A scholar is included among the top collaborators of Naoko Taniguchi 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 Taniguchi. Naoko Taniguchi 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 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 20 | |
| 15 | Designing and Analyzing Randomized Experiments: Application to a Japanese Election Survey Experiment | 5 |
| 16 | 16 | |
| 17 | 45 | |
| 18 | 6 | |
| 19 | 76 | |
| 20 | 147 |
About Naoko Taniguchi
Naoko Taniguchi is a scholar working on Genetics, Communication and Statistics and Probability, having authored 28 papers that have together received 455 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (5 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Social Media and Politics (2 papers). The work is most often cited by research in Developmental Neuroscience (19 citations), Molecular Biology (247 citations) and Communication (21 citations). Naoko Taniguchi has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Hideo Taniura, Kazuaki Yoshikawa, Yusaku Horiuchi, Kosuke Imai, Akihiko Ogura, Keiko Tominaga‐Yoshino, Michio Niinobe, Chitoshi Takayama, Naoko Imamoto and Makiko Koike. Their work appears in journals such as Journal of Biological Chemistry, Energy and American Journal of Political Science.
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.