Chioko Nagao

696 citations
28 papers · 419 indexed · h-index 12
Topics
Computational Drug Discovery Methods (10 papers)Protein Structure and Dynamics (6 papers)RNA and protein synthesis mechanisms (6 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
JapanUnited States

In The Last Decade

Chioko Nagao

26 papers receiving 408 citations

Peers

Chioko Nagao
Comparison fields: 5 of 81
  • Molecular Biology 231
  • Computational Theory and Mathematics 163
  • Pharmacology 88
  • Spectroscopy 57
  • Materials Chemistry 45
Replace Yayoi Natsume‐Kitatani with:
Yayoi Natsume‐Kitatani Japan
Thomas Gaillard France
Conrad Stork Germany
Shuaishi Gao China
Sebastian Schneckener Germany
Klaus Dress United States
Björn Windshügel Germany
K. V. Karapetyan United States
Christof H. Schwab Germany
Ákos Tarcsay Hungary
Chioko Nagao relative to Yayoi Natsume‐Kitatani Japan Yayoi Natsume‐Kitatani's profile →
Citations per field
00.5×3.7×
Yayoi Natsume‐Kitatani · 1×
Citations per year

Countries citing papers authored by Chioko Nagao

Since Specialization
Citations

This map shows the geographic impact of Chioko Nagao'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 Chioko Nagao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chioko Nagao more than expected).

Fields of papers citing papers by Chioko Nagao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chioko Nagao. 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 Chioko Nagao. The network helps show where Chioko Nagao may publish in the future.

Co-authorship network of co-authors of Chioko Nagao

This figure shows the co-authorship network connecting the top 25 collaborators of Chioko Nagao. A scholar is included among the top collaborators of Chioko Nagao 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 Chioko Nagao. Chioko Nagao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 4
3 1
4 0
5 0
6 1
7 17
8 8
9 2
10 32
11 16
12 12
13 5
14 7
15 30
16 1
17 4
18 1
19 6
20 13

About Chioko Nagao

Chioko Nagao is a scholar working on Computational Theory and Mathematics, Pharmacology and Molecular Biology, having authored 28 papers that have together received 419 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Computational Theory and Mathematics (163 citations), Pharmacology (88 citations) and Spectroscopy (57 citations). Chioko Nagao has collaborated with scholars based in Japan and United States. Frequent co-authors include Kenji Mizuguchi, Tsuyoshi Esaki, Reiko Watanabe, Yayoi Natsume‐Kitatani, Rikiya Ohashi, Hitoshi Kawashima, Nozomi Nagano, Arina Afanasyeva, Hiroshi Komura and Hiroyoshi Matsumura. 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.

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