Reiko Watanabe

3.1k citations
85 papers · 2.2k indexed · h-index 28
Topics
Computational Drug Discovery Methods (12 papers)Pharmacogenetics and Drug Metabolism (9 papers)Analytical Chemistry and Chromatography (7 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Reiko Watanabe

74 papers receiving 2.2k citations

Peers

Reiko Watanabe
Comparison fields: 5 of 137
  • Molecular Biology 1.1k
  • Oncology 332
  • Pathology and Forensic Medicine 244
  • Computational Theory and Mathematics 209
  • Public Health, Environmental and Occupational Health 208
Replace Nam Doo Kim with:
Nam Doo Kim South Korea
Vanicha Vichai Thailand
Renata Kontek Poland
Xing Du China
Jørgen Olsen Denmark
Vincenza Dolce Italy
Sushil Kumar India
Sanjay Kumar Bharti India
Xinliang Mao China
Sathees C. Raghavan India
Reiko Watanabe relative to Nam Doo Kim South Korea Nam Doo Kim's profile →
Citations per field
00.5×4.2×
Nam Doo Kim · 1×
Citations per year

Countries citing papers authored by Reiko Watanabe

Since Specialization
Citations

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

Fields of papers citing papers by Reiko Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reiko Watanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Reiko Watanabe. A scholar is included among the top collaborators of Reiko Watanabe 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 Reiko Watanabe. Reiko Watanabe 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 0
2 0
3 0
4 17
5 39
6 2
7 6
8 58
9 215
10 19
11
[Usage conditions and intentions to use monitoring services for the elderly living alone].
4
12 3
13 41
14 108
15 164
16 49
17
0
18 13
19 78
20 2

About Reiko Watanabe

Reiko Watanabe is a scholar working on Pharmacology, Biotechnology and Computational Theory and Mathematics, having authored 85 papers that have together received 2.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Analytical Chemistry and Chromatography (7 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Pharmacology (126 citations) and Pathology and Forensic Medicine (244 citations). Reiko Watanabe has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hideaki Ogiwara, Takashi Kohno, Kenji Mizuguchi, Akira Yasui, Rikiya Ohashi, Ayako Ui, Tsuyoshi Esaki, Shin‐ichiro Kanno, Hitoshi Kawashima and Yayoi Natsume‐Kitatani. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and ACS Nano.

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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