Rie Takikawa

8 total papers · 463 total citations
5 papers, 372 citations indexed

About

Rie Takikawa is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, Rie Takikawa has authored 5 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Rie Takikawa's work include Alzheimer's disease research and treatments (4 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Trace Elements in Health (1 paper). Rie Takikawa is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Trace Elements in Health (1 paper). Rie Takikawa collaborates with scholars based in Japan, United States and Belgium. Rie Takikawa's co-authors include Takeshi Iwatsubo, Taisuke Tomita, Yuichi Morohashi, Nobumasa Takasugi, Tomonari Watabiki, Noriyuki Hatano, Susumu Ohya, Yuji Imaizumi, Ryohei Katayama and Akihiko Koyama and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and FEBS Letters.

In The Last Decade

Rie Takikawa

5 papers receiving 369 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rie Takikawa	254	203	103	82	58	5	372
Donghong Xu	211 0.8×	250 1.2×	59 0.6×	78 1.0×	63 1.1×	9	375
Hideko Kokubo	212 0.8×	298 1.5×	122 1.2×	93 1.1×	70 1.2×	8	442
Nadège Girardot	198 0.8×	253 1.2×	80 0.8×	95 1.2×	51 0.9×	8	379
G.S. Basi	198 0.8×	190 0.9×	91 0.9×	35 0.4×	61 1.1×	6	421
Barbara E. Stopschinski	186 0.7×	143 0.7×	66 0.6×	84 1.0×	22 0.4×	8	369
Shuxia Zhou	276 1.1×	158 0.8×	46 0.4×	85 1.0×	54 0.9×	9	417
Christophe Stenger	159 0.6×	106 0.5×	63 0.6×	30 0.4×	28 0.5×	8	369
Christopher Kirsch	171 0.7×	175 0.9×	58 0.6×	34 0.4×	19 0.3×	6	340
Waltraud Mair	289 1.1×	153 0.8×	82 0.8×	23 0.3×	37 0.6×	10	431
Kazuya Honbou	186 0.7×	63 0.3×	64 0.6×	34 0.4×	43 0.7×	11	394

Countries citing papers authored by Rie Takikawa

Since Specialization

Citations

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

Fields of papers citing papers by Rie Takikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rie Takikawa

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

All Works

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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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