Naoko Takeuchi

1.2k citations
57 papers · 778 · h-index 16

Impact in

Papers in

Naoko Takeuchi

53 papers receiving 756 citations

Peers

Naoko Takeuchi
Comparison fields: 5 of 89
  • Developmental Biology 24
  • Pulmonary and Respiratory Medicine 257
  • Oncology 130
  • Ecological Modeling 21
  • Endocrine and Autonomic Systems 26
Replace Toru Shimizu with:
Toru Shimizu Japan
Andrew M. Glazer United States
Tingting Huang China
Armando Garsd United States
Carolyn A. Thomson Canada
Shelley Valle United States
Stewart Huxtable Australia
A. González Gil Spain
Wee‐Ming Boon Australia
Matthı́as Kjeld Iceland
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Citations per field
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Citations per year

Countries citing papers authored by Naoko Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Naoko Takeuchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Naoko Takeuchi Line = papers co-authored together Naoko Takeuchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199285
2 201281
3 198976
4 201770
5 201260
6 199038
7 201231
8 201331
9 201228
10 200225
11 200424
12 201324
13 201422
14 201220
15 200316
16 201515
17 200314
18 20219
19 19909
20 20228

About Naoko Takeuchi

Naoko Takeuchi is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Surgery and Rheumatology, having authored 57 papers that have together received 778 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Lung Cancer Treatments and Mutations (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Moyamoya disease diagnosis and treatment (4 papers), Medical Imaging and Pathology Studies (4 papers), Lung Cancer Research Studies (3 papers), Congenital Diaphragmatic Hernia Studies (3 papers) and Genetic diversity and population structure (3 papers). The work is most often cited by research in Developmental Biology (24 citations), Pulmonary and Respiratory Medicine (257 citations), Oncology (130 citations), Ecological Modeling (21 citations) and Endocrine and Autonomic Systems (26 citations). Naoko Takeuchi has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Jun Yamada, Kazuyoshi Horisaka, Yumi Sugimoto, Ikuko Kimura, Shinji Atagi, Kyoichi Okishio, Naoki Omachi, James Q. Radford, J. Nevil Amos and Alexandra Pavlova. Their work appears in journals such as European Journal of Pharmacology, Life Sciences, Annals of Oncology, Journal of Thoracic Oncology and Diabetic Medicine.

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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