Yukiko Takeda

606 total citations
22 papers, 478 citations indexed

About

Yukiko Takeda is a scholar working on Hematology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yukiko Takeda has authored 22 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 5 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yukiko Takeda's work include Iron Metabolism and Disorders (4 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Various Chemistry Research Topics (3 papers). Yukiko Takeda is often cited by papers focused on Iron Metabolism and Disorders (4 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Various Chemistry Research Topics (3 papers). Yukiko Takeda collaborates with scholars based in Japan and United Kingdom. Yukiko Takeda's co-authors include Kazuhiro Iwaï, Keiichi I. Nakayama, Masaaki Nishiyama, Toshiro Moroishi, Atsuhisa Ueda, Mitsuhiro Takeno, Yoshiaki Ishigatsubo, Hideo Kobayashi, Koji Noyori and Michael E. Jung and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Cell Metabolism.

In The Last Decade

Yukiko Takeda

20 papers receiving 473 citations

Peers

Yukiko Takeda
Comparison fields: 5 of 82
  • Molecular Biology 241
  • Hematology 93
  • Pulmonary and Respiratory Medicine 63
  • Rheumatology 56
  • Nutrition and Dietetics 55
Replace J Strauman with:
J Strauman United States
Е. Т. Захарова Russia
Michael C. Nicastri United States
Jose C. Juarez United States
Claudia Lanvers Germany
Linlin Xu China
Hans-Peter Gschwind Switzerland
Andrew G. Roberts United States
Yutaka Nakajima Japan
J Strauman United States View profile →
Citations per field, relative to Yukiko Takeda
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Citations per year, relative to Yukiko Takeda
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Countries citing papers authored by Yukiko Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Yukiko Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukiko Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Yukiko Takeda. A scholar is included among the top collaborators of Yukiko Takeda 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 Yukiko Takeda. Yukiko Takeda 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
# Work Indexed citations
1 12
2 11
3
[Maintenance of cellular and body iron homeostasis].
1
4 10
5 36
6 131
7 2
8 104
9 1
10 53
11
[A case of non-specific interstitial pneumonia in patient with microscopic polyangiitis].
4
12 33
13 0
14 8
15
Distributed Control Architecture for Advanced Telecommunications Services
1
16 1
17 2
18 2
19 5
20 15

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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