Noriyo Takeda

874 citations
22 papers · 446 indexed · 1 hit paper · h-index 10
Topics
Marine Invertebrate Physiology and Ecology (7 papers)Genomics and Phylogenetic Studies (5 papers)Microbial Community Ecology and Physiology (4 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Noriyo Takeda

20 papers receiving 442 citations

Hit Papers

A highly photostable and bright green fluorescent protein2022202620232024202250100150

Peers

Noriyo Takeda
Comparison fields: 5 of 83
  • Molecular Biology 181
  • Paleontology 104
  • Cellular and Molecular Neuroscience 72
  • Biophysics 59
  • Ecology 56
Replace Paola Bertucci with:
Paola Bertucci Germany
Christian Rouvière France
Ryusaku Deguchi Japan
Michael Wu United States
Ben T. Larson United States
David A. Begg United States
Xavier Grau‐Bové Spain
Raymond E. Stephens United States
T E Schroeder United States
François Prodon France
Noriyo Takeda relative to Paola Bertucci Germany Paola Bertucci's profile →
Citations per field
00.5×3.2×
Paola Bertucci · 1×
Citations per year

Countries citing papers authored by Noriyo Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Noriyo Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriyo Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Noriyo Takeda. A scholar is included among the top collaborators of Noriyo 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 Noriyo Takeda. Noriyo 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
#WorkIndexed citations
1
A highly photostable and bright green fluorescent proteinbreakdown →
158
2 1
3 1
4 0
5 2
6 6
7 1
8 56
9 41
10 38
11 24
12 3
13 19
14 18
15 2
16 28
17 2
18
Stress-strain behavior in CMCs: The role of interfacial sliding
1
19 13
20
Presence of Forssman-like and Hanganutziu Deicher-like antibodies in Japanese sera.
1

About Noriyo Takeda

Noriyo Takeda is a scholar working on Microbiology, Paleontology and Cell Biology, having authored 22 papers that have together received 446 indexed citations. Recurring topics across this work include Marine Invertebrate Physiology and Ecology (7 papers), Genomics and Phylogenetic Studies (5 papers) and Microbial Community Ecology and Physiology (4 papers). The work is most often cited by research in Paleontology (104 citations), Biophysics (59 citations) and Structural Biology (9 citations). Noriyo Takeda has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Ryusaku Deguchi, Toshio Takahashi, Stephen A. Stricker, Pascal Lapébie, Gonzalo Quiroga-Artigas, Evelyn Houliston, Shunsuke Yaguchi, Kazuo Inaba, Junko Yaguchi and Mayu Sugiyama. Their work appears in journals such as Nature Biotechnology, Development and Journal of Virology.

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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