Taeko Kobayashi

2.8k citations
37 papers · 2.2k indexed · 1 hit paper · h-index 20
Topics
Pluripotent Stem Cells Research (8 papers)Developmental Biology and Gene Regulation (7 papers)Ginseng Biological Effects and Applications (6 papers)
Partner nations
JapanUnited StatesItaly

In The Last Decade

Taeko Kobayashi

37 papers receiving 2.2k citations

Hit Papers

The Hes gene family: repressors and oscillators that orch...20072026201320192007100200300400500

Peers

Taeko Kobayashi
Comparison fields: 5 of 120
  • Molecular Biology 1.8k
  • Cell Biology 426
  • Developmental Neuroscience 288
  • Genetics 286
  • Cellular and Molecular Neuroscience 229
Replace Shi‐Chung Ng with:
Shi‐Chung Ng United States
Nikos Panayotatos United States
Juan A. Osés-Prieto United States
Kurumi Y. Horiuchi United States
Deborah J. Stumpo United States
George N. Serbedzija United States
Rainer Schneider Austria
Shunzo Kondo Japan
Chong‐Feng Xu United States
Taeko Kobayashi relative to Shi‐Chung Ng United States Shi‐Chung Ng's profile →
Citations per field
00.5×1.5×2.4×
Shi‐Chung Ng · 1×
Citations per year

Countries citing papers authored by Taeko Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Taeko Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taeko Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Taeko Kobayashi. A scholar is included among the top collaborators of Taeko Kobayashi 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 Taeko Kobayashi. Taeko Kobayashi 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 1
2 1
3 3
4 12
5 17
6 80
7 18
8 46
9 71
10 22
11 47
12 69
13 211
14 227
15 5
16
The Hes gene family: repressors and oscillators that orchestrate embryogenesisbreakdown →
510
17 22
18 125
19 22
20 94

About Taeko Kobayashi

Taeko Kobayashi is a scholar working on Developmental Neuroscience, Molecular Biology and Cell Biology, having authored 37 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), Developmental Biology and Gene Regulation (7 papers) and Ginseng Biological Effects and Applications (6 papers). The work is most often cited by research in Developmental Neuroscience (288 citations), Cell Biology (426 citations) and Molecular Biology (1.8k citations). Taeko Kobayashi has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Ryoichiro Kageyama, Toshiyuki Ohtsuka, Akira Kakizuka, Itaru Imayoshi, Koreaki Ito, Takako Yokozawa, Hikokíchi Oura, Chikara Furusawa, Hiroaki Mizuno and Katsuhiko Shirahige. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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