Takako Hayashi

1.3k citations
43 papers · 1.0k indexed · h-index 14
Topics
Breast Lesions and Carcinomas (9 papers)Breast Cancer Treatment Studies (7 papers)Pesticide Residue Analysis and Safety (4 papers)
Partner nations
JapanDenmarkIndonesia

In The Last Decade

Takako Hayashi

39 papers receiving 977 citations

Peers

Takako Hayashi
Comparison fields: 5 of 107
  • Oncology 340
  • Molecular Biology 316
  • Endocrinology, Diabetes and Metabolism 234
  • Pathology and Forensic Medicine 219
  • Cancer Research 162
Replace M Oshimura with:
M Oshimura Japan
Mark E. Costlow United States
Yuanyuan Ruan China
Gabriela Balogh United States
Masako Ogawa Japan
Benjamin S. Leung United States
Timothy Hadden United States
Matthew J. LeBaron United States
Roberta Rivi United States
E. Christine Pietsch United States
Takako Hayashi relative to M Oshimura Japan M Oshimura's profile →
Citations per field
00.5×5.6×
M Oshimura · 1×
Citations per year

Countries citing papers authored by Takako Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Takako Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takako Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Takako Hayashi. A scholar is included among the top collaborators of Takako Hayashi 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 Takako Hayashi. Takako Hayashi 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 0
2 13
3 17
4 4
5 7
6 1
7 10
8 1
9 3
10 24
11 16
12 1
13 117
14
[Space radiation dosimetry by a combination of CR-39 and TLD].
1
15 1
16 0
17 23
18 18
19 159
20 12

About Takako Hayashi

Takako Hayashi is a scholar working on Dermatology, Virology and Pathology and Forensic Medicine, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (9 papers), Breast Cancer Treatment Studies (7 papers) and Pesticide Residue Analysis and Safety (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (234 citations), Oncology (340 citations) and Pathology and Forensic Medicine (219 citations). Takako Hayashi has collaborated with scholars based in Japan, Denmark and Indonesia. Frequent co-authors include Naohiro Tsuyama, Toshio Seyama, K Dohi, Takashi Ito, Mitsuaki Akiyama, Takuya Mizuno, Yoichi Hayashi, Nori Nakamura, Mitsuo Oshimura and Michiko Miyaki. Their work appears in journals such as Nature, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.

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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