Atsushi Kittaka

3.2k citations
186 papers · 2.6k indexed · h-index 28
Topics
Vitamin D Research Studies (107 papers)Estrogen and related hormone effects (73 papers)Biotin and Related Studies (34 papers)
Partner nations
JapanUnited StatesTaiwan

In The Last Decade

Atsushi Kittaka

181 papers receiving 2.6k citations

Peers

Atsushi Kittaka
Comparison fields: 5 of 96
  • Pathology and Forensic Medicine 1.4k
  • Genetics 878
  • Molecular Biology 854
  • Organic Chemistry 709
  • Cell Biology 434
Replace Daniela Gallo with:
Daniela Gallo Italy
Hiroyuki Masuno Japan
Surinder K. Chander United Kingdom
Lawrence M. Ballas United States
Pierre De Clercq Belgium
Emmanuelle J. Meuillet United States
Lisa M. Shewchuk United States
Julie K. Horton United States
Manoj Kumar Bhat India
Daniel H. Albert United States
Atsushi Kittaka relative to Daniela Gallo Italy Daniela Gallo's profile →
Citations per field
00.5×5.3×
Daniela Gallo · 1×
Citations per year

Countries citing papers authored by Atsushi Kittaka

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Kittaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Kittaka

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Kittaka. A scholar is included among the top collaborators of Atsushi Kittaka 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 Atsushi Kittaka. Atsushi Kittaka 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 1
3 1
4 6
5 1
6 7
7 4
8 3
9 23
10 12
11 15
12 12
13 8
14 14
15 32
16 9
17
[Recent progress of study on vitamin D analogs].
2
18 8
19 3
20
A Test for Normality Based on Generalized Entropy
1

About Atsushi Kittaka

Atsushi Kittaka is a scholar working on Pathology and Forensic Medicine, Genetics and Toxicology, having authored 186 papers that have together received 2.6k indexed citations. Recurring topics across this work include Vitamin D Research Studies (107 papers), Estrogen and related hormone effects (73 papers) and Biotin and Related Studies (34 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.4k citations), Genetics (878 citations) and Cell Biology (434 citations). Atsushi Kittaka has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Hiroaki Takayama, Tai C. Chen, Nozomi Saito, Toshie Fujishima, Yoshitomo Suhara, Toshiyuki Sakaki, Masashi Takano, Masaaki Kurihara, Toru Sugiyama and Shinobu Honzawa. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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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