Daichi Shigemizu

2.9k citations
52 papers · 1.5k indexed · h-index 23
Topics
Genetic Associations and Epidemiology (13 papers)Alzheimer's disease research and treatments (13 papers)Bioinformatics and Genomic Networks (8 papers)
Partner nations
JapanAustraliaFiji

In The Last Decade

Daichi Shigemizu

47 papers receiving 1.4k citations

Peers

Daichi Shigemizu
Comparison fields: 5 of 148
  • Molecular Biology 879
  • Genetics 257
  • Cancer Research 191
  • Physiology 179
  • Artificial Intelligence 135
Replace Wei Kong with:
Wei Kong China
Jingwen Yan United States
Elvira Agrón United States
Giulia Fiscon Italy
Zheng Yin United States
Wilson Wen Bin Goh Singapore
Dokyoon Kim United States
Pengyi Yang Australia
Kun Zhang United States
Zhi‐Ping Liu China
Daichi Shigemizu relative to Wei Kong China Wei Kong's profile →
Citations per field
00.5×4.5×
Wei Kong · 1×
Citations per year

Countries citing papers authored by Daichi Shigemizu

Since Specialization
Citations

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

Fields of papers citing papers by Daichi Shigemizu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daichi Shigemizu

This figure shows the co-authorship network connecting the top 25 collaborators of Daichi Shigemizu. A scholar is included among the top collaborators of Daichi Shigemizu 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 Daichi Shigemizu. Daichi Shigemizu 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 0
3 0
4 0
5 3
6 2
7 2
8 8
9 50
10 15
11 31
12 259
13 13
14 55
15 13
16 23
17
Abstract 13817: Clinical Significance of Whole Exome Analysis Using Next Generation Sequencing in the Genotype-negative Long-QT Syndrome
1
18 37
19 35
20 35

About Daichi Shigemizu

Daichi Shigemizu is a scholar working on Genetics, Physiology and Geriatrics and Gerontology, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (13 papers), Alzheimer's disease research and treatments (13 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Molecular Biology (879 citations), Cancer Research (191 citations) and Neurology (87 citations). Daichi Shigemizu has collaborated with scholars based in Japan, Australia and Fiji. Frequent co-authors include Tatsuhiko Tsunoda, Keith A. Boroevich, Alok Sharma, Edwin Vans, Shintaro Akiyama, Kouichi Ozaki, Shumpei Niida, Susumu Goto, Minoru Kanehisa and Yuki Moriya. Their work appears in journals such as Nucleic Acids Research, Circulation and PLoS ONE.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026