Daisuke Doi

44 papers receiving 2.9k citations

Hit Papers

Human iPS cell-derived dopaminergic neurons function in a primate Parkinson’s disease model 2017 · 488 citations
4882014202620182022100200300400

Peers

Daisuke Doi
Comparison fields: 5 of 106
  • Developmental Neuroscience 382
  • Cellular and Molecular Neuroscience 955
  • Molecular Biology 2.2k
  • Neurology 293
  • Genetics 187
Replace Gist F. Croft with:
Gist F. Croft United States
Akio Iwanami Japan
Jihwan Song South Korea
Jeanette M. Cunningham United States
Yonehiro Kanemura Japan
Paul J. Tesar United States
Karin Forsberg‐Nilsson Sweden
Shigemi Hayashi United States
Joshua D. Wythe United States
Quenten Schwarz Australia
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Citations per field
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Gist F. Croft · 1×
Citations per year

Countries citing papers authored by Daisuke Doi

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daisuke Doi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daisuke Doi Line = papers co-authored together Daisuke Doi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Human iPS cell-derived dopaminergic neurons function in a primate Parkinson’s disease model
Hit paper breakdown →
2017488
2
A novel efficient feeder-free culture system for the derivation of human induced pluripotent stem cells
Hit paper breakdown →
2014480
3 2014321
4 2020223
5 2013208
6 2017183
7 2007134
8 2012132
9 2010129
10 201198
11 201677
12 200243
13 201635
14 200134
15 201232
16 200232
17 200032
18 200628
19 201728
20 201526

About Daisuke Doi

Daisuke Doi is a scholar working on Developmental Neuroscience, Obstetrics and Gynecology, Reproductive Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 46 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (20 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), CRISPR and Genetic Engineering (9 papers), Pregnancy and Medication Impact (4 papers), Pregnancy and preeclampsia studies (4 papers), 3D Printing in Biomedical Research (4 papers), Reproductive System and Pregnancy (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Developmental Neuroscience (382 citations), Cellular and Molecular Neuroscience (955 citations), Molecular Biology (2.2k citations), Neurology (293 citations) and Genetics (187 citations). Daisuke Doi has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include Jun Takahashi, Asuka Morizane, Tetsuhiro Kikuchi, Masato Nakagawa, Hirotaka Onoe, Takuya Hayashi, Kiyotoshi Sekiguchi, Malin Parmar, Keisuke Okita and Shinya Yamanaka. Their work appears in journals such as Stem Cell Reports, Gynecologic and Obstetric Investigation, Nature Communications, Journal of Parkinson s Disease and American Journal of Obstetrics and Gynecology.

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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