Yumi Kasai

2.7k citations
23 papers · 1.0k indexed · h-index 19
Topics
Virus-based gene therapy research (3 papers)Pharmacogenetics and Drug Metabolism (3 papers)Genomic variations and chromosomal abnormalities (3 papers)

In The Last Decade

Yumi Kasai

22 papers receiving 985 citations

Peers

Yumi Kasai
Comparison fields: 5 of 92
  • Molecular Biology 599
  • Genetics 249
  • Oncology 152
  • Pulmonary and Respiratory Medicine 141
  • Cancer Research 128
Replace Shigehiro Osada with:
Shigehiro Osada Japan
Bruno Moncharmont Italy
Michael E. Rusiniak United States
Nora Zizlsperger United States
Mohammed Taimi United States
Pepita Gimenez‐Bonafé Spain
Leticia Sansores-García United States
Junji Kishino Japan
John A. A. Ladias United States
Hélène Pendeville Belgium
Yumi Kasai relative to Shigehiro Osada Japan Shigehiro Osada's profile →
Citations per field
00.5×1.5×2.3×
Shigehiro Osada · 1×
Citations per year

Countries citing papers authored by Yumi Kasai

Since Specialization
Citations

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

Fields of papers citing papers by Yumi Kasai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yumi Kasai

This figure shows the co-authorship network connecting the top 25 collaborators of Yumi Kasai. A scholar is included among the top collaborators of Yumi Kasai 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 Yumi Kasai. Yumi Kasai 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 57
2 70
3 37
4 61
5 29
6 23
7 35
8 154
9 62
10 74
11 11
12 0
13 18
14 30
15
Specification of the Drosophila CNS midline cell lineage: direct control of single-minded transcription by dorsal/ventral patterning genes.
36
16 86
17
Protection from complement-mediated cytolysis in cross-species hepatocytes transfected with complement regulatory factor (HRF20) using retroviral vector.
1
18 21
19 74
20 2

About Yumi Kasai

Yumi Kasai is a scholar working on Genetics, Developmental Biology and Pharmacology, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Pharmacology (85 citations), Genetics (249 citations) and Molecular Biology (599 citations). Yumi Kasai has collaborated with scholars based in United States, Japan and South Africa. Frequent co-authors include Stephen T. Crews, Michael D. McLellan, Richard K. Wilson, Elaine R. Mardis, Robert J. Desnick, Robert G. Franks, Keith A. Wharton, Paul M. Lieberman, Inga Peter and John R. Nambu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development and Blood.

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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