Maki Asami

1.3k total citations
30 papers, 889 citations indexed

About

Maki Asami is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Maki Asami has authored 30 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Maki Asami's work include Pluripotent Stem Cells Research (6 papers), Epigenetics and DNA Methylation (5 papers) and CRISPR and Genetic Engineering (5 papers). Maki Asami is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), Epigenetics and DNA Methylation (5 papers) and CRISPR and Genetic Engineering (5 papers). Maki Asami collaborates with scholars based in Japan, United Kingdom and United States. Maki Asami's co-authors include Kiyokazu Agata, Tetsutaro Hayashi, Norito Shibata, Sayaka Higuchi, Anthony C.F. Perry, Toru Suzuki, Mitsuko Kosaka, Guangwei Sun, Brian Lam and Giles S.H. Yeo and has published in prestigious journals such as Nature Communications, Nature Materials and Development.

In The Last Decade

Maki Asami

27 papers receiving 859 citations

Peers

Maki Asami
Comparison fields: 5 of 96
  • Molecular Biology 685
  • Global and Planetary Change 203
  • Public Health, Environmental and Occupational Health 100
  • Genetics 100
  • Plant Science 93
Adam D. Langenbacher United States
Fabrice Daian France
Michio Fujiwara Japan
Susan Murphy United States
Andrew M. Glazer United States
Dominique Massey‐Harroche France
Maria Laura Idda Italy
Ian M. Sealy United Kingdom
Katharina Schipany Austria
Adam D. Langenbacher United States View profile →
Citations per field, relative to Maki Asami
Maki Asami · 1×
Citations per year, relative to Maki Asami
Maki Asami · 1×

Countries citing papers authored by Maki Asami

Since Specialization
Citations

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

Fields of papers citing papers by Maki Asami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maki Asami

This figure shows the co-authorship network connecting the top 25 collaborators of Maki Asami. A scholar is included among the top collaborators of Maki Asami 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 Maki Asami. Maki Asami 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
# Work Indexed citations
1 0
2 14
3 17
4 32
5 86
6 16
7 1
8 10
9 3
10 11
11 34
12 15
13 38
14 19
15
VISUALIZATION OF INFORMATION IN A PC TIME MANAGEMENT TOOL FOR UNIVERSITY STUDENTS : As a Case of Communication Design Studies
0
16 207
17 59
18 118
19
Hepatic eosinophilopoiesis from multipotent hemopoietic stem cells in Toxocara canis-infected mice.
3
20 5

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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