Maiko Nakajima

4.9k citations
15 papers · 3.1k indexed · 2 hit papers · h-index 11
Topics
Marine and coastal plant biology (5 papers)Polar Research and Ecology (4 papers)Plant Molecular Biology Research (4 papers)
Partner nations
JapanVietnamItaly

In The Last Decade

Maiko Nakajima

14 papers receiving 3.0k citations

Hit Papers

Monitoring the expression profiles of 7000 Arabidopsis ge...20022026201020182002200250010001.5k

Peers

Maiko Nakajima
Comparison fields: 5 of 87
  • Plant Science 2.5k
  • Molecular Biology 1.7k
  • Genetics 260
  • Oceanography 136
  • Ecology 121
Replace Katsuyuki T. Yamato with:
Katsuyuki T. Yamato Japan
Wilhelm Boland Germany
Erika Asamizu Japan
Anthony Koutoulis Australia
Dong‐Woog Choi South Korea
Tomohiro Kiyosue Japan
Rongcheng Lin China
Sabine Kahlau Germany
Yoshiharu Y. Yamamoto Japan
Joel A. Kreps United States
Maiko Nakajima relative to Katsuyuki T. Yamato Japan Katsuyuki T. Yamato's profile →
Citations per field
00.5×1.5×1.8×
Katsuyuki T. Yamato · 1×
Citations per year

Countries citing papers authored by Maiko Nakajima

Since Specialization
Citations

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

Fields of papers citing papers by Maiko Nakajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maiko Nakajima

This figure shows the co-authorship network connecting the top 25 collaborators of Maiko Nakajima. A scholar is included among the top collaborators of Maiko Nakajima 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 Maiko Nakajima. Maiko Nakajima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 45
2 8
3 174
4 18
5 194
6 104
7
[Arabidopsis functional genomics using full-length cDNAs].
1
8 83
9
Functional Annotation of a Full-Length Arabidopsis cDNA Collectionbreakdown →
514
10
Monitoring the expression profiles of 7000 Arabidopsis genes under drought, cold and high‐salinity stresses using a full‐length cDNA microarraybreakdown →
1536
11 32
12 22
13 376
14 6
15 1

About Maiko Nakajima

Maiko Nakajima is a scholar working on Oceanography, Plant Science and Ecology, having authored 15 papers that have together received 3.1k indexed citations. Recurring topics across this work include Marine and coastal plant biology (5 papers), Polar Research and Ecology (4 papers) and Plant Molecular Biology Research (4 papers). The work is most often cited by research in Plant Science (2.5k citations), Molecular Biology (1.7k citations) and Oceanography (136 citations). Maiko Nakajima has collaborated with scholars based in Japan, Vietnam and Italy. Frequent co-authors include Motoaki Seki, Mari Narusaka, Junko Ishida, Akiko Enju, Kazuo Shinozaki, Masakazu Satou, Kenji Akiyama, Tetsuya Sakurai, Asako Kamiya and Piero Carninci. Their work appears in journals such as Science, Journal of Biological Chemistry and The Plant Journal.

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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