Keisuke Nakajima

1.8k citations
39 papers · 1.5k indexed · h-index 20
Topics
CRISPR and Genetic Engineering (9 papers)Physiological and biochemical adaptations (7 papers)Aquaculture disease management and microbiota (4 papers)
Partner nations
JapanUnited States

In The Last Decade

Keisuke Nakajima

38 papers receiving 1.4k citations

Peers

Keisuke Nakajima
Comparison fields: 5 of 98
  • Molecular Biology 657
  • Pharmacology 245
  • Cellular and Molecular Neuroscience 232
  • Plant Science 230
  • Endocrinology, Diabetes and Metabolism 202
Replace José R. Bayascas with:
José R. Bayascas Spain
Margherita Piccolella Italy
Naoya Takeda Japan
Lauro Sumoy Spain
Hyuk Bang Kwon South Korea
Ernesto Guzmán United States
Michael R. Steele United States
D O Clary United States
Ulrich Drews Germany
Sara Neuman Israel
Keisuke Nakajima relative to José R. Bayascas Spain José R. Bayascas's profile →
Citations per field
00.5×4.5×
José R. Bayascas · 1×
Citations per year

Countries citing papers authored by Keisuke Nakajima

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Nakajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisuke Nakajima

This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Nakajima. A scholar is included among the top collaborators of Keisuke 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 Keisuke Nakajima. Keisuke Nakajima 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 1
3 2
4 10
5 28
6 13
7 22
8 52
9 20
10 71
11 4
12 11
13 22
14 38
15 34
16 64
17 8
18 88
19 74
20 90

About Keisuke Nakajima

Keisuke Nakajima is a scholar working on Cell Biology, Ecology and Microbiology, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Physiological and biochemical adaptations (7 papers) and Aquaculture disease management and microbiota (4 papers). The work is most often cited by research in Pharmacology (245 citations), Cellular and Molecular Neuroscience (232 citations) and Endocrinology, Diabetes and Metabolism (202 citations). Keisuke Nakajima has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshio Yaoita, Takayuki Sugiura, Saori Oka, Seishi Kishimoto, Atsushi Yamashita, Kenta Fujimoto, Atsushi Takahashi, Toshihiko Hayashi, Toshio Nishiyama and Naoki Tominaga. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Endocrinology.

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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