Gen Kaneko

2.1k total citations
120 papers, 1.4k citations indexed

About

Gen Kaneko is a scholar working on Aquatic Science, Molecular Biology and Immunology. According to data from OpenAlex, Gen Kaneko has authored 120 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Aquatic Science, 32 papers in Molecular Biology and 29 papers in Immunology. Recurrent topics in Gen Kaneko's work include Aquaculture Nutrition and Growth (47 papers), Aquaculture disease management and microbiota (27 papers) and Physiological and biochemical adaptations (24 papers). Gen Kaneko is often cited by papers focused on Aquaculture Nutrition and Growth (47 papers), Aquaculture disease management and microbiota (27 papers) and Physiological and biochemical adaptations (24 papers). Gen Kaneko collaborates with scholars based in United States, Japan and Thailand. Gen Kaneko's co-authors include Shugo Watabe, Ermeng Yu, Hideki Ushio, Tatsuki Yoshinaga, Jingjing Tian, Jun Xie, Shigeharu Kinoshita, Katsumi Tsukamoto, Wangbao Gong and Hong Ji and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Gen Kaneko

113 papers receiving 1.4k citations

Peers

Gen Kaneko
Comparison fields: 5 of 100
  • Aquatic Science 579
  • Molecular Biology 389
  • Immunology 337
  • Ecology 309
  • Animal Science and Zoology 221
Replace Neelakanteswar Aluru with:
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Yongxu Cheng China
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Matthew Sprague United Kingdom
Jeffrey R. Hazel United States
J. Nemcsók Hungary
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Neelakanteswar Aluru United States View profile →
Citations per field, relative to Gen Kaneko
Gen Kaneko · 1×
Citations per year, relative to Gen Kaneko
Gen Kaneko · 1×

Countries citing papers authored by Gen Kaneko

Since Specialization
Citations

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

Fields of papers citing papers by Gen Kaneko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen Kaneko

This figure shows the co-authorship network connecting the top 25 collaborators of Gen Kaneko. A scholar is included among the top collaborators of Gen Kaneko 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 Gen Kaneko. Gen Kaneko 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 1
2 1
3 1
4 1
5 7
6 1
7 6
8 9
9 1
10 0
11 4
12 13
13 3
14 6
15 1
16
Ultrastructure of Ovarian Follicles and Testes in Zebra-snout Seahorse Hippocampus barbouri (Jordan & Richardson, 1908) under Aquaculture Conditions
1
17 21
18 16
19 1
20
Molecular phylogeny of the rotifers with two Indonesian Brachionus lineages
14

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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