Gen Kaneko
- Aquatic Science top 0.5%
- Aquaculture Nutrition and Growth 47
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 13
- Physiology top 2%
- Reproductive biology and impacts on aquatic species 17
- Adipose Tissue and Metabolism 14
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality 12
- Immunology top 10%
- Aquaculture disease management and microbiota 27
-
- Physiological and biochemical adaptations 24
-
- Environmental Toxicology and Ecotoxicology 14
- Co-authors
- Shugo WatabeErmeng YuHideki UshioTatsuki YoshinagaJingjing TianJun XieShigeharu KinoshitaKatsumi Tsukamoto
- Cited by
- Aquatic ScienceAgingPhysiology
- Journals
- SHILAP Revista de lepidopterología (4 papers)PLoS ONE (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesJapanThailand
In The Last Decade
Gen Kaneko
113 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Aquatic Science 579
- Aging 103
- Physiology 126
- Animal Science and Zoology 221
- Immunology 337
Countries citing papers authored by Gen Kaneko
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
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
The 25 scholars most cited alongside Gen Kaneko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 6 | |
| 15 | 2022 | 1 | |
| 16 | Ultrastructure of Ovarian Follicles and Testes in Zebra-snout Seahorse Hippocampus barbouri (Jordan & Richardson, 1908) under Aquaculture Conditions | 2021 | 1 |
| 17 | 2016 | 21 | |
| 18 | 2013 | 16 | |
| 19 | 2012 | 1 | |
| 20 | Molecular phylogeny of the rotifers with two Indonesian Brachionus lineages | 2004 | 14 |
About Gen Kaneko
Gen Kaneko is a scholar working on Aquatic Science, Aging and Physiology, having authored 120 papers that have together received 1.4k indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (47 papers), Aquaculture disease management and microbiota (27 papers), Physiological and biochemical adaptations (24 papers), Reproductive biology and impacts on aquatic species (17 papers), Environmental Toxicology and Ecotoxicology (14 papers), Adipose Tissue and Metabolism (14 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers) and Meat and Animal Product Quality (12 papers). The work is most often cited by research in Aquatic Science (579 citations), Aging (103 citations) and Physiology (126 citations). Gen Kaneko has collaborated with scholars based in United States, Japan and Thailand. Frequent co-authors include Shugo Watabe, Ermeng Yu, Hideki Ushio, Tatsuki Yoshinaga, Jingjing Tian, Jun Xie, Shigeharu Kinoshita, Katsumi Tsukamoto, Wangbao Gong and Hong Ji. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.