F.A.A. Weyts

1.3k citations
14 papers · 1.1k · h-index 13

Impact in

    • Aquaculture Nutrition and Growth
  • Immunology top 5%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms

Papers in

    • Aquaculture disease management and microbiota 8
    • Invertebrate Immune Response Mechanisms 3
    • Immune Response and Inflammation 2
    • Aquaculture Nutrition and Growth 5

F.A.A. Weyts

14 papers receiving 1.1k citations

Peers

F.A.A. Weyts
Comparison fields: 5 of 96
  • Aquatic Science 378
  • Immunology 619
  • Physiology 87
  • Ecology 264
  • Orthopedics and Sports Medicine 79
Replace Toshio Sekiguchi with:
Toshio Sekiguchi Japan
Elgar Susanne Quabius Germany
Tasuku Watanabe Japan
E.J. Geven Netherlands
Jean‐Charles Gabillard France
Chien‐Chung Kuo Taiwan
Francesca Benato Italy
Ji Yong Choi South Korea
Pierre‐Yves Rescan France
Leonie F. A. Huitema Netherlands
F.A.A. Weyts relative to Toshio Sekiguchi Japan Toshio Sekiguchi's profile →
Citations per field
00.5×4.0×
Toshio Sekiguchi · 1×
Citations per year

Countries citing papers authored by F.A.A. Weyts

Since Specialization
Citations

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

Fields of papers citing papers by F.A.A. Weyts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.A.A. Weyts. 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 F.A.A. Weyts. The network helps show where F.A.A. Weyts may publish in the future.

Co-authors

The 25 scholars most cited alongside F.A.A. Weyts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F.A.A. Weyts Line = papers co-authored together F.A.A. Weyts links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1999199
2 2006126
3 2003111
4 1998103
5 1998103
6 199974
7 199569
8 199768
9 200264
10 199862
11 200449
12 199749
13 200422
14 20039

About F.A.A. Weyts

F.A.A. Weyts is a scholar working on Immunology, Aquatic Science, Molecular Biology, Cell Biology and Pathology and Forensic Medicine, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (8 papers), Aquaculture Nutrition and Growth (5 papers), Invertebrate Immune Response Mechanisms (3 papers), Bone Metabolism and Diseases (3 papers), Physiological and biochemical adaptations (2 papers), Immune Response and Inflammation (2 papers), Reproductive biology and impacts on aquatic species (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Aquatic Science (378 citations), Immunology (619 citations), Physiology (87 citations), Ecology (264 citations) and Orthopedics and Sports Medicine (79 citations). F.A.A. Weyts has collaborated with scholars based in Netherlands, Japan and United States. Frequent co-authors include B.M.L. Verburg-van Kemenade, Gert Flik, Johannes P.T.M. van Leeuwen, Nicholas Cohen, Harrie Weinans, J.H.W.M. Rombout, Ruud Niesing, Hideki Chiba, Barbara F. Nowak and Huibert A. P. Pols. Their work appears in journals such as Journal of Cellular Biochemistry, Fish & Shellfish Immunology, Brain Behavior and Immunity, Calcified Tissue International and Biochemical Pharmacology.

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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