Daryi Wang

1.1k citations
40 papers · 766 · h-index 17

Impact in

    • Aquaculture Nutrition and Growth
  • Ecology top 10%
    • Microbial Community Ecology and Physiology

Papers in

    • Gut microbiota and health 15
    • Genomics and Chromatin Dynamics 7
    • Fungal and yeast genetics research 5
    • Genomics and Phylogenetic Studies 4
    • RNA Research and Splicing 4
    • Microbial Community Ecology and Physiology 7

Daryi Wang

40 papers receiving 751 citations

Peers

Daryi Wang
Comparison fields: 5 of 103
  • Aquatic Science 80
  • Ecology 189
  • Immunology 144
  • Molecular Biology 436
  • Microbiology 34
Replace Chris C. R. Smith with:
Chris C. R. Smith United States
Peter Takáč Slovakia
Jacob Agerbo Rasmussen Denmark
Víctor H. Olavarría Chile
Yunlei Li China
Bharat Bhusan Patnaik South Korea
João Paulo Matos Santos Lima Brazil
Kristina Ulrich Germany
Quanxin Gao China
Chao Zhao China
Daryi Wang relative to Chris C. R. Smith United States Chris C. R. Smith's profile →
Citations per field
00.5×2.6×
Chris C. R. Smith · 1×
Citations per year

Countries citing papers authored by Daryi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Daryi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daryi Wang, 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 Daryi Wang Line = papers co-authored together Daryi Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201774
2 201567
3 202059
4 201658
5 201655
6 200737
7 200930
8 200729
9 201726
10 201825
11 202025
12 201524
13 201920
14 200320
15 201720
16 200917
17 202016
18 201515
19 200212
20 202012

About Daryi Wang

Daryi Wang is a scholar working on Molecular Biology, Ecology, Genetics, Immunology and Global and Planetary Change, having authored 40 papers that have together received 766 indexed citations. Recurring topics across this work include Gut microbiota and health (15 papers), Genomics and Chromatin Dynamics (7 papers), Microbial Community Ecology and Physiology (7 papers), Fungal and yeast genetics research (5 papers), Marine and fisheries research (5 papers), Genomics and Phylogenetic Studies (4 papers), RNA Research and Splicing (4 papers) and Aquaculture disease management and microbiota (4 papers). The work is most often cited by research in Aquatic Science (80 citations), Ecology (189 citations), Immunology (144 citations), Molecular Biology (436 citations) and Microbiology (34 citations). Daryi Wang has collaborated with scholars based in Taiwan, United States and Malaysia. Frequent co-authors include Grace Tzun-Wen Shaw, Francis Cheng-Hsuan Weng, Po‐Cheng Chen, Cheng-Yu Chen, Tzong-Der Tzeng, Yi‐Ju Yang, Tzi‐Yuan Wang, Huai‐Kuang Tsai, Wen Dar Jean and Yi‐Ying Chen. Their work appears in journals such as BMC Genomics, PLoS ONE, Scientific Reports, Parasitology Research and Comparative Biochemistry and Physiology Part C Toxicology & 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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