Yu‐Wen Chung‐Davidson

1.7k citations
50 papers · 821 indexed · h-index 20
Topics
Reproductive biology and impacts on aquatic species (15 papers)Aquaculture Nutrition and Growth (10 papers)Hormonal and reproductive studies (7 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Yu‐Wen Chung‐Davidson

49 papers receiving 804 citations

Peers

Yu‐Wen Chung‐Davidson
Comparison fields: 5 of 97
  • Molecular Biology 155
  • Aquatic Science 136
  • Nature and Landscape Conservation 135
  • Ecology 131
  • Cellular and Molecular Neuroscience 111
Replace Gabriella Chieffi Baccari with:
Gabriella Chieffi Baccari Italy
Raquel Ruivo Portugal
Bilal Amarneh United States
Akihiko Kashiwagi Japan
Michèle André France
Luiz Eduardo Maia Nery Brazil
Gen Kaneko United States
Young Chang Sohn South Korea
Xi Wu China
Isaac Adatto United States
Yu‐Wen Chung‐Davidson relative to Gabriella Chieffi Baccari Italy Gabriella Chieffi Baccari's profile →
Citations per field
00.5×5.4×
Gabriella Chieffi Baccari · 1×
Citations per year

Countries citing papers authored by Yu‐Wen Chung‐Davidson

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Wen Chung‐Davidson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Wen Chung‐Davidson. 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 Yu‐Wen Chung‐Davidson. The network helps show where Yu‐Wen Chung‐Davidson may publish in the future.

Co-authorship network of co-authors of Yu‐Wen Chung‐Davidson

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Wen Chung‐Davidson. A scholar is included among the top collaborators of Yu‐Wen Chung‐Davidson 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 Yu‐Wen Chung‐Davidson. Yu‐Wen Chung‐Davidson 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 1
2 2
3 3
4 10
5 5
6 37
7 20
8 15
9 13
10 10
11 8
12 32
13 8
14 27
15 20
16 31
17 41
18 28
19 11
20 25

About Yu‐Wen Chung‐Davidson

Yu‐Wen Chung‐Davidson is a scholar working on Physiology, Aquatic Science and Sensory Systems, having authored 50 papers that have together received 821 indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (15 papers), Aquaculture Nutrition and Growth (10 papers) and Hormonal and reproductive studies (7 papers). The work is most often cited by research in Physiology (105 citations), Aquatic Science (136 citations) and Sensory Systems (72 citations). Yu‐Wen Chung‐Davidson has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Weiming Li, Ke Li, Ugo Bussy, Huiyong Wang, Chu‐Yin Yeh, Mara Bryan, Jianfeng Ren, Christopher B. Rees, Mar Huertas and Sang‐Seon Yun. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

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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