Daniel S.C. Yang

2.6k citations
37 papers · 2.1k indexed · h-index 19

Daniel S.C. Yang

37 papers receiving 2.0k citations

Peers

Daniel S.C. Yang
Comparison fields: 5 of 117
  • Ecology 464
  • Biomaterials 197
  • Molecular Medicine 70
  • Aquatic Science 95
  • Molecular Biology 874
Replace Stéphane M. Gagné with:
Stéphane M. Gagné Canada
Alexei F. Licea-Navarro Mexico
George B. Chapman United States
Kyu‐Ho Lee South Korea
Willi Salvenmoser Austria
Koji Nagata Japan
Alan S. Rudolph United States
Robert N. Ben Canada
Takashi Takagi Japan
Donat-P. Häder Germany
Daniel S.C. Yang relative to Stéphane M. Gagné Canada Stéphane M. Gagné's profile →
Citations per field
00.5×3.0×
Stéphane M. Gagné · 1×
Citations per year

Countries citing papers authored by Daniel S.C. Yang

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S.C. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S.C. Yang. 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 Daniel S.C. Yang. The network helps show where Daniel S.C. Yang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20204
2 20093
3 20085
4 200718
5 200476
6 2001166
7 200028
8 19998
9 199911
10 1998100
11 199832
12 1997189
13 199710
14 199646
15 199530
16 199592
17 19948
18 1992206
19 19924
20 19886

About Daniel S.C. Yang

Daniel S.C. Yang is a scholar working on Aquatic Science, Cellular and Molecular Neuroscience, Physiology, Ecology and Animal Science and Zoology, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (16 papers), Neurobiology and Insect Physiology Research (11 papers), Aquaculture Nutrition and Growth (6 papers), Meat and Animal Product Quality (5 papers), RNA and protein synthesis mechanisms (4 papers), Ion channel regulation and function (4 papers), Enzyme Structure and Function (3 papers) and nanoparticles nucleation surface interactions (3 papers). The work is most often cited by research in Ecology (464 citations), Biomaterials (197 citations), Molecular Medicine (70 citations), Aquatic Science (95 citations) and Molecular Biology (874 citations). Daniel S.C. Yang has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Frank Sicheri, Quyen Q. Hoang, Andrew Howard, Wai‐Ching Hon, Choy L. Hew, Marilyn Griffith, Paul Ala, Barbara A. Moffatt, Zhengjun Li and Fei Xiong. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Journal of Molecular Biology, PLANT PHYSIOLOGY and European Journal of Biochemistry.

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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