Ying Du

1.7k citations
17 papers · 946 · h-index 10

Impact in

Papers in

    • Circular RNAs in diseases 4
    • Molecular Biology Techniques and Applications 2
    • Student Assessment and Feedback 4
    • Writing and Handwriting Education 3
    • Reflective Practices in Education 2

Ying Du

15 papers receiving 852 citations

Peers

Ying Du
Comparison fields: 5 of 111
  • Education 611
  • Developmental and Educational Psychology 240
  • Computer Science Applications 42
  • Language and Linguistics 77
  • Information Systems and Management 44
Replace Carol K. K. Chan with:
Carol K. K. Chan Hong Kong
Bin Shen China
Lorraine Stefani United Kingdom
Jo Ellen Roseman United States
Jonathon Reinhardt United States
Kennedy Kam Ho Chan Hong Kong
Alastair Pollitt United Kingdom
Jacqueline Leonard United States
Keith Wetzel United States
Renée S. Jansen Netherlands
Ying Du relative to Carol K. K. Chan Hong Kong Carol K. K. Chan's profile →
Citations per field
00.5×1.5×2.3×
Carol K. K. Chan · 1×
Citations per year

Countries citing papers authored by Ying Du

Since Specialization
Citations

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

Fields of papers citing papers by Ying Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2007236
2 2008174
3 2009129
4 2012110
5 2010103
6 202075
7 202144
8 202224
9 202122
10 202115
11 20159
12 20172
13 20241
14 20191
15 19961
16
A Content Analysis of Videoconference Integration Plans
20060
17 20250

About Ying Du

Ying Du is a scholar working on Molecular Biology, Education, Cancer Research, Immunology and Developmental and Educational Psychology, having authored 17 papers that have together received 946 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers), Student Assessment and Feedback (4 papers), Writing and Handwriting Education (3 papers), Reflective Practices in Education (2 papers), Molecular Biology Techniques and Applications (2 papers) and Innovative Teaching and Learning Methods (2 papers). The work is most often cited by research in Education (611 citations), Developmental and Educational Psychology (240 citations), Computer Science Applications (42 citations), Language and Linguistics (77 citations) and Information Systems and Management (44 citations). Ying Du has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Heidi Andrade, Xiaolei Wang, Xiaolei Wang, Yan Huang, Jan F. Prins, D. Neil Hayes, Amy Johnson, Pei Fen Kuan, Liza Makowski and Derek Y. Chiang. Their work appears in journals such as Journal of Hepatology, Frontiers in Cell and Developmental Biology, Oncology Reports, Practical assessment, research & evaluation and BMC Cancer.

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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