Yuying Wei

457 citations
38 papers · 343 · h-index 10

Impact in

  • Biochemistry top 10%
    • Sulfur Compounds in Biology
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Advanced biosensing and bioanalysis techniques 3
    • RNA modifications and cancer 3
    • RNA Interference and Gene Delivery 2
    • Cancer-related molecular mechanisms research 3

Yuying Wei

33 papers receiving 339 citations

Peers

Yuying Wei
Comparison fields: 5 of 87
  • Biochemistry 48
  • Cancer Research 72
  • Complementary and Manual Therapy 7
  • Spectroscopy 48
  • Immunology 52
Replace Amaia Marcilla-Etxenike with:
Amaia Marcilla-Etxenike Spain
Zhongping Liao United States
Ayşe Nur Polat Germany
Rory K. Morgan United States
Sabine Pérès France
William Xie United States
Emily Wilkerson United States
Diego Garrido Ruiz United States
Benjamin D. Stein United States
Noemi Moroni Italy
Yuying Wei relative to Amaia Marcilla-Etxenike Spain Amaia Marcilla-Etxenike's profile →
Citations per field
00.5×
Amaia Marcilla-Etxenike · 1×
Citations per year

Countries citing papers authored by Yuying Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yuying Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201246
2 201343
3 201035
4 201934
5 202224
6 202222
7 201521
8 202119
9 201714
10 201213
11 20129
12 20229
13 20249
14 20095
15 20234
16 20244
17 20244
18 20123
19 20243
20 20243

About Yuying Wei

Yuying Wei is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Cell Biology and Biochemistry, having authored 38 papers that have together received 343 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (3 papers), Cancer-related molecular mechanisms research (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Sulfur Compounds in Biology (3 papers), RNA modifications and cancer (3 papers), Hepatitis B Virus Studies (2 papers), Molecular Sensors and Ion Detection (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Biochemistry (48 citations), Cancer Research (72 citations), Complementary and Manual Therapy (7 citations), Spectroscopy (48 citations) and Immunology (52 citations). Yuying Wei has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Boquan Jin, Kun Yang, Chaojun Song, Angang Yang, Junyan Ma, Dan Meng, Zhenxing Zhang, Yuanjie Sun, Xiangtao Kong and Zhuwei Xu. Their work appears in journals such as BMC Pulmonary Medicine, Analytical Chemistry, Industrial Health, Gene and Environmental Fluid Mechanics.

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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