Hua Yu

1.5k citations
33 papers · 993 · h-index 17

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • SARS-CoV-2 detection and testing
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • RNA modifications and cancer 4
    • Advanced biosensing and bioanalysis techniques 4
    • Circular RNAs in diseases 3
    • DNA and Nucleic Acid Chemistry 3
    • Cancer-related molecular mechanisms research 6

Hua Yu

32 papers receiving 976 citations

Peers

Hua Yu
Comparison fields: 5 of 112
  • Cancer Research 191
  • Infectious Diseases 220
  • Molecular Biology 419
  • Emergency Medical Services 30
  • General Dentistry 7
Replace Mathilda Mandel with:
Mathilda Mandel Israel
Hani Kim United States
Chen Shi China
Hin Fung Tsang Hong Kong
Anke Richters Netherlands
Xiaorui Chen China
Zhixin Liang China
Soyoon Hwang South Korea
Nima Hemmat Iran
Xiaojie Tan China
Hua Yu relative to Mathilda Mandel Israel Mathilda Mandel's profile →
Citations per field
00.5×5.2×
Mathilda Mandel · 1×
Citations per year

Countries citing papers authored by Hua Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hua Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020255
2 201196
3 201884
4 200959
5 201953
6 201852
7 201242
8 202040
9 201937
10 201029
11 202228
12 201124
13 202222
14 200620
15 202218
16 202018
17 202018
18 201414
19 202113
20 201913

About Hua Yu

Hua Yu is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Epidemiology and Neurology, having authored 33 papers that have together received 993 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Circular RNAs in diseases (3 papers), DNA and Nucleic Acid Chemistry (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), SARS-CoV-2 detection and testing (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Cancer Research (191 citations), Infectious Diseases (220 citations), Molecular Biology (419 citations), Emergency Medical Services (30 citations) and General Dentistry (7 citations). Hua Yu has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Angus Hucknall, Vinalia Tjong, Ashutosh Chilkoti, Junling Zhou, Jiawei Wu, Peifeng Li, He Lin, Hong Pu, Guo Si and Zhenglin Yang. Their work appears in journals such as Frontiers in Physiology, Analytical Chemistry, Analytical Biochemistry, Epidemiology and Infection and Clinical and Experimental Pharmacology and Physiology.

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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