Chen Hua

1.2k citations
49 papers · 813 · h-index 18

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • SARS-CoV-2 and COVID-19 Research
    • HIV/AIDS drug development and treatment

Papers in

Chen Hua

46 papers receiving 800 citations

Peers

Chen Hua
Comparison fields: 5 of 112
  • Virology 88
  • Infectious Diseases 151
  • Genetics 55
  • Hematology 50
  • Cancer Research 55
Replace Juan Carlos Arias with:
Juan Carlos Arias Colombia
Marcelo Nociari United States
Karen Douville United States
Fansheng Kong China
Pedro Faísca Portugal
Melissa Smith United States
Abhishek Kumar India
Mostafa Haji Molla Hoseini Iran
Julien Fassy France
Chen Hua relative to Juan Carlos Arias Colombia Juan Carlos Arias's profile →
Citations per field
00.5×
Juan Carlos Arias · 1×
Citations per year

Countries citing papers authored by Chen Hua

Since Specialization
Citations

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

Fields of papers citing papers by Chen Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002104
2 201865
3 201362
4 201857
5 201141
6 201734
7 201733
8 201726
9 202026
10 201725
11 201622
12 201422
13 201722
14 201721
15 201920
16 201420
17 201919
18
THE MORPHOLOGY AND ANATOMY OF THE HAUSTORIA OF THE HOLOPARASITIC ANGIOSPERM CUSCUTA CAMPESTRIS
201118
19 201216
20 201416

About Chen Hua

Chen Hua is a scholar working on Plant Science, Infectious Diseases, Organic Chemistry, Molecular Biology and Virology, having authored 49 papers that have together received 813 indexed citations. Recurring topics across this work include HIV Research and Treatment (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), HIV/AIDS drug development and treatment (4 papers), Animal Virus Infections Studies (3 papers), Influenza Virus Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Metal complexes synthesis and properties (3 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Virology (88 citations), Infectious Diseases (151 citations), Genetics (55 citations), Hematology (50 citations) and Cancer Research (55 citations). Chen Hua has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Lu Lu, Shibo Jiang, Wei Xu, Weihua Li, Xiaoliu Li, Yun Zhu, Sonny Ang, Lydia A. Polyakova, Galina Miasnikova and Róbert Královics. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Microbes and Infection, Viruses, AIDS and Journal of Fish Diseases.

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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