Weida Huang

845 citations
50 papers · 692 · h-index 16

Impact in

Papers in

    • RNA Interference and Gene Delivery 12
    • Advanced biosensing and bioanalysis techniques 4
    • Heat shock proteins research 4
    • Virus-based gene therapy research 6

Weida Huang

48 papers receiving 678 citations

Peers

Weida Huang
Comparison fields: 5 of 91
  • Biological Psychiatry 41
  • Cancer Research 118
  • Molecular Biology 467
  • Biotechnology 34
  • Immunology 81
Replace Robert A. Saxton with:
Robert A. Saxton United States
Hyun‐Woo Suh South Korea
Jatin Nandania Finland
Ιωάννα Πέττα Belgium
Kyoon Eon Kim South Korea
Jacek Bigda Poland
Hao Cheng China
Silvia Matteoni Italy
A.M. Joubert South Africa
Kuan Onn Tan Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Weida Huang

Since Specialization
Citations

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

Fields of papers citing papers by Weida Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201075
2 201159
3 200052
4 200542
5 200331
6 200927
7 200525
8
Purification and characterization of a novel chitinase from Bacillus brevis.
200225
9 200824
10 200622
11 202221
12 201321
13 200618
14 200918
15 200716
16 200615
17 200614
18 201212
19 200012
20 200512

About Weida Huang

Weida Huang is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Cancer Research, having authored 50 papers that have together received 692 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (12 papers), Virus-based gene therapy research (6 papers), MicroRNA in disease regulation (5 papers), Photoreceptor and optogenetics research (5 papers), Hepatitis B Virus Studies (4 papers), Immunotherapy and Immune Responses (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Heat shock proteins research (4 papers). The work is most often cited by research in Biological Psychiatry (41 citations), Cancer Research (118 citations), Molecular Biology (467 citations), Biotechnology (34 citations) and Immunology (81 citations). Weida Huang has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Jie Hong, Zhikang Qian, Honghai Zhang, Jianfeng Xu, Chang Tan, Qing Yang, Chunxiang Kuang, Yingchun Zhao, Xiaobin Zeng and Lin Li. Their work appears in journals such as Virus Research, Biochemical and Biophysical Research Communications, Immunological Investigations, The Journal of Biochemistry and Redox Report.

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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