Zi Liang

1.1k citations
41 papers · 811 · h-index 17

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 15
    • Circular RNAs in diseases 9
    • MicroRNA in disease regulation 8
    • Cancer-related molecular mechanisms research 7

Zi Liang

41 papers receiving 806 citations

Peers

Zi Liang
Comparison fields: 5 of 81
  • Insect Science 199
  • Cancer Research 151
  • Pollution 111
  • Molecular Biology 463
  • Immunology 133
Replace A. M. G. Ibelli with:
A. M. G. Ibelli Brazil
Yilan Zhang China
Michèle Weiss‐Gayet France
Sudhakar Sivasubramaniam India
Steve D. Oh United States
Mengmeng Yi China
Da Lin China
Julieta Rodini Engrácia de Moraes Brazil
William Grey United States
Zi Liang relative to A. M. G. Ibelli Brazil A. M. G. Ibelli's profile →
Citations per field
00.5×1.5×1.8×
A. M. G. Ibelli · 1×
Citations per year

Countries citing papers authored by Zi Liang

Since Specialization
Citations

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

Fields of papers citing papers by Zi Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201792
2 201577
3 201671
4 201745
5 201841
6 201735
7 202132
8 202130
9 201730
10 202027
11 202226
12 201526
13 201822
14 201922
15 202021
16 202219
17 201816
18 201915
19 202015
20 201712

About Zi Liang

Zi Liang is a scholar working on Molecular Biology, Cancer Research, Genetics, Insect Science and Plant Science, having authored 41 papers that have together received 811 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (15 papers), Circular RNAs in diseases (9 papers), MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (7 papers), Virus-based gene therapy research (5 papers), Silkworms and Sericulture Research (5 papers), Viral Infections and Immunology Research (5 papers) and Plant Virus Research Studies (4 papers). The work is most often cited by research in Insect Science (199 citations), Cancer Research (151 citations), Pollution (111 citations), Molecular Biology (463 citations) and Immunology (133 citations). Zi Liang has collaborated with scholars based in China, India and United States. Frequent co-authors include Xiaolong Hu, Guangli Cao, Chengliang Gong, Renyu Xue, Min Zhu, Liyuan Zhu, Sulan Kuang, Fei Chen, Bo Liu and Xinbo Sun. Their work appears in journals such as Applied Microbiology and Biotechnology, Aquaculture, International Journal of Biological Macromolecules, Molecular Immunology and Scientific Reports.

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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