Ling Lian

1.4k citations
69 papers · 998 · h-index 20

Impact in

Papers in

    • RNA Research and Splicing 14
    • Circular RNAs in diseases 8
    • Plant Molecular Biology Research 5
    • Plant-Microbe Interactions and Immunity 4

Ling Lian

65 papers receiving 983 citations

Peers

Ling Lian
Comparison fields: 5 of 114
  • Cancer Research 232
  • Animal Science and Zoology 129
  • Plant Science 273
  • Immunology 136
  • Microbiology 37
Replace Collette Britton with:
Collette Britton United Kingdom
Wei Xia China
Alexandre Rodrigues Caetano Brazil
Mireille Morisson France
Min Zhao China
Yihang Li China
Chunling Zhu China
Agata Józefiak Poland
Darren K. Griffin United Kingdom
Tongyan Zhao China
Ling Lian relative to Collette Britton United Kingdom Collette Britton's profile →
Citations per field
00.5×2.8×
Collette Britton · 1×
Citations per year

Countries citing papers authored by Ling Lian

Since Specialization
Citations

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

Fields of papers citing papers by Ling Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201486
2 201958
3 201249
4 201445
5 201238
6 202034
7 201332
8 201329
9 201028
10 202327
11 201526
12 201225
13 202023
14 201723
15 201621
16 202121
17 201221
18 201721
19 201420
20 202119

About Ling Lian

Ling Lian is a scholar working on Molecular Biology, Plant Science, Cancer Research, Epidemiology and Genetics, having authored 69 papers that have together received 998 indexed citations. Recurring topics across this work include RNA Research and Splicing (14 papers), Cancer-related molecular mechanisms research (12 papers), Circular RNAs in diseases (8 papers), Herpesvirus Infections and Treatments (7 papers), MicroRNA in disease regulation (7 papers), Plant Molecular Biology Research (5 papers), Animal Genetics and Reproduction (5 papers) and Plant-Microbe Interactions and Immunity (4 papers). The work is most often cited by research in Cancer Research (232 citations), Animal Science and Zoology (129 citations), Plant Science (273 citations), Immunology (136 citations) and Microbiology (37 citations). Ling Lian has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Ning Yang, Lujiang Qu, Huaan Xie, Jianfu Zhang, Lujiang Qu, Jiuzhou Song, Susan J. Lamont, Changjun Liu, Qiuhua Cai and Jiangxia Zheng. Their work appears in journals such as Poultry Science, Scientific Reports, PLoS ONE, BMC Plant Biology and Chinese Science Bulletin (Chinese Version).

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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