Ling Su

3.9k citations
81 papers · 2.3k · h-index 23

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • Plant Gene Expression Analysis 6
    • Plant biochemistry and biosynthesis 6
    • HIV/AIDS Research and Interventions 13
    • HIV/AIDS drug development and treatment 12

Ling Su

77 papers receiving 2.3k citations

Peers

Ling Su
Comparison fields: 5 of 101
  • Virology 536
  • Infectious Diseases 443
  • Plant Science 693
  • Biochemistry 92
  • Molecular Biology 959
Replace Jean‐François Arrighi with:
Jean‐François Arrighi France
Diane Bimczok United States
Ania M. Owsianka United Kingdom
Meihan Nonoyama United States
Kee‐Jong Hong South Korea
Marion Dupuis France
Nicolás Villegas‐Sepúlveda Mexico
Xiaofeng Wang China
Olivier Humbert United States
Adrien Breiman France
Ling Su relative to Jean‐François Arrighi France Jean‐François Arrighi's profile →
Citations per field
00.5×10×13.1×
Jean‐François Arrighi · 1×
Citations per year

Countries citing papers authored by Ling Su

Since Specialization
Citations

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

Fields of papers citing papers by Ling Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000251
2 2016221
3 2017203
4 2018132
5 2018120
6 2016112
7 2019108
8 2019107
9 201483
10 202163
11 201361
12 202145
13 201441
14 202037
15 201836
16 202034
17 202234
18 201329
19 202129
20 201928

About Ling Su

Ling Su is a scholar working on Molecular Biology, Infectious Diseases, Plant Science, Virology and Epidemiology, having authored 81 papers that have together received 2.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), HIV/AIDS Research and Interventions (13 papers), HIV/AIDS drug development and treatment (12 papers), HIV, Drug Use, Sexual Risk (7 papers), Plant Gene Expression Analysis (6 papers), Plant biochemistry and biosynthesis (6 papers), Plant Molecular Biology Research (5 papers) and GABA and Rice Research (4 papers). The work is most often cited by research in Virology (536 citations), Infectious Diseases (443 citations), Plant Science (693 citations), Biochemistry (92 citations) and Molecular Biology (959 citations). Ling Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiao‐Fei Wang, Xiaolin Wu, Yu‐Jin Hao, Chun‐Xiang You, Jian‐Ping An, Stephen H. Hughes, Yiming Shao, Tao Guo, Holger Melzl and Ralf Wagner. Their work appears in journals such as BMC Infectious Diseases, PLoS ONE, Infection and Drug Resistance, Frontiers in Public Health and Frontiers in Plant Science.

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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