Sukun Luo

640 citations
31 papers · 532 · h-index 13

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • interferon and immune responses
    • Immune Cell Function and Interaction

Papers in

    • HIV Research and Treatment 8
    • interferon and immune responses 3
    • Immunotherapy and Immune Responses 3
    • Immune Cell Function and Interaction 3

Sukun Luo

29 papers receiving 530 citations

Peers

Sukun Luo
Comparison fields: 5 of 65
  • Virology 96
  • Immunology 158
  • Epidemiology 179
  • Infectious Diseases 94
  • Cancer Research 62
Replace Abdul Ghafoor Khan with:
Abdul Ghafoor Khan United States
Philippe Metz Germany
Karel A. van Dort Netherlands
Heather A. Vincent United States
Sojan Abraham United States
Takaharu Ueno Japan
Leontios Pappas United States
Mayra L. Garcia United States
Elizabeth A. Thoryk United States
Andrea D. Lipińska Poland
Sukun Luo relative to Abdul Ghafoor Khan United States Abdul Ghafoor Khan's profile →
Citations per field
00.5×1.5×1.9×
Abdul Ghafoor Khan · 1×
Citations per year

Countries citing papers authored by Sukun Luo

Since Specialization
Citations

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

Fields of papers citing papers by Sukun Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201555
2 201252
3 201146
4 201340
5 201538
6 201536
7 201928
8 201425
9 201924
10 201923
11 201819
12 202018
13 201517
14 202013
15 202112
16 202012
17 201511
18 201710
19 20219
20 20187

About Sukun Luo

Sukun Luo is a scholar working on Virology, Immunology, Epidemiology, Cancer Research and Molecular Biology, having authored 31 papers that have together received 532 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (11 papers), HIV Research and Treatment (8 papers), Glycosylation and Glycoproteins Research (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Cancer-related molecular mechanisms research (3 papers), interferon and immune responses (3 papers), Immunotherapy and Immune Responses (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Virology (96 citations), Immunology (158 citations), Epidemiology (179 citations), Infectious Diseases (94 citations) and Cancer Research (62 citations). Sukun Luo has collaborated with scholars based in China, United Kingdom and Denmark. Frequent co-authors include Qinxue Hu, Mudan Zhang, Kai Hu, Wei Jin, Yalan Liu, George Edward Griffin, Robin J. Shattock, Tao Du, Xin Ting Huang and Xinmeng Guan. Their work appears in journals such as Virology, Frontiers in Immunology, The Journal of Immunology, Frontiers in Genetics and Journal of General Virology.

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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