Liting Yan

979 citations
18 papers · 646 · h-index 7

Impact in

    • SARS-CoV-2 detection and testing
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • HIV/AIDS drug development and treatment 5
    • SARS-CoV-2 detection and testing 3
    • HIV Research and Treatment 4

Liting Yan

18 papers receiving 630 citations

Peers

Liting Yan
Comparison fields: 5 of 83
  • Infectious Diseases 403
  • Virology 55
  • Modeling and Simulation 22
  • General Dentistry 6
  • Biomedical Engineering 123
Replace Xingxiang Yang with:
Xingxiang Yang China
Felipe Pérez‐García Spain
Ruming Xie China
Jingna Xun China
Chengjie Ma China
Madeleine J. Bunders Germany
Céline Pellaton Switzerland
Jaiprasath Sachithanandham United States
Lauren Garnett Canada
Michele Sachs Italy
Liting Yan relative to Xingxiang Yang China Xingxiang Yang's profile →
Citations per field
00.5×3.2×
Xingxiang Yang · 1×
Citations per year

Countries citing papers authored by Liting Yan

Since Specialization
Citations

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

Fields of papers citing papers by Liting Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2020488
2 202239
3 202333
4 202121
5 202217
6 20217
7 20227
8 20225
9 20205
10 20214
11 20203
12 20203
13 20223
14 20213
15 20213
16 20222
17 20252
18 20211

About Liting Yan

Liting Yan is a scholar working on Infectious Diseases, Virology, Hepatology, Epidemiology and Emergency Medicine, having authored 18 papers that have together received 646 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (5 papers), HIV Research and Treatment (4 papers), SARS-CoV-2 detection and testing (3 papers), Liver physiology and pathology (3 papers), HIV-related health complications and treatments (2 papers), Immune Cell Function and Interaction (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Infectious Diseases (403 citations), Virology (55 citations), Modeling and Simulation (22 citations), General Dentistry (6 citations) and Biomedical Engineering (123 citations). Liting Yan has collaborated with scholars based in China. Frequent co-authors include Fujie Zhang, Fengting Yu, Guiju Gao, Linghang Wang, Fang Wang, Chianru Tan, Yong Guo, Yunxia Tang, Lingxiang Zhu and Sa Wang. Their work appears in journals such as Frontiers in Immunology, Infection and Drug Resistance, Journal of Antimicrobial Chemotherapy, JAIDS Journal of Acquired Immune Deficiency Syndromes and Frontiers in Oncology.

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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