Shaoling Jin

482 citations
5 papers · 210 · h-index 5

Impact in

    • HIV/AIDS drug development and treatment
    • Tuberculosis Research and Epidemiology
    • Antifungal resistance and susceptibility
  • Epidemiology top 10%
    • Pneumocystis jirovecii pneumonia detection and treatment
    • Pneumonia and Respiratory Infections
    • Fungal Infections and Studies

Papers in

    • Pneumocystis jirovecii pneumonia detection and treatment 5
    • Pneumonia and Respiratory Infections 1
    • Tuberculosis Research and Epidemiology 4
    • HIV/AIDS drug development and treatment 3

Shaoling Jin

5 papers receiving 207 citations

Peers

Shaoling Jin
Comparison fields: 5 of 20
  • Infectious Diseases 152
  • Epidemiology 196
  • Parasitology 5
  • Cell Biology 11
  • Endocrinology 3
Replace Pham Thi Diep with:
Pham Thi Diep Vietnam
SRUTI S VELAMAKANNI United States
Milène Sasso France
Pojana Sriburee Thailand
Tânia Mara Varejão Strabelli Brazil
Laura Rosío Castañón-Olivares Mexico
Joan Rugemalila Tanzania
Cecilie Torp Andersen Norway
Dianne Gardam Australia
Amanda Ribeiro dos Santos Brazil
Shaoling Jin relative to Pham Thi Diep Vietnam Pham Thi Diep's profile →
Citations per field
00.5×1.5×1.9×
Pham Thi Diep · 1×
Citations per year

Countries citing papers authored by Shaoling Jin

Since Specialization
Citations

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

Fields of papers citing papers by Shaoling Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 1998118
2 200145
3 200322
4 199614
5 200111

About Shaoling Jin

Shaoling Jin is a scholar working on Epidemiology, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 5 papers that have together received 210 indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Tuberculosis Research and Epidemiology (4 papers), HIV/AIDS drug development and treatment (3 papers) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Infectious Diseases (152 citations), Epidemiology (196 citations), Parasitology (5 citations), Cell Biology (11 citations) and Endocrinology (3 citations). Shaoling Jin has collaborated with scholars based in United States, Denmark and Paraguay. Frequent co-authors include Chao-Hung Lee, Bettina Lundgren, Jannik Helweg‐Larsen, Jens Lundgren, Baozheng Li, Olga Matos, Marilyn S. Bartlett, James W. Smith, Antonietta Cargnel and Jang‐Jih Lu. Their work appears in journals such as Infection Genetics and Evolution, AIDS, Journal of Clinical Microbiology, Journal of Eukaryotic Microbiology and Clinical and Diagnostic Laboratory Immunology.

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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