Yan Ling
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Tuberculosis Research and Epidemiology 15
- HIV/AIDS drug development and treatment 2
- Epidemiology 10
- Mycobacterium research and diagnosis 9
- Co-authors
- Carl Nathan (9 shared papers)Xiuju Jiang (2 shared papers)Julia Roberts (6 shared papers)Ben S. Gold (6 shared papers)Thulasi Warrier (4 shared papers)Selin Somersan-Karakaya (5 shared papers)J. David Warren (1 shared paper)Melanie A. Stegman (1 shared paper)
- Journals
- ACS Infectious Diseases (3 papers)Journal of Visualized Experiments (2 papers)mBio (1 paper)Asian Journal of Organic Chemistry (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesChinaQatar
In The Last Decade
Yan Ling
17 papers receiving 419 citations
Peers
Comparison fields: 5 of 65
- Infectious Diseases 265
- Molecular Medicine 71
- Epidemiology 168
- Immunology 56
- Molecular Biology 176
Countries citing papers authored by Yan Ling
This map shows the geographic impact of Yan Ling'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 Yan Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ling more than expected).
Fields of papers citing papers by Yan Ling
This network shows the impact of papers produced by Yan Ling. 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 Yan Ling. The network helps show where Yan Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Ling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 87 | |
| 2 | 2016 | 79 | |
| 3 | 2016 | 41 | |
| 4 | 2015 | 37 | |
| 5 | 2015 | 36 | |
| 6 | 2011 | 34 | |
| 7 | 2018 | 21 | |
| 8 | 2022 | 19 | |
| 9 | 2015 | 17 | |
| 10 | 2020 | 13 | |
| 11 | 2019 | 11 | |
| 12 | 2016 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2024 | 4 | |
| 15 | 2012 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2016 | 2 | |
| 18 | 2026 | 0 |
About Yan Ling
Yan Ling is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Molecular Biology and Oncology, having authored 18 papers that have together received 424 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (15 papers), Mycobacterium research and diagnosis (9 papers), Biochemical and Molecular Research (4 papers), Antibiotic Resistance in Bacteria (3 papers), Phenothiazines and Benzothiazines Synthesis and Activities (2 papers), Bacteriophages and microbial interactions (2 papers), HIV/AIDS drug development and treatment (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Infectious Diseases (265 citations), Molecular Medicine (71 citations), Epidemiology (168 citations), Immunology (56 citations) and Molecular Biology (176 citations). Yan Ling has collaborated with scholars based in United States, China and Qatar. Frequent co-authors include Carl Nathan, Xiuju Jiang, Julia Roberts, Ben S. Gold, Thulasi Warrier, Selin Somersan-Karakaya, J. David Warren, Melanie A. Stegman, Caitlyn E. Dickinson and Aditya Venugopal. Their work appears in journals such as ACS Infectious Diseases, Journal of Visualized Experiments, mBio, Asian Journal of Organic Chemistry and Science Advances.
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.