Lingling Dong
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Molecular Medicine top 5%
Papers in
- Epidemiology 42
- Mycobacterium research and diagnosis 34
-
- Tuberculosis Research and Epidemiology 38
- Co-authors
- Hairong Huang (24 shared papers)Zhihua Chen (11 shared papers)Fengmin Huo (19 shared papers)Yinfang Wu (5 shared papers)Xia Yu (19 shared papers)Zhouyang Li (6 shared papers)Huahao Shen (7 shared papers)Xiulan Pu (6 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (5 papers)Infection and Drug Resistance (5 papers)International Journal of Infectious Diseases (4 papers)Diagnostic Microbiology and Infectious Disease (4 papers)Microbiology Spectrum (4 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lingling Dong
91 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 128
- Infectious Diseases 532
- Molecular Medicine 92
- Microbiology 12
- Epidemiology 521
- Small Animals 76
Countries citing papers authored by Lingling Dong
This map shows the geographic impact of Lingling Dong'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 Lingling Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingling Dong more than expected).
Fields of papers citing papers by Lingling Dong
This network shows the impact of papers produced by Lingling Dong. 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 Lingling Dong. The network helps show where Lingling Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingling Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 184 | |
| 2 | 2022 | 132 | |
| 3 | 2019 | 102 | |
| 4 | 2017 | 80 | |
| 5 | 2019 | 78 | |
| 6 | 2008 | 77 | |
| 7 | 2017 | 53 | |
| 8 | 2021 | 52 | |
| 9 | 2011 | 51 | |
| 10 | 2018 | 50 | |
| 11 | 2013 | 48 | |
| 12 | 2021 | 48 | |
| 13 | 2021 | 47 | |
| 14 | 2017 | 32 | |
| 15 | 2021 | 29 | |
| 16 | 2017 | 27 | |
| 17 | 2021 | 26 | |
| 18 | 2013 | 25 | |
| 19 | 2019 | 25 | |
| 20 | 2021 | 21 |
About Lingling Dong
Lingling Dong is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Surgery and Small Animals, having authored 94 papers that have together received 1.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (38 papers), Mycobacterium research and diagnosis (34 papers), Infectious Diseases and Mycology (10 papers), Diagnosis and treatment of tuberculosis (9 papers), Antibiotic Resistance in Bacteria (8 papers), Infectious Diseases and Tuberculosis (6 papers), Asthma and respiratory diseases (5 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers). The work is most often cited by research in Infectious Diseases (532 citations), Molecular Medicine (92 citations), Microbiology (12 citations), Epidemiology (521 citations) and Small Animals (76 citations). Lingling Dong has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Hairong Huang, Zhihua Chen, Fengmin Huo, Yinfang Wu, Xia Yu, Zhouyang Li, Huahao Shen, Xiulan Pu, Ruifeng Luo and Fei Gao. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Infection and Drug Resistance, International Journal of Infectious Diseases, Diagnostic Microbiology and Infectious Disease and Microbiology Spectrum.
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.