Kanglin Wan
Impact in
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology
- Microbiology top 5%
Papers in
-
- Tuberculosis Research and Epidemiology 93
- Epidemiology 78
- Mycobacterium research and diagnosis 70
- Co-authors
- Haican Liu (77 shared papers)Xiuqin Zhao (53 shared papers)Guilian Li (50 shared papers)Yi Jiang (45 shared papers)Lili Zhao (27 shared papers)Zhiguang Liu (23 shared papers)Li Wan (16 shared papers)Tongyang Xiao (17 shared papers)
- Journals
- Infection and Drug Resistance (11 papers)BioMed Research International (7 papers)PLoS ONE (7 papers)Tuberculosis (6 papers)International Journal of Antimicrobial Agents (5 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kanglin Wan
125 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 85
- Infectious Diseases 1.1k
- Microbiology 25
- Molecular Medicine 131
- Epidemiology 810
- Small Animals 115
Countries citing papers authored by Kanglin Wan
This map shows the geographic impact of Kanglin Wan'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 Kanglin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanglin Wan more than expected).
Fields of papers citing papers by Kanglin Wan
This network shows the impact of papers produced by Kanglin Wan. 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 Kanglin Wan. The network helps show where Kanglin Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kanglin Wan, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 94 | |
| 2 | 2013 | 72 | |
| 3 | 2021 | 60 | |
| 4 | 2010 | 58 | |
| 5 | 2015 | 57 | |
| 6 | 2013 | 57 | |
| 7 | 2015 | 47 | |
| 8 | 2017 | 45 | |
| 9 | 2015 | 44 | |
| 10 | 2016 | 38 | |
| 11 | 2020 | 35 | |
| 12 | 2015 | 35 | |
| 13 | 2020 | 35 | |
| 14 | 2011 | 31 | |
| 15 | 2014 | 31 | |
| 16 | 2015 | 29 | |
| 17 | 2021 | 27 | |
| 18 | 2012 | 26 | |
| 19 | 2011 | 25 | |
| 20 | 2016 | 25 |
About Kanglin Wan
Kanglin Wan is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Surgery and Immunology, having authored 128 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (93 papers), Mycobacterium research and diagnosis (70 papers), vaccines and immunoinformatics approaches (15 papers), Infectious Diseases and Tuberculosis (14 papers), Immunodeficiency and Autoimmune Disorders (11 papers), Infectious Diseases and Mycology (9 papers), Antibiotic Resistance in Bacteria (8 papers) and Bacteriophages and microbial interactions (8 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Microbiology (25 citations), Molecular Medicine (131 citations), Epidemiology (810 citations) and Small Animals (115 citations). Kanglin Wan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Haican Liu, Xiuqin Zhao, Guilian Li, Yi Jiang, Lili Zhao, Zhiguang Liu, Li Wan, Tongyang Xiao, Jingrui Zhang and Qian Guo. Their work appears in journals such as Infection and Drug Resistance, BioMed Research International, PLoS ONE, Tuberculosis and International Journal of Antimicrobial Agents.
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.