Lijun Pan
- Pulmonary and Respiratory Medicine top 10%
- Infectious Diseases top 5%
- Public Health, Environmental and Occupational Health top 10%
- Health, Toxicology and Mutagenesis top 5%
- Modeling and Simulation top 2%
- Topics
- COVID-19 epidemiological studies (3 papers)Urban Green Space and Health (2 papers)Artificial Intelligence in Healthcare (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lijun Pan
18 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Pulmonary and Respiratory Medicine 377
- Infectious Diseases 258
- Public Health, Environmental and Occupational Health 243
- Health, Toxicology and Mutagenesis 166
- Modeling and Simulation 156
Countries citing papers authored by Lijun Pan
This map shows the geographic impact of Lijun Pan'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 Lijun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lijun Pan more than expected).
Fields of papers citing papers by Lijun Pan
This network shows the impact of papers produced by Lijun Pan. 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 Lijun Pan. The network helps show where Lijun Pan may publish in the future.
Co-authorship network of co-authors of Lijun Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Lijun Pan. A scholar is included among the top collaborators of Lijun Pan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lijun Pan. Lijun Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 18 | |
| 9 | 7 | |
| 10 | 151 | |
| 11 | Aerosol transmission of SARS-CoV-2? Evidence, prevention and controlbreakdown → | 411 |
| 12 | 2 | |
| 13 | Disinfection technology of hospital wastes and wastewater: Suggestions for disinfection strategy during coronavirus Disease 2019 (COVID-19) pandemic in Chinabreakdown → | 477 |
| 14 | 27 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 6 | |
| 19 | [Gene expression patterns of offsprings' hepatocytes induced by prenatal Benzo[a]pyrene exposure]. | 1 |
About Lijun Pan
Lijun Pan is a scholar working on Modeling and Simulation, Health Information Management and Speech and Hearing, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Urban Green Space and Health (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in General Dentistry (77 citations), Modeling and Simulation (156 citations) and Industrial and Manufacturing Engineering (124 citations). Lijun Pan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiao Wang, Jin Shen, Xiaoming Shi, John S. Ji, Song Tang, Liubo Zhang, Yan Xu, Yujing Zhang, Xinwu Li and Dan Ye. Their work appears in journals such as Chemical Communications, Scientific Reports and Environmental Pollution.
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.