Jin Pan
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Infection Control and Ventilation
Papers in
-
- Infection Control and Ventilation 11
-
- Aerosol Filtration and Electrostatic Precipitation 3
- Co-authors
- Linsey C. Marr (19 shared papers)Charbel Harb (6 shared papers)Weinan Leng (1 shared paper)Jinhan Mo (1 shared paper)Enze Tian (1 shared paper)Nisha K. Duggal (7 shared papers)Aaron J. Prussin (5 shared papers)Seth A. Hawks (5 shared papers)
- Journals
- Environmental Science & Technology (5 papers)Infection Control and Hospital Epidemiology (2 papers)mBio (2 papers)Indoor Air (1 paper)Metals (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Jin Pan
26 papers receiving 528 citations
Peers
Comparison fields: 5 of 120
- Modeling and Simulation 58
- Pulmonary and Respiratory Medicine 230
- Health, Toxicology and Mutagenesis 66
- Infectious Diseases 85
- General Dentistry 8
Countries citing papers authored by Jin Pan
This map shows the geographic impact of Jin 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 Jin Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Pan more than expected).
Fields of papers citing papers by Jin Pan
This network shows the impact of papers produced by Jin 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 Jin Pan. The network helps show where Jin Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Pan, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 118 | |
| 2 | 2021 | 71 | |
| 3 | 2020 | 56 | |
| 4 | 2020 | 51 | |
| 5 | 2021 | 37 | |
| 6 | 2021 | 28 | |
| 7 | 2023 | 22 | |
| 8 | 2007 | 22 | |
| 9 | 2021 | 19 | |
| 10 | 2023 | 19 | |
| 11 | 2024 | 15 | |
| 12 | 2023 | 14 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 8 | |
| 16 | 1996 | 6 | |
| 17 | 2017 | 6 | |
| 18 | 2020 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2007 | 3 |
About Jin Pan
Jin Pan is a scholar working on Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering, Biomedical Engineering, Infectious Diseases and Materials Chemistry, having authored 29 papers that have together received 535 indexed citations. Recurring topics across this work include Infection Control and Ventilation (11 papers), Infection Control in Healthcare (4 papers), Acoustic Wave Resonator Technologies (3 papers), Aerosol Filtration and Electrostatic Precipitation (3 papers), COVID-19 and healthcare impacts (3 papers), Ferroelectric and Piezoelectric Materials (3 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers) and Advanced oxidation water treatment (2 papers). The work is most often cited by research in Modeling and Simulation (58 citations), Pulmonary and Respiratory Medicine (230 citations), Health, Toxicology and Mutagenesis (66 citations), Infectious Diseases (85 citations) and General Dentistry (8 citations). Jin Pan has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Linsey C. Marr, Charbel Harb, Weinan Leng, Jinhan Mo, Enze Tian, Nisha K. Duggal, Aaron J. Prussin, Seth A. Hawks, Peter J. Vikesland and Xiao Wen Zhang. Their work appears in journals such as Environmental Science & Technology, Infection Control and Hospital Epidemiology, mBio, Indoor Air and Metals.
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.