Li Pan

3.1k total citations · 2 hit papers
68 papers, 2.1k citations indexed

About

Li Pan is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Li Pan has authored 68 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atmospheric Science, 28 papers in Health, Toxicology and Mutagenesis and 23 papers in Global and Planetary Change. Recurrent topics in Li Pan's work include Atmospheric chemistry and aerosols (32 papers), Air Quality and Health Impacts (26 papers) and Atmospheric aerosols and clouds (14 papers). Li Pan is often cited by papers focused on Atmospheric chemistry and aerosols (32 papers), Air Quality and Health Impacts (26 papers) and Atmospheric aerosols and clouds (14 papers). Li Pan collaborates with scholars based in United States, China and United Kingdom. Li Pan's co-authors include Honglin He, Pius Lee, Daniel Tong, Hyun Cheol Kim, Youhua Tang, Xuejun Liu, Jianxing Zhu, Yanlong Jia, Nianpeng He and Guirui Yu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Li Pan

63 papers receiving 2.1k citations

Hit Papers

Stabilization of atmospheric nitrogen deposition in China... 2019 2026 2021 2023 2019 2025 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Li Pan United States 25 904 767 745 366 364 68 2.1k
Zhijie Li China 21 659 0.7× 583 0.8× 439 0.6× 278 0.8× 569 1.6× 75 1.8k
Y. Sim Tang United Kingdom 28 1.3k 1.4× 666 0.9× 792 1.1× 462 1.3× 293 0.8× 64 2.4k
Yinghong Wang China 26 1.0k 1.2× 730 1.0× 790 1.1× 475 1.3× 938 2.6× 58 2.5k
Jason P. Field United States 20 696 0.8× 399 0.5× 761 1.0× 289 0.8× 429 1.2× 38 2.2k
Gerd Folberth United Kingdom 25 1.7k 1.9× 568 0.7× 1.7k 2.3× 296 0.8× 181 0.5× 47 2.7k
Anthony J. Dore United Kingdom 32 1.5k 1.7× 1.1k 1.4× 837 1.1× 400 1.1× 298 0.8× 93 2.9k
Xinxiao Yu China 31 798 0.9× 733 1.0× 969 1.3× 391 1.1× 561 1.5× 121 2.5k
C. P. Meyer Australia 30 1.2k 1.3× 558 0.7× 1.5k 2.0× 335 0.9× 209 0.6× 61 2.7k
U. Dragosits United Kingdom 30 1.1k 1.3× 944 1.2× 791 1.1× 625 1.7× 373 1.0× 98 3.0k
W. Kevin Hicks United Kingdom 13 418 0.5× 538 0.7× 310 0.4× 277 0.8× 272 0.7× 24 1.5k

Countries citing papers authored by Li Pan

Since Specialization
Citations

This map shows the geographic impact of Li 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 Li Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Pan more than expected).

Fields of papers citing papers by Li Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li 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 Li Pan. The network helps show where Li Pan may publish in the future.

Co-authorship network of co-authors of Li Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Li Pan. A scholar is included among the top collaborators of Li 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 Li Pan. Li Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhu, Jianxing, Yanlong Jia, Guirui Yu, et al.. (2025). Changing patterns of global nitrogen deposition driven by socio-economic development. Nature Communications. 16(1). 46–46. 17 indexed citations breakdown →
2.
Pan, Li & Wen Tang. (2025). Efficacy of Ultrasound-Guided Iliohypogastric and Ilioinguinal Nerve Block for Anesthesia in Pediatric Inguinal Surgery. Journal of Pain Research. Volume 18. 1891–1899.
3.
Duan, Ran, et al.. (2024). The effect of fascia iliaca compartment block on postoperative delirium in elder adults undergoing hip surgery: A systematic review and meta-analysis of randomized controlled trials. International Journal of Orthopaedic and Trauma Nursing. 54. 101122–101122. 1 indexed citations
4.
Chen, Dechun, et al.. (2024). Microbial diversity and metabolomics analysis of colon contents exposed to cadmium and polystyrene microplastics. Ecotoxicology and Environmental Safety. 290. 117585–117585. 2 indexed citations
5.
Yang, Kexin, et al.. (2024). Advanced Biologic Therapies in the Management of Asthma in Children and Adolescents: A Comprehensive Network Meta-Analysis. International Archives of Allergy and Immunology. 186(8). 733–746. 1 indexed citations
7.
Li, Chenchen, Yonglu Wang, Li Pan, et al.. (2024). Cyclophilin A promotes porcine deltacoronavirus replication by regulating autophagy via the Ras/AKT/NF-κB pathway. Veterinary Microbiology. 297. 110190–110190. 3 indexed citations
8.
Pan, Li, Yangyang Xia, Jing Wang, et al.. (2024). Study on Vertical Bearing Capacity of Pile Foundation with Distributed Geopolymer Post-Grouting on Pile Side. Materials. 17(2). 398–398. 4 indexed citations
9.
Wang, Jing, et al.. (2023). The impact of preoperative malnutrition on postoperative delirium: a systematic review and meta-analysis. SHILAP Revista de lepidopterología. 12(1). 9 indexed citations
10.
Zheng, Peiming, et al.. (2023). Prevalence and Genetype Distribution of Human Papillomavirus in Women with Condyloma Acuminatum in Henan Province, Central China. Infection and Drug Resistance. Volume 16. 4919–4928.
11.
Campbell, Patrick, Youhua Tang, Pius Lee, et al.. (2022). Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16. Geoscientific model development. 15(8). 3281–3313. 15 indexed citations
12.
Niu, Zhongen, Honglin He, Shushi Peng, et al.. (2021). A Process‐Based Model Integrating Remote Sensing Data for Evaluating Ecosystem Services. Journal of Advances in Modeling Earth Systems. 13(6). 38 indexed citations
13.
Tang, Youhua, Huisheng Bian, Zhining Tao, et al.. (2021). Comparison of chemical lateral boundary conditions for air quality predictions over the contiguous United States during pollutant intrusion events. Atmospheric chemistry and physics. 21(4). 2527–2550. 6 indexed citations
15.
Bekaert, David, E. Havazli, Hook Hua, et al.. (2020). New and upcoming developments of standardized InSAR Products by the Advanced Rapid Imaging and Analysis (ARIA) Project for Natural Hazards. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
16.
Bekaert, David, Muhammad Faeyz Karim, Hook Hua, et al.. (2019). Development of open-access Standardized InSAR Displacement Products by the Advanced Rapid Imaging and Analysis (ARIA) Project for Natural Hazards. AGU Fall Meeting Abstracts. 2019. 10 indexed citations
17.
Wei, Zhaolian, et al.. (2016). Assessing the quality of life of infertile Chinese women: a cross-sectional study. Taiwanese Journal of Obstetrics and Gynecology. 55(2). 244–250. 22 indexed citations
18.
Štajner, Ivanka, et al.. (2014). National Air Quality Forecast Capability: Status and Research Needs. 2014 AGU Fall Meeting. 2014. 1 indexed citations
19.
Pan, Li. (2001). The study of sanitary quality assessment of shop's air. 1 indexed citations
20.
Pan, Li, Julia N. Paegle, Richard Cotton, et al.. (1997). Local and remote effects of mountains on weather: Research needs and opportunities. Bulletin of the American Meteorological Society. 78(5). 877–892. 45 indexed citations

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.

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