Pan Li

2.3k total citations
47 papers, 1.8k citations indexed

About

Pan Li is a scholar working on Otorhinolaryngology, Physiology and Biomedical Engineering. According to data from OpenAlex, Pan Li has authored 47 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Otorhinolaryngology, 12 papers in Physiology and 10 papers in Biomedical Engineering. Recurrent topics in Pan Li's work include Sinusitis and nasal conditions (15 papers), Allergic Rhinitis and Sensitization (9 papers) and Asthma and respiratory diseases (8 papers). Pan Li is often cited by papers focused on Sinusitis and nasal conditions (15 papers), Allergic Rhinitis and Sensitization (9 papers) and Asthma and respiratory diseases (8 papers). Pan Li collaborates with scholars based in China, United States and Singapore. Pan Li's co-authors include Nancy Y. Ip, Zheng Liu, R. Vejsada, William Poueymirou, Joyce McClain, Joanne C. Conover, George D. Yancopoulos, Thomas M. DeChiara, Hai Wang and Bo Liao and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Pan Li

45 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pan Li China	20	484	316	296	294	252	47	1.8k
Takayuki Nakagawa Japan	37	390 0.8×	943 3.0×	447 1.5×	287 1.0×	172 0.7×	176	4.1k
Konstantina M. Stanković United States	37	381 0.8×	772 2.4×	624 2.1×	76 0.3×	190 0.8×	162	4.3k
R.S.B. Liem Netherlands	29	460 1.0×	439 1.4×	118 0.4×	132 0.4×	239 0.9×	73	2.4k
Stefan Dazert Germany	24	237 0.5×	231 0.7×	148 0.5×	94 0.3×	146 0.6×	213	2.5k
Ko Hosokawa Japan	32	593 1.2×	567 1.8×	144 0.5×	159 0.5×	184 0.7×	170	3.2k
Marlan R. Hansen United States	40	776 1.6×	503 1.6×	411 1.4×	172 0.6×	155 0.6×	189	5.2k
Deborah Watson United States	37	946 2.0×	1.3k 4.2×	201 0.7×	438 1.5×	496 2.0×	140	4.1k
Toshio Yamashita Japan	26	239 0.5×	335 1.1×	63 0.2×	36 0.1×	315 1.3×	245	2.4k
Marimélia Porcionatto Brazil	29	502 1.0×	933 3.0×	400 1.4×	238 0.8×	160 0.6×	92	2.4k
Athanasia Warnecke Germany	23	341 0.7×	296 0.9×	218 0.7×	83 0.3×	60 0.2×	115	1.6k

Countries citing papers authored by Pan Li

Since Specialization

Citations

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

Fields of papers citing papers by Pan Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Li

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Boyett, Mark R., et al.. (2025). Circadian determinants of heart rhythm and arrhythmias. Journal of Molecular and Cellular Cardiology. 208. 85–101.

Li, Pan, Maiping Yang, Jing Zhang, et al.. (2024). The rise of intelligent fabric agent from mass-produced advanced fiber materials. Science Bulletin. 69(23). 3644–3647. 8 indexed citations

Li, Pan & Jae Kyoung Kim. (2024). Circadian regulation of sinoatrial nodal cell pacemaking function: Dissecting the roles of autonomic control, body temperature, and local circadian rhythmicity. PLoS Computational Biology. 20(2). e1011907–e1011907. 5 indexed citations

Chen, Min, Jia Liu, Pan Li, et al.. (2022). Fabric computing: Concepts, opportunities, and challenges. The Innovation. 3(6). 100340–100340. 50 indexed citations

Chen, Cailing, Cuilian Guo, Pan Li, et al.. (2022). Nasal secretion tissue plasminogen activator: A novel effective predictor of nasal polyp recurrence. The Journal of Allergy and Clinical Immunology In Practice. 10(8). 2191–2194.e3. 6 indexed citations

Li, Xueli, Bo Liao, Pan Li, et al.. (2021). Characterizing the Neutrophilic Inflammation in Chronic Rhinosinusitis With Nasal Polyps. Frontiers in Cell and Developmental Biology. 9. 793073–793073. 33 indexed citations

Song, Jia, Yi‐Ke Deng, Hai Wang, et al.. (2021). Self-reported Taste and Smell Disorders in Patients with COVID-19: Distinct Features in China. Current Medical Science. 41(1). 14–23. 34 indexed citations

Zeng, Yong, et al.. (2020). TRPV1 Contributes to the Neuroprotective Effect of Dexmedetomidine in Pilocarpine‐Induced Status Epilepticus Juvenile Rats. BioMed Research International. 2020(1). 7623635–7623635. 12 indexed citations

Wang, Hai, Jia Song, Pan Li, et al.. (2020). The characterization of chronic rhinosinusitis in hospitalized patients with COVID-19. The Journal of Allergy and Clinical Immunology In Practice. 8(10). 3597–3599.e2. 16 indexed citations

10.

Liao, Bo, et al.. (2020). Predicting difficult-to-treat chronic rhinosinusitis by noninvasive biological markers. Rhinology Journal. 0(0). 0–0. 22 indexed citations

11.

Wang, Hai, Pan Li, & Zheng Liu. (2019). Neutrophils as a Protagonist and Target in Chronic Rhinosinusitis. Clinical and Experimental Otorhinolaryngology. 12(4). 337–347. 40 indexed citations

12.

Liu, Jin‐Xin, Bo Liao, Hai Wang, et al.. (2019). The IL-37–Mex3B–Toll-like receptor 3 axis in epithelial cells in patients with eosinophilic chronic rhinosinusitis with nasal polyps. Journal of Allergy and Clinical Immunology. 145(1). 160–172. 33 indexed citations

13.

Tang, Qiu, Jian Li, Hongfei Zhu, et al.. (2013). Hmgb1-IL-23-IL-17-IL-6-Stat3 Axis Promotes Tumor Growth in Murine Models of Melanoma. Mediators of Inflammation. 2013. 1–13. 55 indexed citations

14.

Wang, Lei, Pan Li, Yang Han, et al.. (2011). Perforin is recaptured by natural killer cells following target cells stimulation for cytotoxicity. Cell Biology International. 36(2). 223–228. 4 indexed citations

15.

Li, Pan, Guoying Zheng, Yan Yang, et al.. (2010). Granzyme B is recovered by natural killer cells via clathrin-dependent endocytosis. Cellular and Molecular Life Sciences. 67(18). 3197–3208. 15 indexed citations

16.

Ma, Yuting, Heng Yang, Jing Qi, et al.. (2009). CD2AP is indispensable to multistep cytotoxic process by NK cells. Molecular Immunology. 47(5). 1074–1082. 10 indexed citations

17.

Plunkett, Robert J., Nancy Y. Ip, Hideo Asada, et al.. (1997). Trauma-induced striatal CNTF and BDNF mRNA in hemiparkinsonian rats. Neuroreport. 8(2). 507–511. 14 indexed citations

18.

Asada, Hideo, et al.. (1995). Time course of ciliary neurotrophic factor mRNA expression is coincident with the presence of protoplasmic astrocytes in traumatized rat striatum. Journal of Neuroscience Research. 40(1). 22–30. 59 indexed citations

19.

DeChiara, Thomas M., R. Vejsada, William Poueymirou, et al.. (1995). Mice lacking the CNTF receptor, unlike mice lacking CNTF, exhibit profound motor neuron deficits at birth. Cell. 83(2). 313–322. 317 indexed citations

20.

Conover, Joanne C., Jeffery T. Erickson, David M. Katz, et al.. (1995). Neuronal deficits, not involving motor neurons, in mice lacking BDNF and/or NT4. Nature. 375(6528). 235–238. 354 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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