Hang Li

2.2k total citations · 1 hit paper
90 papers, 1.3k citations indexed

About

Hang Li is a scholar working on Epidemiology, Molecular Biology and Dermatology. According to data from OpenAlex, Hang Li has authored 90 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Epidemiology, 23 papers in Molecular Biology and 14 papers in Dermatology. Recurrent topics in Hang Li's work include Liver Disease Diagnosis and Treatment (10 papers), Cancer-related molecular mechanisms research (9 papers) and Fungal Infections and Studies (9 papers). Hang Li is often cited by papers focused on Liver Disease Diagnosis and Treatment (10 papers), Cancer-related molecular mechanisms research (9 papers) and Fungal Infections and Studies (9 papers). Hang Li collaborates with scholars based in China, United States and United Kingdom. Hang Li's co-authors include Juan Tao, Jing Yang, Yang Liu, Xiangjie An, Liyun Dong, Jianxiu Wang, Jun Li, Xiaoping Miao, Yamin Zhang and Zexing Song and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Hang Li

83 papers receiving 1.3k citations

Hit Papers

Skin damage among health care workers managing coronaviru... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Skin damage among health care workers managing coronavirus disease-2019
    2020 340 citations Hang Li et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hang Li China 18 345 303 239 227 207 90 1.3k
Liang Guo China 23 543 1.6× 290 1.0× 160 0.7× 101 0.4× 271 1.3× 116 1.8k
Satoshi Suzuki Japan 27 686 2.0× 269 0.9× 564 2.4× 130 0.6× 102 0.5× 124 2.2k
Mohammad Reza Keramati Iran 23 283 0.8× 229 0.8× 159 0.7× 58 0.3× 131 0.6× 169 1.6k
Alfredo Rossi Italy 31 402 1.2× 406 1.3× 266 1.1× 1.0k 4.4× 115 0.6× 151 3.1k
Bao‐Zhu Li China 22 401 1.2× 179 0.6× 126 0.5× 73 0.3× 146 0.7× 70 1.4k
Maria Siano Italy 17 310 0.9× 285 0.9× 174 0.7× 78 0.3× 69 0.3× 48 1.2k
Roland Leung China 29 341 1.0× 234 0.8× 612 2.6× 217 1.0× 168 0.8× 93 2.6k
Jie Wang China 21 290 0.8× 400 1.3× 146 0.6× 62 0.3× 177 0.9× 132 1.6k

Countries citing papers authored by Hang Li

Since Specialization
Citations

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

Fields of papers citing papers by Hang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Li. A scholar is included among the top collaborators of Hang 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 Hang Li. Hang Li 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.
Ding, Weiping, Hanpin Wang, Zhi Jin, et al.. (2025). Knowledge fusion in deep learning-based medical vision-language models: A review. Information Fusion. 125. 103455–103455. 1 indexed citations
2.
Li, Hang, et al.. (2024). Decouple and Decorrelate: A Disentanglement Security Framework Combining Sample Weighting for Cross-Institution Biased Disease Diagnosis. IEEE Internet of Things Journal. 11(15). 25543–25557. 12 indexed citations
3.
4.
Jin, Zhi, et al.. (2023). Vision-Knowledge Fusion Model for Multi-Domain Medical Report Generation. SSRN Electronic Journal. 3 indexed citations
5.
Zhang, Feng, Hang Li, Wenting Xu, et al.. (2023). Sulfur dioxide may predominate in the adverse effects of ambient air pollutants on semen quality among the general population in Hefei, China. The Science of The Total Environment. 867. 161472–161472. 19 indexed citations
6.
Peng, Yuanyuan, et al.. (2022). Bidirectional Association between Hypertension and NAFLD: A Systematic Review and Meta-Analysis of Observational Studies. International Journal of Endocrinology. 2022. 1–10. 33 indexed citations
7.
Zhang, Lei, Keming Zhang, Wenjie Fang, et al.. (2020). CircRNA-1806 Decreases T Cell Apoptosis and Prolongs Survival of Mice After Cryptococcal Infection by Sponging miRNA-126. Frontiers in Microbiology. 11. 596440–596440. 5 indexed citations
8.
Bi, Yanhong, Zhigang Cui, Hang Li, et al.. (2019). Polymorphisms in Long Noncoding RNA-Prostate Cancer-Associated Transcript 1 Are Associated with Lung Cancer Susceptibility in a Northeastern Chinese Population. DNA and Cell Biology. 38(11). 1357–1365. 7 indexed citations
9.
Li, Juan, Zhigang Cui, Hang Li, et al.. (2018). Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysis. Environmental Health and Preventive Medicine. 23(1). 8–8. 19 indexed citations
10.
Li, Juan, Hang Li, Xiaoting Lv, et al.. (2018). Polymorphism in lncRNA AC016683.6 and its interaction with smoking exposure on the susceptibility of lung cancer. Cancer Cell International. 18(1). 7 indexed citations
11.
Li, Hang, et al.. (2017). [Imaging findings and progress of schistosomal hepatopathy].. PubMed. 29(5). 656–659. 1 indexed citations
12.
Huang, Yang, Zi Ye, Hang Li, & Zhaohui Li. (2017). Outcome of Surgical Treatment in Late-Onset Capsular Block Syndrome. Journal of Ophthalmology. 2017. 1–8. 6 indexed citations
13.
Jiang, Liangjun, et al.. (2016). The summary of characteristic and treatment of Pilon fracture with intact fibula. Zhonghua guke zazhi. 36(2). 96–102. 1 indexed citations
14.
Feng, Gang, et al.. (2016). Anterolateral approach for tibial plateau fractures involving the posterior column. Zhonghua guke zazhi. 36(18). 1151–1159. 3 indexed citations
15.
Li, Yinghui, Zhen Wang, Hui Shi, et al.. (2016). HBXIP and LSD1 Scaffolded by lncRNA Hotair Mediate Transcriptional Activation by c-Myc. Cancer Research. 76(2). 293–304. 110 indexed citations
16.
Tu, Ping, et al.. (2014). [Retrospective analysis for clinical and histopathological characteristics of basal cell carcinoma in 418 patients].. PubMed. 46(2). 195–9. 2 indexed citations
17.
Feng, Gang, et al.. (2014). Dual locking plate fixation for Type C3 tibial plateau fractures involving the posterior column. Zhonghua guke zazhi. 34(7). 695–702. 1 indexed citations
18.
Gao, Xiang, et al.. (2014). A CT study on the morphology characteristics of posterolateral tibial plateau fractures. Zhonghua guke zazhi. 34(7). 709–716. 3 indexed citations
19.
Li, Weiwei, et al.. (2013). Dermoscopy in the differential diagnosis of basal cell carcinoma: a preliminary study. Chinese Journal of Dermatology. 46(7). 480–484. 2 indexed citations
20.
Wang, Peixiang, Qinghua Wang, Jane Sun, et al.. (2009). POU Homeodomain Protein Oct-1 Functions as a Sensor for Cyclic AMP. Journal of Biological Chemistry. 284(39). 26456–26465. 28 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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