Ling Leng

2.3k total citations
67 papers, 1.5k citations indexed

About

Ling Leng is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Ling Leng has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Oncology and 8 papers in Cell Biology. Recurrent topics in Ling Leng's work include Skin and Cellular Biology Research (5 papers), COVID-19 Clinical Research Studies (5 papers) and Syphilis Diagnosis and Treatment (4 papers). Ling Leng is often cited by papers focused on Skin and Cellular Biology Research (5 papers), COVID-19 Clinical Research Studies (5 papers) and Syphilis Diagnosis and Treatment (4 papers). Ling Leng collaborates with scholars based in China, United States and Hong Kong. Ling Leng's co-authors include Wei Zhu, ‌Barry Reisberg, Melanie Shulman, Carol Torossian, Yunping Zhu, Naijun Tang, Jie Ma, Fuchu He, Dunqin Gao and Mansheng Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Ling Leng

64 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Leng China 21 355 350 175 173 136 67 1.5k
Emma Nichols United States 12 366 1.0× 313 0.9× 228 1.3× 67 0.4× 88 0.6× 58 2.0k
Wei Ni China 25 210 0.6× 407 1.2× 141 0.8× 56 0.3× 188 1.4× 84 1.9k
Calogero Edoardo Cicero Italy 21 231 0.7× 195 0.6× 133 0.8× 104 0.6× 200 1.5× 100 1.6k
Masoud Etemadifar Iran 27 297 0.8× 565 1.6× 164 0.9× 73 0.4× 45 0.3× 262 3.5k
Huijun Li China 21 259 0.7× 204 0.6× 39 0.2× 62 0.4× 150 1.1× 92 1.5k
Jingyun Yang United States 29 173 0.5× 891 2.5× 503 2.9× 138 0.8× 99 0.7× 105 2.4k
Ilaria Casetta Italy 38 448 1.3× 483 1.4× 230 1.3× 89 0.5× 316 2.3× 149 3.8k
Fotini K. Kavvoura Greece 15 176 0.5× 668 1.9× 106 0.6× 121 0.7× 122 0.9× 20 2.0k
Emanuele D’Amico Italy 25 203 0.6× 265 0.8× 211 1.2× 34 0.2× 95 0.7× 100 2.1k
Shulin Chen China 24 266 0.7× 360 1.0× 138 0.8× 38 0.2× 138 1.0× 98 1.8k

Countries citing papers authored by Ling Leng

Since Specialization
Citations

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

Fields of papers citing papers by Ling Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Leng

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Leng. A scholar is included among the top collaborators of Ling Leng 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 Ling Leng. Ling Leng 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.
Yan, Chenxu, Runqi Li, Qin Xu, et al.. (2025). Mapping Dynamic Protein Clustering with AIEgen‐Active Chemigenetic Probe. Angewandte Chemie International Edition. 64(14). e202422996–e202422996. 3 indexed citations
2.
Li, Xiao, Quchang Ouyang, Xiaoqing Liu, et al.. (2025). π‐PhenoDrug: A Comprehensive Deep Learning‐Based Pipeline for Phenotypic Drug Screening in High‐Content Analysis. Advanced Intelligent Systems. 7(6).
3.
Wu, Yue, Xiao Li, Hongjun Yang, et al.. (2024). A stroke organoids-multiomics platform to study injury mechanism and drug response. Bioactive Materials. 44. 68–81. 4 indexed citations
4.
Wang, Wenwen, Tianwei Li, Ying Wang, et al.. (2024). Skin organoid transplantation promotes tissue repair with scarless in frostbite. Protein & Cell. 16(4). 239–258. 9 indexed citations
5.
Zhang, Qiyu, Jie Ma, Hanlin Zhang, et al.. (2024). A Study on the Inflammatory Response of the Brain in Neurosyphilis. Advanced Science. 12(5). e2406971–e2406971. 4 indexed citations
6.
7.
Liu, Mingjuan, Mengyin Wu, Xintong Liu, et al.. (2023). Assessing the quality of care for skin malignant melanoma on a global, regional, and national scale: a systematic analysis of the global burden of disease study from 1990 to 2019. Archives of Dermatological Research. 315(10). 2893–2904. 9 indexed citations
8.
Xiao, Li, Hengrui Hu, Wanlin Liu, et al.. (2023). SARS-CoV-2-infected hiPSC-derived cardiomyocytes reveal dynamic changes in the COVID-19 hearts. Stem Cell Research & Therapy. 14(1). 361–361. 1 indexed citations
9.
Zhang, Peipei, Zhi-Cheng He, Xiaohong Yao, et al.. (2023). COVID-19-associated monocytic encephalitis (CAME): histological and proteomic evidence from autopsy. Signal Transduction and Targeted Therapy. 8(1). 24–24. 24 indexed citations
10.
Liu, Mingjuan, Hanlin Zhang, Xinyi Zhang, et al.. (2023). Telomere length is associated with increased risk of cutaneous melanoma: a Mendelian randomization study. Melanoma Research. 33(6). 475–481. 1 indexed citations
11.
Ma, Jie, Wěi Li, Ruiyuan Cao, et al.. (2022). Application of an iPSC‐Derived Organoid Model for Localized Scleroderma Therapy. Advanced Science. 9(16). e2106075–e2106075. 29 indexed citations
12.
Li, Jun, Jie Ma, Qiyu Zhang, et al.. (2022). Spatially resolved proteomic map shows that extracellular matrix regulates epidermal growth. Nature Communications. 13(1). 4012–4012. 40 indexed citations
13.
Liu, Binghui, Wenjuan Wang, Luye Lv, et al.. (2021). The “Matrisome” reveals the characterization of skin keloid microenvironment. The FASEB Journal. 35(4). e21237–e21237. 8 indexed citations
14.
Ma, Jie, Jia Liu, Dunqin Gao, et al.. (2021). Establishment of Human Pluripotent Stem Cell‐Derived Skin Organoids Enabled Pathophysiological Model of SARS‐CoV‐2 Infection. Advanced Science. 9(7). e2104192–e2104192. 42 indexed citations
15.
Liu, Binghui, Wenjuan Wang, Luye Lv, et al.. (2020). Matrisome Provides a Supportive Microenvironment for Skin Functions of Diverse Species. ACS Biomaterials Science & Engineering. 6(10). 5720–5733. 12 indexed citations
16.
Wang, Wenjuan, et al.. (2020). A systems biology approach for defining the potential molecular framework of idiopathic hypereosinophilic syndrome with cutaneous involvement. Biochemical and Biophysical Research Communications. 524(3). 567–574. 4 indexed citations
17.
Leng, Ling, Jie Ma, Luye Lv, et al.. (2020). Both Wnt signaling and epidermal stem cell-derived extracellular vesicles are involved in epidermal cell growth. Stem Cell Research & Therapy. 11(1). 415–415. 10 indexed citations
18.
Leng, Ling, Ruiyuan Cao, Jie Ma, et al.. (2020). Pathological features of COVID-19-associated lung injury: a preliminary proteomics report based on clinical samples. Signal Transduction and Targeted Therapy. 5(1). 240–240. 112 indexed citations
19.
Leng, Ling, Jie Ma, Baolin Guo, et al.. (2020). Comprehensive proteomic atlas of skin biomatrix scaffolds reveals a supportive microenvironment for epidermal development. Journal of Tissue Engineering. 11. 2752701718–2752701718. 21 indexed citations
20.
Leng, Ling. (2008). Revaluation of tumor response evaluation criteria in solid tumors. 35(5). 343–346. 1 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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