Pu Li

1.2k total citations
33 papers, 888 citations indexed

About

Pu Li is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Pu Li has authored 33 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Hematology. Recurrent topics in Pu Li's work include Ubiquitin and proteasome pathways (5 papers), Microtubule and mitosis dynamics (3 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). Pu Li is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Microtubule and mitosis dynamics (3 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). Pu Li collaborates with scholars based in China, United States and Poland. Pu Li's co-authors include Elena Dumin, Rogério Panizzutti, Veronika N. Foltyn, Michael D. Toney, Elena Kartvelishvily, Herman Wolosker, Joari De Miranda, Fei Li, Pengcheng Han and Tian Tian and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Analytical Chemistry.

In The Last Decade

Pu Li

32 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pu Li China 14 543 175 155 130 120 33 888
Jesse M. Platt United States 9 937 1.7× 84 0.5× 21 0.1× 56 0.4× 22 0.2× 15 1.5k
Valeria Giandomenico Sweden 23 578 1.1× 32 0.2× 64 0.4× 134 1.0× 37 0.3× 40 1.4k
Cheryl Li United States 11 383 0.7× 16 0.1× 66 0.4× 49 0.4× 47 0.4× 23 838
Astrid Kragt Netherlands 11 758 1.4× 36 0.2× 27 0.2× 65 0.5× 220 1.8× 12 1.2k
Michael V. Ortiz United States 15 297 0.5× 33 0.2× 37 0.2× 106 0.8× 21 0.2× 52 682
Humra Athar United States 11 232 0.4× 80 0.5× 18 0.1× 83 0.6× 36 0.3× 12 583
Gema Martin‐Manso United States 10 467 0.9× 20 0.1× 33 0.2× 70 0.5× 18 0.1× 10 761
Parul Bhargava United States 15 495 0.9× 12 0.1× 100 0.6× 240 1.8× 133 1.1× 45 1.3k
Fumiyoshi Kojima Japan 17 329 0.6× 31 0.2× 87 0.6× 125 1.0× 10 0.1× 88 835
N. Eric Olson United States 14 505 0.9× 13 0.1× 28 0.2× 112 0.9× 65 0.5× 25 966

Countries citing papers authored by Pu Li

Since Specialization
Citations

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

Fields of papers citing papers by Pu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Pu Li. A scholar is included among the top collaborators of Pu 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 Pu Li. Pu 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.
Li, Chunping, et al.. (2025). Effective and efficient identifying influential nodes in large scale networks by structural entropy. Chaos Solitons & Fractals. 196. 116411–116411.
2.
Li, Le, Huan Zhou, Zheng Jiao, et al.. (2025). Insights From a User Experience‐Focused Virtual Study on the Feasibility and Challenges of Decentralized Clinical Trials. Clinical and Translational Science. 18(8). e70307–e70307. 1 indexed citations
3.
Guo, Ye, Lihua Wu, Yong Li, et al.. (2024). First-in-human phase I/II safety and preliminary efficacy of PM1032, a bispecific antibody targeting CLDN18.2 and 4-1BB, in patients with advanced solid tumors.. Journal of Clinical Oncology. 42(16_suppl). 2662–2662. 3 indexed citations
4.
Li, Pu, et al.. (2023). A novel “off-on” ratiometric fluorescent aptasensor for adenosine detection based on FRET between quantum dots and graphene oxide. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 305. 123557–123557. 14 indexed citations
5.
Li, Pu, Tingting Chen, Peng Kuang, et al.. (2022). Aurora-A/FOXO3A/SKP2 axis promotes tumor progression in clear cell renal cell carcinoma and dual-targeting Aurora-A/SKP2 shows synthetic lethality. Cell Death and Disease. 13(7). 606–606. 15 indexed citations
6.
Kong, Xinke, et al.. (2021). Self-Photocatalysis Boosted Electrochemiluminescence Signal Amplification via In Situ Generation of the Coreactant. Analytical Chemistry. 93(36). 12441–12446. 25 indexed citations
7.
Chen, Yongbing, Qingqing Wang, Junqiang Li, et al.. (2021). NEDD4L-induced ubiquitination mediating UBE2T degradation inhibits progression of lung adenocarcinoma via PI3K-AKT signaling. Cancer Cell International. 21(1). 631–631. 19 indexed citations
8.
Wen, Jinhua, et al.. (2021). Uptake of Aβ by OATPs might be a new pathophysiological mechanism of Alzheimer disease. BMC Neuroscience. 22(1). 53–53. 3 indexed citations
9.
Zhang, Yan-Pei, Lushan Xiao, Pu Li, et al.. (2020). Clinical Characteristics of Patients With Progressive and Non-progressive Coronavirus Disease 2019: Evidence From 365 Hospitalised Patients in Honghu and Nanchang, China. Frontiers in Medicine. 7. 556818–556818. 3 indexed citations
10.
Li, Pu, Yan-Pei Zhang, Hongbo Zhu, et al.. (2020). Development and Validation of a Deep Learning-Based Model Using Computed Tomography Imaging for Predicting Disease Severity of Coronavirus Disease 2019. Frontiers in Bioengineering and Biotechnology. 8. 898–898. 63 indexed citations
11.
Li, Pu & Qian Zhu. (2015). A survey of automated information retrieval for genetic disorder from GeneReviews.. AMIA. 1 indexed citations
12.
Li, Pu, Ping Huang, Ye Yang, et al.. (2015). Updated Understanding of Autoimmune Lymphoproliferative Syndrome (ALPS). Clinical Reviews in Allergy & Immunology. 50(1). 55–63. 41 indexed citations
13.
Li, Fei, Yijun Yang, Fengyan Jin, et al.. (2015). Clinical characteristics and prognostic factors of adult hemophagocytic syndrome patients: a retrospective study of increasing awareness of a disease from a single-center in China. Orphanet Journal of Rare Diseases. 10(1). 20–20. 72 indexed citations
15.
Li, Pu, Ping Liu, Chenggui Liu, et al.. (2013). Development of a Chemiluminescence Immunoassay for Serum YB-1 and its Clinical Application as a Potential Diagnostic Marker for Hepatocellular Carcinoma. Hepatitis Monthly. 13(6). e8918–e8918. 11 indexed citations
16.
Ju, Xiaobing, Chao Zhang, Jie Li, et al.. (2012). Clinical Aspects and Molecular Genetics of Persistent Müllerian Duct Syndrome Associated with Transverse Testicular Ectopia: Report of Three Cases. Urologia Internationalis. 90(1). 83–86. 6 indexed citations
17.
Zhang, Qiangzhe, Junjie Jiang, Pengcheng Han, et al.. (2010). Direct differentiation of atrial and ventricular myocytes from human embryonic stem cells by alternating retinoid signals. Cell Research. 21(4). 579–587. 263 indexed citations
18.
Li, Li, Yan Shi, Huiling Wu, et al.. (2007). Hepatocellular carcinoma-associated gene 2 interacts with MAD2L2. Molecular and Cellular Biochemistry. 304(1-2). 297–304. 19 indexed citations
19.
Xu, Jibin, Xiaohua Hu, Yang Bao, et al.. (2006). Novel microdeletion in the transforming growth factor β type II receptor gene is associated with giant and large cell variants of nonsmall cell lung carcinoma. Genes Chromosomes and Cancer. 46(2). 192–201. 15 indexed citations
20.
Li, Pu. (2003). Molecular Control of Plant Trichome Development. Acta Genetica Sinica. 2 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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