Liqiang Pan

1.2k total citations · 1 hit paper
35 papers, 816 citations indexed

About

Liqiang Pan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Liqiang Pan has authored 35 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 20 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Oncology. Recurrent topics in Liqiang Pan's work include Monoclonal and Polyclonal Antibodies Research (20 papers), CAR-T cell therapy research (10 papers) and HER2/EGFR in Cancer Research (8 papers). Liqiang Pan is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (20 papers), CAR-T cell therapy research (10 papers) and HER2/EGFR in Cancer Research (8 papers). Liqiang Pan collaborates with scholars based in China, United States and South Korea. Liqiang Pan's co-authors include Shuqing Chen, Yingchun Xu, Shijie Jin, Yanping Sun, Liang Xiao, Xinyu Gu, James J. Chou, Wenbin Zhao, Xin Liu and Ming Ye and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Liqiang Pan

32 papers receiving 804 citations

Hit Papers

Emerging new therapeutic antibody derivatives for cancer ... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liqiang Pan China 14 450 292 286 216 97 35 816
Hyunbo Shim South Korea 17 439 1.0× 174 0.6× 310 1.1× 173 0.8× 40 0.4× 42 762
Stephanie C. Pero United States 18 633 1.4× 284 1.0× 373 1.3× 131 0.6× 41 0.4× 38 926
Shauna West United Kingdom 15 526 1.2× 102 0.3× 289 1.0× 168 0.8× 47 0.5× 20 849
Sri Murugan Poongkavithai Vadevoo South Korea 14 518 1.2× 161 0.6× 61 0.2× 347 1.6× 179 1.8× 15 877
Natália Rodrigues Mantuano Switzerland 11 588 1.3× 187 0.6× 88 0.3× 349 1.6× 35 0.4× 17 795
Halina Onishko United States 8 363 0.8× 139 0.5× 65 0.2× 170 0.8× 83 0.9× 10 601
Aurélie Cazet France 14 839 1.9× 203 0.7× 140 0.5× 277 1.3× 57 0.6× 23 1.1k
Takuo Suzuki Japan 14 493 1.1× 98 0.3× 299 1.0× 177 0.8× 33 0.3× 23 774
Gowri Rangaswamy Gunassekaran South Korea 13 517 1.1× 161 0.6× 59 0.2× 348 1.6× 198 2.0× 14 880

Countries citing papers authored by Liqiang Pan

Since Specialization
Citations

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

Fields of papers citing papers by Liqiang Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liqiang Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Liqiang Pan. A scholar is included among the top collaborators of Liqiang 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 Liqiang Pan. Liqiang 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.
Pan, Liqiang, et al.. (2025). Leveraging T cell co-stimulation for enhanced therapeutic efficacy of trispecific antibodies targeting prostate cancer. Journal for ImmunoTherapy of Cancer. 13(3). e010140–e010140. 6 indexed citations
2.
Sun, Li, Xuefei Bai, Shijie Jin, et al.. (2025). Cathepsin B dependent activatable trigger fluorophore (CAT-Fluor) for in situ functional imaging of antibody-drug conjugates. Biosensors and Bioelectronics. 274. 117184–117184. 3 indexed citations
3.
Jin, Shijie, et al.. (2024). DNA self-assembly-mediated high drug-antibody ratio ADC platform for targeted tumor therapy and imaging. Nano Today. 58. 102459–102459. 2 indexed citations
4.
5.
Zhang, Xing, et al.. (2024). Self‐Assembled Antibody‐Oligonucleotide Conjugates for Targeted Delivery of Complementary Antisense Oligonucleotides. Angewandte Chemie International Edition. 64(3). e202415272–e202415272. 5 indexed citations
6.
Li, Yiming, Wenbin Zhao, Ying Shen, et al.. (2024). T Cell Receptor-Directed Bispecific T Cell Engager Targeting MHC-Linked NY-ESO-1 for Tumor Immunotherapy. Biomedicines. 12(4). 776–776. 1 indexed citations
7.
Liang, Xiao, Yanping Sun, Shijie Jin, et al.. (2024). A general pHLA-CD80 scaffold fusion protein to promote efficient antigen-specific T cell-based immunotherapy. SHILAP Revista de lepidopterología. 32(3). 200827–200827.
8.
Wang, Zhe, Xuefei Bai, Yingchun Xu, et al.. (2022). Structure-guided and phage-assisted evolution of a therapeutic anti-EGFR antibody to reverse acquired resistance. Nature Communications. 13(1). 4431–4431. 12 indexed citations
9.
Jin, Shijie, Yanping Sun, Liang Xiao, et al.. (2022). Emerging new therapeutic antibody derivatives for cancer treatment. Signal Transduction and Targeted Therapy. 7(1). 39–39. 294 indexed citations breakdown →
10.
Yang, Xiaoyue, Yue Wu, Zhiming Ma, et al.. (2021). Synthetic multiepitope neoantigen DNA vaccine for personalized cancer immunotherapy. Nanomedicine Nanotechnology Biology and Medicine. 37. 102443–102443. 35 indexed citations
11.
Zhao, Linlin, Qingshan Fu, Liqiang Pan, Alessandro Piai, & James J. Chou. (2020). The Diversity and Similarity of Transmembrane Trimerization of TNF Receptors. Frontiers in Cell and Developmental Biology. 8. 569684–569684. 20 indexed citations
12.
Shen, Ying, Xiaoyue Wei, Shijie Jin, et al.. (2020). TCR-mimic antibody-drug conjugates targeting intracellular tumor-specific mutant antigen KRAS G12V mutation. Asian Journal of Pharmaceutical Sciences. 15(6). 777–785. 15 indexed citations
13.
Zhang, Ying, Gaoqi Weng, Xiaoyue Yang, et al.. (2019). <p>Identification of an Activating Mutation in the Extracellular Domain of HER2 Conferring Resistance to Pertuzumab</p>. OncoTargets and Therapy. Volume 12. 11597–11608. 16 indexed citations
14.
Pan, Liqiang, Tian‐Min Fu, Wenbin Zhao, et al.. (2019). Higher-Order Clustering of the Transmembrane Anchor of DR5 Drives Signaling. Cell. 176(6). 1477–1489.e14. 105 indexed citations
15.
Liu, Wenhui, Wenbin Zhao, Xuefei Bai, et al.. (2019). High antitumor activity of Sortase A-generated anti-CD20 antibody fragment drug conjugates. European Journal of Pharmaceutical Sciences. 134. 81–92. 21 indexed citations
16.
Lai, Jun, Yun Wang, Shanshan Wu, et al.. (2018). Elimination of melanoma by sortase A-generated TCR-like antibody-drug conjugates (TL-ADCs) targeting intracellular melanoma antigen MART-1. Biomaterials. 178. 158–169. 19 indexed citations
17.
Pan, Liqiang, Wenbin Zhao, Jun Lai, et al.. (2015). Hetero-modification of TRAIL trimer for improved drug delivery and in vivo antitumor activities. Scientific Reports. 5(1). 14872–14872. 9 indexed citations
18.
Pan, Liqiang, Haibin Wang, Zhaohui Li, et al.. (2013). Novel Conjugation of Tumor‐Necrosis‐Factor‐Related Apoptosis‐Inducing Ligand (TRAIL) with Monomethyl Auristatin E for Efficient Antitumor Drug Delivery. Advanced Materials. 25(34). 4718–4722. 26 indexed citations
20.
Pan, Liqiang, Haibin Wang, Jun Lai, et al.. (2013). Site-specific PEGylation of a mutated-cysteine residue and its effect on tumor necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL). Biomaterials. 34(36). 9115–9123. 27 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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