Li Pang

2.2k total citations
63 papers, 1.6k citations indexed

About

Li Pang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Li Pang has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 22 papers in Oncology and 18 papers in Immunology. Recurrent topics in Li Pang's work include Immune cells in cancer (13 papers), Organ Transplantation Techniques and Outcomes (10 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Li Pang is often cited by papers focused on Immune cells in cancer (13 papers), Organ Transplantation Techniques and Outcomes (10 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Li Pang collaborates with scholars based in China, Hong Kong and United States. Li Pang's co-authors include Guo‐Yuan Yang, Alan R. Saltiel, Xiaoming Che, Barbara Ahlemeyer, Josef Krieglstein, Susanne Klumpp, Carsten Culmsee, T. MIYASAKA, Christin Carter‐Su and George S. Campbell and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Cancer Research.

In The Last Decade

Li Pang

58 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Pang China 20 736 346 343 246 214 63 1.6k
Qinghong Zhang China 25 844 1.1× 230 0.7× 257 0.7× 252 1.0× 101 0.5× 71 1.7k
Weiwei Qi China 26 734 1.0× 286 0.8× 249 0.7× 263 1.1× 72 0.3× 106 1.8k
Rohini Polavarapu United States 20 527 0.7× 311 0.9× 129 0.4× 314 1.3× 164 0.8× 24 1.6k
You Li China 23 1.1k 1.5× 313 0.9× 369 1.1× 729 3.0× 112 0.5× 79 2.4k
Yi Cao China 26 1.1k 1.4× 394 1.1× 169 0.5× 632 2.6× 379 1.8× 82 2.0k
Xuebin Qu China 22 701 1.0× 251 0.7× 157 0.5× 341 1.4× 111 0.5× 32 1.5k
Ismail Sergin United States 16 975 1.3× 842 2.4× 148 0.4× 143 0.6× 168 0.8× 19 2.3k
Kanako Hosono Japan 24 462 0.6× 242 0.7× 411 1.2× 114 0.5× 50 0.2× 63 1.6k
Fei Fang China 22 832 1.1× 272 0.8× 152 0.4× 248 1.0× 36 0.2× 66 1.5k

Countries citing papers authored by Li Pang

Since Specialization
Citations

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

Fields of papers citing papers by Li Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Li Pang. A scholar is included among the top collaborators of Li Pang 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 Li Pang. Li Pang 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.
Zhang, Zhao, et al.. (2025). Single-cell RNA sequencing dataset of hearts from wild type and Cyp26b1 knockout mouse embryos. Scientific Data. 12(1). 1165–1165.
2.
Czigány, Zoltán, Raphaël Meier, Juliet Emamaullee, et al.. (2025). A snapshot of challenges and opportunities faced by the scientific workforce in liver transplantation—a survey of the International Liver Transplantation Society (ILTS). Liver Transplantation. 31(8). 1007–1019. 1 indexed citations
3.
4.
Zhou, Yang, et al.. (2024). Precise In Situ Delivery of a Photo-Enhanceable Inflammasome-Activating Nanovaccine Activates Anticancer Immunity. Cancer Research. 84(22). 3834–3847. 4 indexed citations
5.
Lu, Xinjun, Qi Zhu, Junfeng Cai, et al.. (2024). Pretransplant immunotherapy increases acute rejection yet improves survival outcome of HCC patients with MVI post-liver transplantation. Cancer Immunology Immunotherapy. 74(1). 18–18. 3 indexed citations
6.
7.
Liu, Hui, Wai Ho Yeung, Li Pang, et al.. (2023). Arachidonic acid activates NLRP3 inflammasome in MDSCs via FATP2 to promote post-transplant tumour recurrence in steatotic liver grafts. JHEP Reports. 5(12). 100895–100895. 7 indexed citations
8.
Pang, Li, Mei Xie, Xidong Ma, et al.. (2023). Clinical characteristics and therapeutic effects of checkpoint inhibitor-related pneumonitis in patients with non-small cell lung cancer. BMC Cancer. 23(1). 203–203. 15 indexed citations
9.
Ng, TP, Li Pang, Jiaqi Wang, et al.. (2023). Indications of pro-inflammatory cytokines in laparoscopic and open liver resection for early-stage hepatocellular carcinoma. Hepatobiliary & pancreatic diseases international. 23(3). 257–264. 4 indexed citations
10.
Ng, TP, Jiang Liu, Li Pang, et al.. (2023). Post-transplant inflammatory cytokine signature adds value for predicting tumor recurrence after liver transplantation for hepatocellular carcinoma. Hepatology International. 17(6). 1596–1609. 3 indexed citations
11.
Pang, Li, Oscar W.H. Yeung, TP Ng, et al.. (2022). Postoperative Plasmacytoid Dendritic Cells Secrete IFNα to Promote Recruitment of Myeloid-Derived Suppressor Cells and Drive Hepatocellular Carcinoma Recurrence. Cancer Research. 82(22). 4206–4218. 30 indexed citations
12.
13.
Pang, Li, et al.. (2022). A previous hemorrhagic stroke protects against a subsequent stroke via microglia alternative polarization. Communications Biology. 5(1). 654–654. 3 indexed citations
14.
Yuan, Xin, Wei Liang, Hongwei Zhang, et al.. (2021). HPV16 infection promotes an M2 macrophage phenotype to promote the invasion and metastasis of esophageal squamous cell carcinoma. Clinical & Translational Oncology. 23(11). 2382–2393. 7 indexed citations
15.
Zang, Xuelei, Chongchong Wu, Xiaoli Sun, et al.. (2021). Radiographic features and prognosis of early- and late-onset non-small cell lung cancer immune checkpoint inhibitor-related pneumonitis. BMC Cancer. 21(1). 634–634. 21 indexed citations
16.
Liu, Jia, Shengnan Hao, Hui Zhao, et al.. (2019). Human chorionic gonadotropin and IL-35 contribute to the maintenance of peripheral immune tolerance during pregnancy through mediating the generation of IL-10+ or IL-35+ Breg cells. Experimental Cell Research. 383(2). 111513–111513. 15 indexed citations
17.
Zang, Mingde, Lei Hu, Shu Cao, et al.. (2017). Dual role of carcinoembryonic antigen-related cell adhesion molecule 6 expression in predicting the overall survival of gastric cancer patients. Scientific Reports. 7(1). 10773–10773. 8 indexed citations
18.
Pang, Li, Jianfang Li, Liping Su, et al.. (2017). ALEX1, a novel tumor suppressor gene, inhibits gastric cancer metastasis via the PAR-1/Rho GTPase signaling pathway. Journal of Gastroenterology. 53(1). 71–83. 19 indexed citations
19.
Hu, Junwen M., Kai Liu, Xian Jiang, et al.. (2016). The increased number of tumor-associated macrophage is associated with overexpression of VEGF-C, plays an important role in Kazakh ESCC invasion and metastasis. Experimental and Molecular Pathology. 102(1). 15–21. 30 indexed citations
20.
Hu, Zhengqing, et al.. (2000). The Flow-Cytometric Analysis of Nasopharyngeal Carcinoma Treated with Stereotactic Radiosurgery. Stereotactic and Functional Neurosurgery. 74(1). 30–36.

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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