Zhi Pang

594 total citations
11 papers, 406 citations indexed

About

Zhi Pang is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Zhi Pang has authored 11 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Zhi Pang's work include Cancer Cells and Metastasis (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Immune cells in cancer (2 papers). Zhi Pang is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Immune cells in cancer (2 papers). Zhi Pang collaborates with scholars based in China and Thailand. Zhi Pang's co-authors include Ya Ding, Yi Zeng, Rui Peng, Jing Hou, Xing Zhang, De Sen Wan, Xiao Wu, Qing Xia, Qiang Zhou and Guoqiang Chen and has published in prestigious journals such as Oncogene, Cell Death and Disease and Oncotarget.

In The Last Decade

Zhi Pang

10 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhi Pang China 8 211 188 185 64 36 11 406
Laia Gorchs Sweden 10 136 0.6× 296 1.6× 281 1.5× 56 0.9× 28 0.8× 13 520
Fotini Vogiatzi Germany 8 173 0.8× 62 0.3× 150 0.8× 55 0.9× 29 0.8× 15 294
Barbara Szymanska Australia 6 306 1.5× 75 0.4× 140 0.8× 77 1.2× 155 4.3× 7 499
Habib Sadeghi Rad Australia 7 130 0.6× 130 0.7× 188 1.0× 68 1.1× 13 0.4× 10 384
Farbod Famili Netherlands 9 223 1.1× 161 0.9× 80 0.4× 21 0.3× 24 0.7× 10 401
Angelo Corso Faini Italy 10 96 0.5× 95 0.5× 124 0.7× 22 0.3× 24 0.7× 20 328
Trine Kristiansen Sweden 10 176 0.8× 235 1.3× 44 0.2× 39 0.6× 21 0.6× 18 438
James Ropa United States 13 343 1.6× 93 0.5× 55 0.3× 65 1.0× 16 0.4× 38 526
Roshanak Derakhshandeh United States 5 100 0.5× 115 0.6× 141 0.8× 54 0.8× 13 0.4× 9 283
A Boudewijn Netherlands 9 114 0.5× 131 0.7× 106 0.6× 24 0.4× 26 0.7× 10 381

Countries citing papers authored by Zhi Pang

Since Specialization
Citations

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

Fields of papers citing papers by Zhi Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhi Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhi Pang. A scholar is included among the top collaborators of Zhi 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 Zhi Pang. Zhi Pang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Gao, Yuan, Lili Lu, Zhi Pang, et al.. (2025). CD103+CD8+ tissue‐resident memory T lymphocytes of melanoma boost anti‐tumour immunity and predict immunotherapy outcomes. Clinical and Translational Medicine. 15(9). e70464–e70464.
2.
Pang, Zhi, Manman Lu, Yu Zhang, et al.. (2023). Neoantigen-targeted TCR-engineered T cell immunotherapy: current advances and challenges. Biomarker Research. 11(1). 104–104. 36 indexed citations
3.
Pang, Zhi, Xinran Dong, Huayun Deng, et al.. (2022). MUC1 triggers lineage plasticity of Her2 positive mammary tumors. Oncogene. 41(22). 3064–3078. 9 indexed citations
4.
Xu, Yao, Zhi Pang, Zhiyun Wei, et al.. (2022). Novel Homozygous PADI6 Variants in Infertile Females with Early Embryonic Arrest. Frontiers in Cell and Developmental Biology. 10. 819667–819667. 17 indexed citations
5.
Xu, Yao, Ying Qian, Yü Liu, et al.. (2020). A novel homozygous variant in NLRP5 is associate with human early embryonic arrest in a consanguineous Chinese family. Clinical Genetics. 98(1). 69–73. 33 indexed citations
6.
Lv, Yaping, Wei Cang, Quanfu Li, et al.. (2019). Erlotinib overcomes paclitaxel-resistant cancer stem cells by blocking the EGFR-CREB/GRβ-IL-6 axis in MUC1-positive cervical cancer. Oncogenesis. 8(12). 70–70. 35 indexed citations
7.
He, Wei, Xiaobo Wang, Lei Li, et al.. (2017). DNMT1-maintained hypermethylation of Krüppel-like factor 5 involves in the progression of clear cell renal cell carcinoma. Cell Death and Disease. 8(7). e2952–e2952. 20 indexed citations
8.
Jin, Weilin, Xiaodong Liao, Zhi Pang, et al.. (2017). MUC1 induces acquired chemoresistance by upregulating ABCB1 in EGFR-dependent manner. Cell Death and Disease. 8(8). e2980–e2980. 74 indexed citations
9.
Pang, Zhi, Xinran Dong, Xiaodong Liao, et al.. (2017). MUC1 induces M2 type macrophage influx during postpartum mammary gland involution and triggers breast cancer. Oncotarget. 9(3). 3446–3458. 7 indexed citations
10.
Zhou, Qiang, Rui Peng, Xiao Wu, et al.. (2010). The density of macrophages in the invasive front is inversely correlated to liver metastasis in colon cancer. Journal of Translational Medicine. 8(1). 13–13. 173 indexed citations
11.
Cao, Kai, et al.. (2009). Use of microRNAs in early detection and screening for colorectal cancer. World Chinese Journal of Digestology. 17(35). 3615–3615. 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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