Huiping Gao

1.6k total citations
22 papers, 889 citations indexed

About

Huiping Gao is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Huiping Gao has authored 22 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 10 papers in Molecular Biology and 9 papers in Immunology. Recurrent topics in Huiping Gao's work include CAR-T cell therapy research (8 papers), Immunotherapy and Immune Responses (7 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Huiping Gao is often cited by papers focused on CAR-T cell therapy research (8 papers), Immunotherapy and Immune Responses (7 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Huiping Gao collaborates with scholars based in China and United States. Huiping Gao's co-authors include Zonghai Li, Hua Jiang, Hongyang Wang, Bizhi Shi, Huamao Wang, Xiaorong Pan, Kesang Li, Juan Kong, Shengli Yang and Jianren Gu and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Huiping Gao

22 papers receiving 881 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huiping Gao China 12 616 392 248 192 142 22 889
Xiuqi Wu China 9 557 0.9× 355 0.9× 299 1.2× 83 0.4× 129 0.9× 13 816
Yunxin Lai China 9 504 0.8× 250 0.6× 227 0.9× 52 0.3× 175 1.2× 10 779
Kesang Li China 13 364 0.6× 270 0.7× 428 1.7× 99 0.5× 83 0.6× 20 811
Qiting Wu China 13 573 0.9× 323 0.8× 203 0.8× 47 0.2× 173 1.2× 26 745
Anliang Xia China 12 469 0.8× 379 1.0× 455 1.8× 56 0.3× 73 0.5× 18 960
Chahrazade Kantari‐Mimoun France 10 680 1.1× 766 2.0× 388 1.6× 89 0.5× 140 1.0× 11 1.3k
Jizhou Tan China 10 259 0.4× 189 0.5× 239 1.0× 101 0.5× 127 0.9× 17 625
Christian Hirt Switzerland 10 624 1.0× 431 1.1× 198 0.8× 29 0.2× 296 2.1× 16 945
Hidetoshi Nakagawa Japan 17 419 0.7× 529 1.3× 145 0.6× 230 1.2× 33 0.2× 35 853
Yutaka Motomura Japan 14 436 0.7× 565 1.4× 516 2.1× 285 1.5× 24 0.2× 20 1.1k

Countries citing papers authored by Huiping Gao

Since Specialization
Citations

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

Fields of papers citing papers by Huiping Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiping Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Huiping Gao. A scholar is included among the top collaborators of Huiping Gao 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 Huiping Gao. Huiping Gao 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, Ruihua, Ruihua Li, Huiping Gao, et al.. (2024). Biocompatible formulation of a hydrophobic antimicrobial peptide L30 through nanotechnology principles and its potential role in mouse pneumonia model infected with Staphylococcus aureus. Colloids and Surfaces B Biointerfaces. 236. 113823–113823. 5 indexed citations
2.
Li, Zheng‐Xiang, et al.. (2024). Genetic polymorphisms of BACH2, a key gene regulating Th2 immune response, increasing risk of allergic rhinitis. Gene. 926. 148624–148624. 1 indexed citations
3.
Gao, Huiping, et al.. (2022). Geometric Metric Learning for Multi-Output Learning. Mathematics. 10(10). 1632–1632. 1 indexed citations
4.
Shi, Donghua, Yao Shi, Ahmed O. Kaseb, et al.. (2020). Chimeric Antigen Receptor-Glypican-3 T-Cell Therapy for Advanced Hepatocellular Carcinoma: Results of Phase I Trials. Clinical Cancer Research. 26(15). 3979–3989. 254 indexed citations
5.
Shi, Bizhi, Min Zhou, Huiping Gao, et al.. (2019). Growth suppression of colorectal cancer expressing S492R EGFR by monoclonal antibody CH12. Frontiers of Medicine. 13(1). 83–93. 2 indexed citations
6.
Jiang, Hua, Huiping Gao, Juan Kong, et al.. (2018). Selective Targeting of Glioblastoma with EGFRvIII/EGFR Bitargeted Chimeric Antigen Receptor T Cell. Cancer Immunology Research. 6(11). 1314–1326. 38 indexed citations
7.
Zhai, Bo, Donghua Shi, Huiping Gao, et al.. (2017). A phase I study of anti-GPC3 chimeric antigen receptor modified T cells (GPC3 CAR-T) in Chinese patients with refractory or relapsed GPC3+ hepatocellular carcinoma (r/r GPC3+ HCC).. Journal of Clinical Oncology. 35(15_suppl). 3049–3049. 73 indexed citations
8.
Wu, Xiuqi, Bizhi Shi, Jiqin Zhang, et al.. (2017). A Fusion Receptor as a Safety Switch, Detection, and Purification Biomarker for Adoptive Transferred T Cells. Molecular Therapy. 25(10). 2270–2279. 7 indexed citations
9.
Chen, Cheng, Kesang Li, Hua Jiang, et al.. (2016). Development of T cells carrying two complementary chimeric antigen receptors against glypican-3 and asialoglycoprotein receptor 1 for the treatment of hepatocellular carcinoma. Cancer Immunology Immunotherapy. 66(4). 475–489. 82 indexed citations
10.
Li, Zonghai, Cheng Chen, Kesang Li, et al.. (2016). 202. Development of T-Cells Carrying Two Complementary Chimeric Antigen Receptors Against GPC3 and ASGR1 for the Treatment of Hepatocellular Carcinoma. Molecular Therapy. 24. S79–S79. 2 indexed citations
11.
Li, Kesang, Xiaorong Pan, Wen Xu, et al.. (2015). Adoptive immunotherapy using T lymphocytes redirected to glypican-3 for the treatment of lung squamous cell carcinoma. Oncotarget. 7(3). 2496–2507. 32 indexed citations
12.
Gao, Huiping, Kesang Li, Hong Tu, et al.. (2014). Development of T Cells Redirected to Glypican-3 for the Treatment of Hepatocellular Carcinoma. Clinical Cancer Research. 20(24). 6418–6428. 259 indexed citations
13.
Zhou, Min, Hai Wang, Keke Zhou, et al.. (2013). A Novel EGFR Isoform Confers Increased Invasiveness to Cancer Cells. Cancer Research. 73(23). 7056–7067. 20 indexed citations
14.
Zhang, Pengfei, Min Zhou, Hua Jiang, et al.. (2013). Exon 4 deletion variant of epidermal growth factor receptor enhances invasiveness and cisplatin resistance in epithelial ovarian cancer. Carcinogenesis. 34(11). 2639–2646. 20 indexed citations
15.
Zhang, Pengfei, Bizhi Shi, Huiping Gao, et al.. (2013). An EpCAM/CD3 bispecific antibody efficiently eliminates hepatocellular carcinoma cells with limited galectin-1 expression. Cancer Immunology Immunotherapy. 63(2). 121–132. 39 indexed citations
16.
17.
Yue, Lu, Ying Wang, Huamao Wang, et al.. (2012). Inhibition of hepatocellular carcinoma cell growth by an anti-insulin-like growth factor-I receptor monoclonal antibody. Oncology Reports. 28(4). 1453–1460. 12 indexed citations
18.
19.
Gao, Huiping, Jinnan Zhang, Lei Zhang, & Junyi Zhang. (2012). Semi-JUS method for carrier aggregation in LTE-Advanced systems. 631–635. 1 indexed citations
20.
Gao, Huiping, et al.. (2009). Preparation and identification of a 9B9 monoclonal antibody specifically targeting EGFRvIII/EGFR.. 16(4). 391–395. 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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