Jing‐Ru Pang

534 total citations
11 papers, 387 citations indexed

About

Jing‐Ru Pang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jing‐Ru Pang has authored 11 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Immunology. Recurrent topics in Jing‐Ru Pang's work include Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). Jing‐Ru Pang is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). Jing‐Ru Pang collaborates with scholars based in China, New Zealand and Hong Kong. Jing‐Ru Pang's co-authors include Yi‐Chao Zheng, Hong‐Min Liu, Hongmei Ren, Dandan Shen, Ning Wang, Lijuan Zhao, Ya Gao, Bo Wang, Zhiru Wang and Zhenhe Suo and has published in prestigious journals such as Cellular and Molecular Life Sciences, Life Sciences and Molecular Cancer.

In The Last Decade

Jing‐Ru Pang

11 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing‐Ru Pang China 7 325 118 94 70 25 11 387
Dejan Vidovic Canada 8 226 0.7× 143 1.2× 142 1.5× 76 1.1× 28 1.1× 15 341
Karen Jung Canada 12 220 0.7× 106 0.9× 91 1.0× 42 0.6× 19 0.8× 19 334
Xi-Rong Tan China 9 240 0.7× 88 0.7× 104 1.1× 47 0.7× 41 1.6× 17 339
Aurora Chinnici Italy 6 207 0.6× 147 1.2× 70 0.7× 57 0.8× 27 1.1× 9 330
Mark G. Woodcock United States 7 222 0.7× 104 0.9× 184 2.0× 74 1.1× 26 1.0× 13 349
Muthana Al Abo United States 10 365 1.1× 208 1.8× 71 0.8× 42 0.6× 24 1.0× 15 439
Alyssa Wenzel United States 4 230 0.7× 159 1.3× 57 0.6× 129 1.8× 32 1.3× 9 363
Mary C. Beytagh United States 4 154 0.5× 131 1.1× 73 0.8× 70 1.0× 41 1.6× 5 277
Debina Sarkar New Zealand 6 286 0.9× 120 1.0× 186 2.0× 49 0.7× 17 0.7× 10 384
Luan Sun China 8 242 0.7× 84 0.7× 144 1.5× 57 0.8× 18 0.7× 14 334

Countries citing papers authored by Jing‐Ru Pang

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Ru Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing‐Ru Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Ru Pang. A scholar is included among the top collaborators of Jing‐Ru 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 Jing‐Ru Pang. Jing‐Ru 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.
Mamun, MAA, Yi‐Chao Zheng, Ning Wang, et al.. (2024). Decoding CLU (Clusterin): Conquering cancer treatment resistance and immunological barriers. International Immunopharmacology. 137. 112355–112355. 4 indexed citations
2.
Zhang, Yu, Haoyi Zhu, Mengyang Liu, et al.. (2024). Unlocking the dual role of LSD1 in tumor immunity: innate and adaptive pathways. Theranostics. 14(18). 7054–7071. 3 indexed citations
3.
Pang, Jing‐Ru, Yu Zhang, Zhongrui Li, et al.. (2023). Neddylation-dependent LSD1 destabilization inhibits the stemness and chemoresistance of gastric cancer. International Journal of Biological Macromolecules. 254(Pt 3). 126801–126801. 5 indexed citations
4.
Zhao, Longfei, Fengyu Qi, Jinge Zhang, et al.. (2022). Identification of the upstream regulators of KDM5B in gastric cancer. Life Sciences. 298. 120458–120458. 7 indexed citations
5.
Shen, Dandan, Jing‐Ru Pang, Longfei Zhao, et al.. (2022). LSD1 deletion decreases exosomal PD-L1 and restores T-cell response in gastric cancer. Molecular Cancer. 21(1). 75–75. 134 indexed citations
6.
Shen, Dandan, Jing‐Ru Pang, Lijuan Zhao, et al.. (2022). Generation, secretion and degradation of cancer immunotherapy target PD-L1. Cellular and Molecular Life Sciences. 79(8). 413–413. 8 indexed citations
7.
Shen, Dandan, Bo Wang, Ya Gao, et al.. (2022). Detailed resume of RNA m6A demethylases. Acta Pharmaceutica Sinica B. 12(5). 2193–2205. 59 indexed citations
8.
Zhao, Li‐Juan, Yingying Li, Qiqi Fan, et al.. (2021). Lysine demethylase LSD1 delivered via small extracellular vesicles promotes gastric cancer cell stemness. EMBO Reports. 22(8). e50922–e50922. 22 indexed citations
9.
Li, Zhongrui, Ting Ma, Bo Hu, et al.. (2019). Sanggenon O induced apoptosis of A549 cells is counterbalanced by protective autophagy. Bioorganic Chemistry. 87. 688–698. 5 indexed citations
10.
Wang, Zhiru, Jing‐Ru Pang, Hongmei Ren, et al.. (2019). USP7: Novel Drug Target in Cancer Therapy. Frontiers in Pharmacology. 10. 427–427. 100 indexed citations
11.
Zheng, Yi‐Chao, et al.. (2018). Lysine demethylase 5B (KDM5B): A potential anti-cancer drug target. European Journal of Medicinal Chemistry. 161. 131–140. 40 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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