Pan Jiang

2.1k total citations
52 papers, 1.6k citations indexed

About

Pan Jiang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pan Jiang has authored 52 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 19 papers in Cancer Research and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pan Jiang's work include Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (12 papers) and Cancer-related gene regulation (6 papers). Pan Jiang is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (12 papers) and Cancer-related gene regulation (6 papers). Pan Jiang collaborates with scholars based in China, United States and Australia. Pan Jiang's co-authors include Qing Feng, Xiaoyue Wu, Aochang Chen, Ijaz ul Haq, Chuyue Xu, Zahula Mariyam, Pengqi Wang, Wang Xuemin, Wenbin Huang and Falak Zeb and has published in prestigious journals such as PLoS ONE, Scientific Reports and Environmental Pollution.

In The Last Decade

Pan Jiang

52 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Jiang China 23 923 624 247 192 161 52 1.6k
Vanessa Galleggiante Italy 19 630 0.7× 342 0.5× 176 0.7× 366 1.9× 57 0.4× 24 1.3k
Elba S. Vázquez Argentina 23 1.2k 1.3× 292 0.5× 296 1.2× 267 1.4× 138 0.9× 89 1.8k
Jose E. Castelao United States 29 853 0.9× 490 0.8× 533 2.2× 383 2.0× 142 0.9× 49 2.3k
D Ratnasinghe United States 19 763 0.8× 394 0.6× 201 0.8× 75 0.4× 146 0.9× 22 1.4k
Qinghui Zhang China 21 635 0.7× 479 0.8× 188 0.8× 117 0.6× 137 0.9× 42 1.3k
Murali K. Ankem United States 23 486 0.5× 194 0.3× 182 0.7× 297 1.5× 152 0.9× 71 1.4k
Kamil Biringer Slovakia 23 517 0.6× 254 0.4× 157 0.6× 120 0.6× 73 0.5× 69 1.4k
Hsiang‐Tsui Wang Taiwan 20 600 0.7× 212 0.3× 104 0.4× 112 0.6× 91 0.6× 47 1.3k
Hong Luan China 20 528 0.6× 201 0.3× 111 0.4× 93 0.5× 90 0.6× 55 1.2k

Countries citing papers authored by Pan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Pan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Jiang. A scholar is included among the top collaborators of Pan Jiang 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 Pan Jiang. Pan Jiang 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.
Jiang, Pan, Zilong Liu, Guiling Xiang, et al.. (2025). STAT6 deficiency mitigates the severity of pulmonary arterial hypertension caused by chronic intermittent hypoxia by suppressing Th2-inducing cytokines. Respiratory Research. 26(1). 13–13. 3 indexed citations
2.
Jiang, Pan, et al.. (2024). The basic biology of NK cells and its application in tumor immunotherapy. Frontiers in Immunology. 15. 1420205–1420205. 15 indexed citations
3.
Hao, Shengyu, et al.. (2023). EGCG alleviates obesity-exacerbated lung cancer progression by STAT1/SLC7A11 pathway and gut microbiota. The Journal of Nutritional Biochemistry. 120. 109416–109416. 35 indexed citations
4.
Xiang, Guiling, et al.. (2022). Growth differentiation factor 11 induces skeletal muscle atrophy via a STAT3-dependent mechanism in pulmonary arterial hypertension. Skeletal Muscle. 12(1). 10–10. 13 indexed citations
5.
6.
Tang, Li, Yu‐Li Chen, Huanhuan Chen, et al.. (2020). DCST1-AS1 Promotes TGF-β-Induced Epithelial–Mesenchymal Transition and Enhances Chemoresistance in Triple-Negative Breast Cancer Cells via ANXA1. Frontiers in Oncology. 10. 280–280. 44 indexed citations
7.
Xu, Weiguo, Bin Zhou, Jun Wu, et al.. (2020). Circular RNA hsa-circ-0007766 modulates the progression of Gastric Carcinoma via miR-1233-3p/GDF15 axis. International Journal of Medical Sciences. 17(11). 1569–1583. 16 indexed citations
8.
Chen, Lijun, Xiaoyue Wu, Falak Zeb, et al.. (2019). Acrolein-induced apoptosis of smooth muscle cells through NEAT1-Bmal1/Clock pathway and a protection from asparagus extract. Environmental Pollution. 258. 113735–113735. 29 indexed citations
9.
Wu, Xiaoyue, Lijun Chen, Falak Zeb, et al.. (2019). Clock-Bmal1 mediates MMP9 induction in acrolein-promoted atherosclerosis associated with gut microbiota regulation. Environmental Pollution. 252(Pt B). 1455–1463. 30 indexed citations
10.
Mo, Dongping, Pan Jiang, Yining Yang, et al.. (2019). A tRNA fragment, 5′-tiRNAVal, suppresses the Wnt/β-catenin signaling pathway by targeting FZD3 in breast cancer. Cancer Letters. 457. 60–73. 125 indexed citations
11.
Zhang, Yu, Jing‐Wei Gao, Pan Jiang, et al.. (2019). Clinical Significance of Epithelial–Mesenchymal Transition–Related Molecules in Lung Adenocarcinoma. Current Oncology. 26(2). 121–127. 11 indexed citations
12.
Haq, Ijaz ul, Zahula Mariyam, Min Li, et al.. (2018). A Comparative Study of Nutritional Status, Knowledge Attitude and Practices (KAP) and Dietary Intake between International and Chinese Students in Nanjing, China. International Journal of Environmental Research and Public Health. 15(9). 1910–1910. 58 indexed citations
13.
Wu, Xiaoyue, Chaofeng Li, Zahula Mariyam, et al.. (2018). Acrolein‐induced atherogenesis by stimulation of hepatic flavin containing monooxygenase 3 and a protection from hydroxytyrosol. Journal of Cellular Physiology. 234(1). 475–485. 21 indexed citations
14.
Jiang, Pan, Hai Xu, Chuyue Xu, et al.. (2018). NEAT1 contributes to the CSC-like traits of A549/CDDP cells via activating Wnt signaling pathway. Chemico-Biological Interactions. 296. 154–161. 30 indexed citations
15.
Jiang, Pan, Aochang Chen, Xiaoyue Wu, et al.. (2017). NEAT1 acts as an inducer of cancer stem cell‐like phenotypes in NSCLC by inhibiting EGCG‐upregulated CTR1. Journal of Cellular Physiology. 233(6). 4852–4863. 61 indexed citations
16.
Jiang, Pan, et al.. (2017). RXRα-enriched cancer stem cell-like properties triggered by CDDP in head and neck squamous cell carcinoma (HNSCC). Carcinogenesis. 39(2). 252–262. 22 indexed citations
17.
18.
Li, Yuan, Xin Shen, Aiping Li, et al.. (2015). EGCG regulates the cross-talk between JWA and topoisomerase IIα in non-small-cell lung cancer (NSCLC) cells. Scientific Reports. 5(1). 11009–11009. 19 indexed citations
19.
Wang, Xuemin, Pan Jiang, Pengqi Wang, et al.. (2015). EGCG Enhances Cisplatin Sensitivity by Regulating Expression of the Copper and Cisplatin Influx Transporter CTR1 in Ovary Cancer. PLoS ONE. 10(4). e0125402–e0125402. 81 indexed citations
20.
Jiang, Pan, Yan Zhang, Stephen J. Archibald, & Hua Wang. (2015). Adoptive cell transfer after chemotherapy enhances survival in patients with resectable HNSCC. International Immunopharmacology. 28(1). 208–214. 16 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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