HUIXING PAN

466 total citations
15 papers, 286 citations indexed

About

HUIXING PAN is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, HUIXING PAN has authored 15 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in HUIXING PAN's work include MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (5 papers). HUIXING PAN is often cited by papers focused on MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (5 papers). HUIXING PAN collaborates with scholars based in China and United States. HUIXING PAN's co-authors include Deyao Wu, Ping Qü, Jian Zhou, Yunfeng Zhou, Xiaobing Niu, Min Li, Linmao Wang, Wanxiang Wang, Tielong Zhang and Jie Wang and has published in prestigious journals such as Medicine, Urology and Aging.

In The Last Decade

HUIXING PAN

14 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
HUIXING PAN China 11 230 206 32 29 25 15 286
Jiani Guo China 8 248 1.1× 215 1.0× 34 1.1× 19 0.7× 29 1.2× 20 324
Zahra Saadatian Iran 13 231 1.0× 218 1.1× 27 0.8× 16 0.6× 25 1.0× 29 312
Qian Dong China 7 217 0.9× 221 1.1× 31 1.0× 44 1.5× 17 0.7× 14 291
Yuanting Gu China 12 322 1.4× 292 1.4× 56 1.8× 27 0.9× 27 1.1× 19 394
Tiefang Song China 9 312 1.4× 262 1.3× 25 0.8× 17 0.6× 11 0.4× 11 373
Bijing Mao China 8 275 1.2× 181 0.9× 30 0.9× 24 0.8× 13 0.5× 11 328
Haijun Wu China 9 187 0.8× 163 0.8× 45 1.4× 44 1.5× 29 1.2× 18 276
Qiang Zhan China 8 271 1.2× 246 1.2× 40 1.3× 31 1.1× 38 1.5× 13 336
Zheng Zhi China 6 283 1.2× 245 1.2× 25 0.8× 22 0.8× 10 0.4× 8 330

Countries citing papers authored by HUIXING PAN

Since Specialization
Citations

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

Fields of papers citing papers by HUIXING PAN

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of HUIXING PAN

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

All Works

15 of 15 papers shown
4.
PAN, HUIXING, et al.. (2017). Clear Cell Renal Cell Carcinoma With Extensive Osseous Metaplasia: Report of a Rare Case. Urology. 105. e3–e5. 4 indexed citations
5.
Deng, Zhenghao, Yanliang Wang, Xiaodan Fang, et al.. (2017). Research on miRNA-195 and target gene CDK6 in oral verrucous carcinoma. Cancer Gene Therapy. 24(7). 282–288. 21 indexed citations
6.
PAN, HUIXING, Xiaojian Xu, Deyao Wu, et al.. (2016). Novel somatic mutations identified by whole-exome sequencing in muscle-invasive transitional cell carcinoma of the bladder. Oncology Letters. 11(2). 1486–1492. 11 indexed citations
7.
Wu, Deyao, Xiaobing Niu, HUIXING PAN, et al.. (2016). Tumor-suppressing effects of microRNA-429 in human renal cell carcinoma via the downregulation of Sp1. Oncology Letters. 12(4). 2906–2911. 19 indexed citations
8.
Wu, Deyao, Xiaobing Niu, HUIXING PAN, et al.. (2016). MicroRNA-497 targets hepatoma-derived growth factor and suppresses human prostate cancer cell motility. Molecular Medicine Reports. 13(3). 2287–2292. 13 indexed citations
9.
Wu, Deyao, Xiaobing Niu, HUIXING PAN, et al.. (2016). MicroRNA-335 is downregulated in bladder cancer and inhibits cell growth, migration and invasion via targeting ROCK1. Molecular Medicine Reports. 13(5). 4379–4385. 17 indexed citations
10.
Wu, Deyao, HUIXING PAN, Yunfeng Zhou, et al.. (2015). Upregulation of microRNA-204 inhibits cell proliferation, migration and invasion in human renal cell carcinoma cells by downregulating SOX4. Molecular Medicine Reports. 12(5). 7059–7064. 25 indexed citations
11.
Wu, Deyao, Yunfeng Zhou, HUIXING PAN, Ping Qü, & Jian Zhou. (2014). microRNA-99a inhibits cell proliferation, colony formation ability, migration and invasion by targeting fibroblast growth factor receptor 3 in prostate cancer. Molecular Medicine Reports. 11(2). 1469–1475. 16 indexed citations
12.
Wu, Deyao, et al.. (2014). Upregulation of the B7/CD28 family member B7-H3 in bladder cancer. Oncology Letters. 9(3). 1420–1424. 9 indexed citations
14.
15.
Wu, Deyao, Min Li, Linmao Wang, et al.. (2014). microRNA-145 inhibits cell proliferation, migration and invasion by targeting matrix metallopeptidase-11 in renal cell carcinoma. Molecular Medicine Reports. 10(1). 393–398. 37 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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