Yunbao Pan

6.7k total citations
89 papers, 2.9k citations indexed

About

Yunbao Pan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yunbao Pan has authored 89 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 26 papers in Cancer Research and 22 papers in Oncology. Recurrent topics in Yunbao Pan's work include RNA modifications and cancer (20 papers), COVID-19 Clinical Research Studies (16 papers) and SARS-CoV-2 and COVID-19 Research (15 papers). Yunbao Pan is often cited by papers focused on RNA modifications and cancer (20 papers), COVID-19 Clinical Research Studies (16 papers) and SARS-CoV-2 and COVID-19 Research (15 papers). Yunbao Pan collaborates with scholars based in China, United States and Australia. Yunbao Pan's co-authors include Guohong Liu, Yirong Li, Fuling Zhou, François X. Claret, Yirong Li, Bojin Su, Xiaojiao Zeng, Yongchang Wei, Huiling Yang and Liangjun Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Yunbao Pan

85 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunbao Pan China 29 1.6k 781 651 614 318 89 2.9k
Jingping Yuan China 26 1.2k 0.8× 788 1.0× 768 1.2× 421 0.7× 415 1.3× 121 3.2k
Tianmin Xu China 27 1.3k 0.8× 623 0.8× 370 0.6× 492 0.8× 372 1.2× 96 2.6k
Yosuke Hirotsu Japan 29 1.3k 0.8× 669 0.9× 557 0.9× 482 0.8× 147 0.5× 120 2.9k
Jun Lin China 26 1.3k 0.8× 809 1.0× 351 0.5× 333 0.5× 217 0.7× 117 2.6k
Xiangyu Kong China 32 1.5k 1.0× 857 1.1× 707 1.1× 262 0.4× 216 0.7× 118 2.8k
Huabing Tan China 15 776 0.5× 381 0.5× 524 0.8× 435 0.7× 443 1.4× 30 2.1k
Jinsheng Yu United States 27 1.2k 0.8× 549 0.7× 568 0.9× 709 1.2× 421 1.3× 53 2.9k
Matthias S. Matter Switzerland 32 1.6k 1.0× 1.0k 1.3× 903 1.4× 317 0.5× 617 1.9× 91 3.7k
Yufeng Yuan China 32 1.9k 1.2× 1.3k 1.6× 436 0.7× 247 0.4× 315 1.0× 114 3.3k
Bicheng Zhang China 25 822 0.5× 327 0.4× 813 1.2× 929 1.5× 509 1.6× 97 2.8k

Countries citing papers authored by Yunbao Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yunbao Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunbao Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Yunbao Pan. A scholar is included among the top collaborators of Yunbao 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 Yunbao Pan. Yunbao Pan 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.
Wang, Dujuan, Shilin Wang, Liping Wang, et al.. (2025). Intratumoral Stenotrophomonas Maltophilia in Breast Cancer: Unraveling the Interplay with Hormone Receptors and Impact on Tumor Immunity. International Journal of Biological Sciences. 21(3). 974–988. 5 indexed citations
2.
Liu, Yin, et al.. (2025). Engineered Cas12a-based one-tube detection of DNMT3A R882 H/C mutation in acute myeloid leukemia. Biosensors and Bioelectronics. 286. 117609–117609.
3.
4.
Zhang, Qian, Huiqing Wu, Liping Wang, et al.. (2024). Intratumoral microbiota associates with systemic immune inflammation state in nasopharyngeal carcinoma. International Immunopharmacology. 141. 112984–112984. 4 indexed citations
5.
Fan, Junli, Tao Liu, Lili Chen, et al.. (2024). Serological proteomic profiling uncovered CDK5RAP2 as a novel marker in benign prostatic hyperplasia. Clinical Biochemistry. 135. 110867–110867. 2 indexed citations
6.
Liu, Yang, Xiaojiao Zeng, Gui Yang, Yirong Li, & Yunbao Pan. (2023). Predictive value of circulating tumor cell counts during the treatment of cancer: interactions with the blood microenvironment. International Journal of Clinical Oncology. 28(8). 1011–1022. 2 indexed citations
7.
Liu, Guohong, Liping Wang, Lili Ji, et al.. (2023). Identifying prognostic markers in spatially heterogeneous breast cancer microenvironment. Journal of Translational Medicine. 21(1). 580–580. 4 indexed citations
8.
Wang, Liping, Dujuan Wang, Liu Yang, et al.. (2022). Cuproptosis related genes associated with Jab1 shapes tumor microenvironment and pharmacological profile in nasopharyngeal carcinoma. Frontiers in Immunology. 13. 989286–989286. 61 indexed citations
9.
Chen, Xu, Junli Fan, Peng Tang, et al.. (2021). Prevalence and Characteristics of Rheumatoid-Associated Autoantibodies in Patients with COVID-19. Journal of Inflammation Research. Volume 14. 3123–3128. 14 indexed citations
10.
Liu, Guohong, et al.. (2021). Analysis of Lymphocyte Subpopulations and Cytokines in COVID-19-Associated Pneumonia and Community-Acquired Pneumonia. Journal of Immunology Research. 2021. 1–9. 11 indexed citations
11.
Tang, Yueting, Huaqin Pan, Fen Yao, et al.. (2021). Aberrant cytokine expression in COVID-19 patients: Associations between cytokines and disease severity. Cytokine. 143. 155523–155523. 23 indexed citations
12.
Pan, Yunbao, et al.. (2021). Predictive Value of IL-6 Combined with NLR in Inflammation and Cancer. Cancer Investigation. 39(6-7). 489–504. 9 indexed citations
13.
Liu, Guohong, et al.. (2021). Potential of Immune-Related Therapy in COVID-19. Frontiers in Pharmacology. 11. 609212–609212. 2 indexed citations
14.
Pan, Yunbao, Xinran Li, Gui Yang, et al.. (2020). Seroprevalence of SARS-CoV-2 immunoglobulin antibodies in Wuhan, China: part of the city-wide massive testing campaign. Clinical Microbiology and Infection. 27(2). 253–257. 21 indexed citations
15.
Jin, Yanxia, Shishang Guo, Qin Cui, et al.. (2018). A hospital based retrospective study of factors influencing therapeutic leukapheresis in patients presenting with hyperleukocytic leukaemia. Scientific Reports. 8(1). 294–294. 8 indexed citations
16.
Zhou, Fuling, Yunbao Pan, Yongchang Wei, et al.. (2017). Jab1/Csn5–Thioredoxin Signaling in Relapsed Acute Monocytic Leukemia under Oxidative Stress. Clinical Cancer Research. 23(15). 4450–4461. 52 indexed citations
17.
Pan, Yunbao, Sumei Wang, Bing Su, et al.. (2016). Stat3 contributes to cancer progression by regulating Jab1/Csn5 expression. Oncogene. 36(8). 1069–1079. 50 indexed citations
18.
Wang, Sumei, Yunbao Pan, Tong Xu, et al.. (2016). Hsa-miR-24-3p increases nasopharyngeal carcinoma radiosensitivity by targeting both the 3′UTR and 5′UTR of Jab1/CSN5. Oncogene. 35(47). 6096–6108. 70 indexed citations
19.
Tao, Xu, Bojin Su, Chun‐Hua Wang, et al.. (2015). Molecular markers to assess short-term disease local recurrence in nasopharyngeal carcinoma. Oncology Reports. 33(3). 1418–1426. 15 indexed citations
20.
Pan, Yunbao, Qingxiu Zhang, Ling Tian, et al.. (2012). Jab1/CSN5 Negatively Regulates p27 and Plays a Role in the Pathogenesis of Nasopharyngeal Carcinoma. Cancer Research. 72(7). 1890–1900. 61 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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