Ran Wei

3.5k total citations
108 papers, 1.7k citations indexed

About

Ran Wei is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Ran Wei has authored 108 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 32 papers in Pulmonary and Respiratory Medicine and 30 papers in Oncology. Recurrent topics in Ran Wei's work include Advanced Breast Cancer Therapies (18 papers), Gastric Cancer Management and Outcomes (9 papers) and Breast Cancer Treatment Studies (7 papers). Ran Wei is often cited by papers focused on Advanced Breast Cancer Therapies (18 papers), Gastric Cancer Management and Outcomes (9 papers) and Breast Cancer Treatment Studies (7 papers). Ran Wei collaborates with scholars based in China, United States and United Kingdom. Ran Wei's co-authors include Hang Fai Kwok, Libin Guo, Yao Lin, Qi Li, Chris Shaw, Gráinne McAlonan, Siew E. Chua, Charlton Cheung, EX Wu and Edward S. Hui and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Nano Letters.

In The Last Decade

Ran Wei

98 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ran Wei China 23 745 346 283 238 173 108 1.7k
Jie Ma China 28 1.4k 1.8× 585 1.7× 155 0.5× 594 2.5× 294 1.7× 123 2.5k
Attila E. Farkas Hungary 28 1.2k 1.6× 427 1.2× 208 0.7× 140 0.6× 154 0.9× 60 2.6k
Teresa L. Johnson‐Pais United States 24 1.5k 2.0× 388 1.1× 361 1.3× 182 0.8× 316 1.8× 66 2.3k
Jatin Nagpal United States 27 1.3k 1.7× 363 1.0× 157 0.6× 257 1.1× 76 0.4× 47 2.0k
Kieran Wynne Ireland 30 1.7k 2.3× 258 0.7× 218 0.8× 253 1.1× 209 1.2× 96 2.8k
Wendy Lee United States 25 947 1.3× 485 1.4× 127 0.4× 162 0.7× 83 0.5× 56 2.6k
Christian Bernreuther Germany 34 1.4k 1.9× 336 1.0× 157 0.6× 260 1.1× 146 0.8× 75 3.3k
Daniel Ho United States 17 1.5k 2.0× 352 1.0× 107 0.4× 181 0.8× 313 1.8× 18 2.3k
Cun Zhang China 20 734 1.0× 308 0.9× 150 0.5× 391 1.6× 53 0.3× 100 1.5k
Heming Wu China 27 1.1k 1.5× 455 1.3× 206 0.7× 616 2.6× 103 0.6× 133 2.4k

Countries citing papers authored by Ran Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ran Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ran Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Ran Wei. A scholar is included among the top collaborators of Ran Wei 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 Ran Wei. Ran Wei 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.
Meng, Fanju, Xuebin Zhang, Ran Wei, et al.. (2025). Histone Lactylation Antagonizes Senescence and Skeletal Muscle Aging by Modulating Aging‐Related Pathways. Advanced Science. 12(22). e2412747–e2412747. 5 indexed citations
2.
Wei, Ran, Jue Wang, Haochen Wang, et al.. (2025). A single-cell transcriptomic landscape characterizes the endocrine system aging in the mouse. Protein & Cell. 17(1). 27–45. 1 indexed citations
3.
4.
Goetz, Matthew P., İrfan Çiçin, Laura Testa, et al.. (2024). Impact of dose reductions on adjuvant abemaciclib efficacy for patients with high-risk early breast cancer: analyses from the monarchE study. npj Breast Cancer. 10(1). 34–34. 12 indexed citations
5.
Wei, Ran, Xiao Chu, Tao Fan, et al.. (2024). Tumor-derived KLK8 predicts inferior survival and promotes an immune-suppressive tumor microenvironment in lung squamous cell carcinoma. BMC Pulmonary Medicine. 24(1). 53–53. 2 indexed citations
6.
Zhang, Liping, et al.. (2024). LncRNA-FGD5-AS1 promotes 5-Fu resistance of cervical cancer cells through modulating the miR-130a-3p-YTHDF2 axis. Journal of Chemotherapy. 37(8). 710–722. 1 indexed citations
7.
Yao, Qianlan, Min Ren, Tian Xue, et al.. (2024). Clinicopathological Features of CCDC6-RET and NCOA4-RET Fusions in Thyroid Cancer: A Single-Center Retrospective Cohort Study in a Chinese Population. Thyroid. 34(10). 1260–1270. 1 indexed citations
8.
O’Shaughnessy, Joyce, Laura Testa, Sara M. Tolaney, et al.. (2023). 274P Impact of dose reductions on efficacy of adjuvant abemaciclib for patients with high-risk early breast cancer (EBC): Analyses from the monarchE study. Annals of Oncology. 34. S293–S293. 1 indexed citations
9.
10.
Ni, Lan, Azhar Khan, Amanda Long, et al.. (2023). Optimizing the Dosing Regimen of Cetuximab and Ramucirumab Using the Model‐Informed Drug Development Paradigm. Clinical Pharmacology & Therapeutics. 114(1). 77–87. 3 indexed citations
11.
12.
Guan, Xu, Chenxi Ma, Jichuan Quan, et al.. (2021). A novel risk stratification for predicting prognosis of colorectal cancer patients with bone metastasis. Journal of Gastrointestinal Oncology. 12(3). 933–943. 1 indexed citations
13.
O’Shaughnessy, Joyce, Priya Rastogi, Nadia Harbeck, et al.. (2021). VP8-2021: Adjuvant abemaciclib combined with endocrine therapy (ET): Updated results from monarchE. Annals of Oncology. 32(12). 1646–1649. 5 indexed citations
14.
Li, Chunxiang, Jichuan Quan, Ran Wei, et al.. (2020). Leptin Overexpression as a Poor Prognostic Factor for Colorectal Cancer. BioMed Research International. 2020(1). 7532514–7532514. 9 indexed citations
15.
Guo, Libin, Ran Wei, Yao Lin, & Hang Fai Kwok. (2020). Clinical and Recent Patents Applications of PD-1/PD-L1 Targeting Immunotherapy in Cancer Treatment—Current Progress, Strategy, and Future Perspective. Frontiers in Immunology. 11. 1508–1508. 65 indexed citations
16.
Johnston, Stephen, Nadia Harbeck, Roberto Hegg, et al.. (2020). LBA5_PR Abemaciclib in high risk early breast cancer. Annals of Oncology. 31. S1143–S1144. 2 indexed citations
17.
Roeland, Eric, Ran Wei, Anindya Chatterjee, et al.. (2019). Analysis of weight loss as a prognostic factor in patients with advanced gastric cancer from the Phase 3 RAINBOW study. Annals of Oncology. 30. iv111–iv111. 1 indexed citations
18.
Wei, Ran, Peng Lyu, Shudong Zhang, et al.. (2017). Clinical and in vitro analysis of Osteopontin as a prognostic indicator and unveil its potential downstream targets in bladder cancer. International Journal of Biological Sciences. 13(11). 1373–1386. 24 indexed citations
19.
Wei, Ran, et al.. (2017). Osteopontin -- a promising biomarker for cancer therapy. Journal of Cancer. 8(12). 2173–2183. 118 indexed citations
20.
Liu, Huadong, Eiichiro Mori, Xuguang Liu, et al.. (2013). A Method for Systematic Mapping of Protein Lysine Methylation Identifies Functions for HP1β in DNA Damage Response. Molecular Cell. 50(5). 723–735. 83 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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