Bing Wei

2.4k total citations
121 papers, 1.7k citations indexed

About

Bing Wei is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Bing Wei has authored 121 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Oncology, 37 papers in Pulmonary and Respiratory Medicine and 28 papers in Cancer Research. Recurrent topics in Bing Wei's work include Breast Lesions and Carcinomas (18 papers), HER2/EGFR in Cancer Research (15 papers) and Breast Cancer Treatment Studies (13 papers). Bing Wei is often cited by papers focused on Breast Lesions and Carcinomas (18 papers), HER2/EGFR in Cancer Research (15 papers) and Breast Cancer Treatment Studies (13 papers). Bing Wei collaborates with scholars based in China, United States and Denmark. Bing Wei's co-authors include Hong Bu, Yun Wu, Susan C. Abraham, Zhang Zhang, Huijiao Chen, Hongying Zhang, Constance T. Albarracin, Zhen Tian, David G. Hicks and Ping Tang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Bing Wei

115 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Wei China 22 651 464 426 421 350 121 1.7k
Gianluigi Arrigoni Italy 23 696 1.1× 521 1.1× 380 0.9× 180 0.4× 284 0.8× 59 2.4k
Mishie Tanino Japan 25 533 0.8× 650 1.4× 170 0.4× 497 1.2× 263 0.8× 117 2.3k
Nicky D’Haene Belgium 24 597 0.9× 411 0.9× 203 0.5× 408 1.0× 195 0.6× 95 2.0k
Liesbeth Ferdinande Belgium 26 899 1.4× 481 1.0× 241 0.6× 261 0.6× 112 0.3× 77 2.0k
Liang Mao China 29 1.2k 1.9× 489 1.1× 282 0.7× 372 0.9× 123 0.4× 63 2.7k
Hiroyuki Yanai Japan 25 490 0.8× 563 1.2× 248 0.6× 121 0.3× 209 0.6× 148 2.0k
Petra Rümmele Germany 27 851 1.3× 622 1.3× 223 0.5× 360 0.9× 479 1.4× 67 3.2k
Makoto Hamasaki Japan 31 628 1.0× 976 2.1× 289 0.7× 216 0.5× 130 0.4× 120 2.7k
Bonnie L. Kemp United States 24 765 1.2× 709 1.5× 337 0.8× 558 1.3× 161 0.5× 38 2.5k
Daichi Maeda Japan 28 449 0.7× 295 0.6× 373 0.9× 382 0.9× 429 1.2× 91 2.5k

Countries citing papers authored by Bing Wei

Since Specialization
Citations

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

Fields of papers citing papers by Bing Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Wei. A scholar is included among the top collaborators of Bing 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 Bing Wei. Bing 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.
Zhang, Zhang, et al.. (2025). Adenoid cystic carcinoma of the breast: Molecular profiling updates and multidimensional detection of MYB. Pathology - Research and Practice. 272. 156091–156091. 2 indexed citations
2.
Chen, Fei, Jinghe Lang, Peter Hillemanns, et al.. (2024). APL-1702 long-term efficacy and safety for cervical histologic, high-grade squamous intraepithelial lesions: Results from a randomized, phase III, global study. Gynecologic Oncology. 190. S60–S60. 1 indexed citations
3.
Chen, Min, et al.. (2022). Genomic landscape of secretory carcinoma of the breast with axillary lymph node metastasis. Pathology - Research and Practice. 231. 153790–153790. 4 indexed citations
4.
Shi, Chao, Bing Wei, Xiaohui Liu, et al.. (2022). Implementation of a pathological diagnosis and treatment pathway may improve the molecular detection of lung cancer. Annals of Translational Medicine. 10(2). 45–45. 1 indexed citations
5.
Bu, Hong, et al.. (2021). Clinical and genomic analyses of neuroendocrine neoplasms of the breast. Modern Pathology. 35(4). 495–505. 10 indexed citations
6.
Yang, Chao, Guilin Peng, Mengyang Liu, et al.. (2019). Eleven cases of heart-lung transplantation: a single centre experience. 13(4). 284–287. 1 indexed citations
7.
Wei, Bing, Ди Шао, Qing Yang, et al.. (2018). A Novel Next-Generation Sequencing Approach without Donor-Derived Material for Acute Rejection and Infection Monitoring in Solid Organ Transplantation. Journal of Cancer Therapy. 9(9). 623–638. 1 indexed citations
8.
Tian, Yingying, Jiuzhou Zhao, Pengfei Ren, et al.. (2018). Different subtypes of EGFR exon19 mutation can affect prognosis of patients with non-small cell lung adenocarcinoma. PLoS ONE. 13(11). e0201682–e0201682. 19 indexed citations
9.
Dai, James Y., Xiaoyu Wang, Matthew F. Buas, et al.. (2018). Whole-genome sequencing of esophageal adenocarcinoma in Chinese patients reveals distinct mutational signatures and genomic alterations. Communications Biology. 1(1). 174–174. 6 indexed citations
10.
Wei, Bing, Peng Li, Ke Yang, et al.. (2017). Prognostic value of plasma EGFR ctDNA in NSCLC patients treated with EGFR-TKIs. PLoS ONE. 12(3). e0173524–e0173524. 14 indexed citations
11.
Yang, Wenjuan, Bing Wei, Min Chen, & Hong Bu. (2015). [Evaluation of immunohistochemistry HER2 results interpretation in invasive micropapillary carcinoma of the breast].. PubMed. 44(1). 48–52. 6 indexed citations
12.
Qiu, Yan, Tianjie Pu, Peng Guo, et al.. (2015). ALDH+/CD44+ cells in breast cancer are associated with worse prognosis and poor clinical outcome. Experimental and Molecular Pathology. 100(1). 145–150. 20 indexed citations
13.
Tang, Ping, et al.. (2011). [Prognostic factors of breast cancer].. PubMed. 40(2). 73–6. 3 indexed citations
14.
Tang, Feng, Bing Wei, Zhen Tian, et al.. (2011). Invasive mammary carcinoma with neuroendocrine differentiation: histological features and diagnostic challenges. Histopathology. 59(1). 106–115. 50 indexed citations
15.
Tang, Ping, Bing Wei, David G. Hicks, Kristin A. Skinner, & Hong Bu. (2009). [Molecular phenotypes of breast cancer and their clinical application].. PubMed. 38(1). 13–7. 1 indexed citations
16.
Qi, Ke, Hongying Zhang, Hong Bu, et al.. (2007). Clinicopathologic features of pleomorphic hyalinizing angiectatic tumor of soft parts. Chinese Medical Journal. 120(10). 876–881. 29 indexed citations
17.
Guo, Hua, Bing Wei, Hongying Zhang, et al.. (2005). [HER2 expression and its prognostic implication in lymph node negative breast carcinoma: a Meta-analysis].. PubMed. 34(3). 140–6. 5 indexed citations
18.
Liu, Zhenzhen, Hengwei Zhang, Bing Wei, & Shude Cui. (2004). [Correlation of expression of heparanase to angiogenesis and prognosis of breast cancer].. PubMed. 23(11). 1342–5. 4 indexed citations
19.
Zhang, Jingli, Hongying Zhang, Hong Bu, et al.. (2003). Comparison between expression of Ki-67 and PCNA in breast carcinoma. Experimental Pathology. 19(1). 70–72.
20.
Wei, Bing, Junbao Du, Jianguang Qi, Li Jian, & Chaoshu Tang. (2002). l-Arginine Impacts Pulmonary Vascular Structure in Rats with an Aortocaval Shunt. Journal of Surgical Research. 108(1). 20–31. 18 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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