Feng Bi

7.7k total citations · 3 hit papers
141 papers, 4.4k citations indexed

About

Feng Bi is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Feng Bi has authored 141 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Oncology, 55 papers in Pulmonary and Respiratory Medicine and 36 papers in Molecular Biology. Recurrent topics in Feng Bi's work include Colorectal Cancer Treatments and Studies (30 papers), Gastric Cancer Management and Outcomes (26 papers) and Cancer Treatment and Pharmacology (13 papers). Feng Bi is often cited by papers focused on Colorectal Cancer Treatments and Studies (30 papers), Gastric Cancer Management and Outcomes (26 papers) and Cancer Treatment and Pharmacology (13 papers). Feng Bi collaborates with scholars based in China, United States and South Korea. Feng Bi's co-authors include Qiulin Tang, Qiyong Gong, Hongwei Xia, Xiaoqi Huang, Huanji Xu, Su Lui, Gongmin Zhu, Lijiao Pei, Di Ye and Yuxian Bai and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Feng Bi

134 papers receiving 4.4k citations

Hit Papers

Regorafenib plus best supportive care versus placebo plus... 2015 2026 2018 2022 2015 2021 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Bi China 33 1.6k 1.4k 1.0k 996 823 141 4.4k
José Trigo Spain 38 2.6k 1.6× 1.6k 1.1× 470 0.4× 1.6k 1.6× 298 0.4× 165 5.8k
Qiang Hu China 39 830 0.5× 2.1k 1.5× 962 0.9× 589 0.6× 397 0.5× 193 4.5k
Howard West United States 35 4.8k 3.0× 2.0k 1.4× 1.0k 1.0× 4.9k 4.9× 216 0.3× 190 8.6k
Akiva Mintz United States 39 1.1k 0.7× 2.1k 1.4× 747 0.7× 523 0.5× 104 0.1× 175 5.9k
Koichi Okamoto Japan 37 776 0.5× 1.4k 1.0× 257 0.2× 889 0.9× 168 0.2× 268 4.3k
Yutaka Fujiwara Japan 38 2.7k 1.7× 1.6k 1.1× 801 0.8× 1.8k 1.8× 55 0.1× 257 5.1k
Jo Van Dorpe Belgium 31 660 0.4× 1.7k 1.2× 396 0.4× 516 0.5× 88 0.1× 181 5.0k
Gabriele Tancini Italy 36 2.0k 1.3× 832 0.6× 1.3k 1.3× 736 0.7× 111 0.1× 201 5.4k
Susanne Englisch Germany 21 615 0.4× 915 0.6× 1.3k 1.2× 480 0.5× 412 0.5× 46 2.9k
Sylvie Giacchetti France 43 4.2k 2.7× 742 0.5× 1.4k 1.3× 1.5k 1.5× 124 0.2× 122 7.7k

Countries citing papers authored by Feng Bi

Since Specialization
Citations

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

Fields of papers citing papers by Feng Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Bi. A scholar is included among the top collaborators of Feng Bi 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 Feng Bi. Feng Bi 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.
Ye, Di, et al.. (2024). Targeting the MHC-I endosomal-lysosomal trafficking pathway in cancer: From mechanism to immunotherapy. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1879(5). 189161–189161. 5 indexed citations
2.
Zhang, Chenliang, Huanji Xu, Qiulin Tang, et al.. (2024). CaMKII suppresses proteotoxicity by phosphorylating BAG3 in response to proteasomal dysfunction. EMBO Reports. 25(10). 4488–4514. 2 indexed citations
3.
Tang, Qiulin, Huanji Xu, Hongwei Xia, et al.. (2024). Endogenous Coriobacteriaceae enriched by a high-fat diet promotes colorectal tumorigenesis through the CPT1A-ERK axis. npj Biofilms and Microbiomes. 10(1). 5–5. 21 indexed citations
5.
Hong, Luo, et al.. (2023). Complexity Metrics and Planning Dose-Based Pretreatment Patient-Specific Quality Assurance Prediction: Classification, Gamma Passing Rates, and DVH Deviation. International Journal of Radiation Oncology*Biology*Physics. 117(2). e371–e372.
6.
Qin, Shukui, Jiafu Ji, Rui‐Hua Xu, et al.. (2021). Treatment Patterns and Outcomes in Chinese Patients with Gastric Cancer by HER2 Status: A Noninterventional Registry Study (EVIDENCE). The Oncologist. 26(9). e1567–e1580. 23 indexed citations
7.
Zhu, Gongmin, Lijiao Pei, Hongwei Xia, Qiulin Tang, & Feng Bi. (2021). Role of oncogenic KRAS in the prognosis, diagnosis and treatment of colorectal cancer. Molecular Cancer. 20(1). 143–143. 265 indexed citations breakdown →
10.
Ma, Ji, Zhenhai Fan, Qiulin Tang, et al.. (2020). Aspirin attenuates YAP and β-catenin expression by promoting β-TrCP to overcome docetaxel and vinorelbine resistance in triple-negative breast cancer. Cell Death and Disease. 11(7). 530–530. 14 indexed citations
11.
Zhou, Lin, Shuqun Zhang, Lu Jiang, et al.. (2019). The β-galactoside α2,6-sialyltranferase 1 (ST6GAL1) inhibits the colorectal cancer metastasis by stabilizing intercellular adhesion molecule-1 via sialylation. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Zhou, Sheng, Hongwei Xia, Huanji Xu, et al.. (2018). ERRα suppression enhances the cytotoxicity of the MEK inhibitor trametinib against colon cancer cells. Journal of Experimental & Clinical Cancer Research. 37(1). 218–218. 26 indexed citations
13.
Bekaii‐Saab, Tanios, Richard D. Kim, Tae Won Kim, et al.. (2018). Third- or Later-line Therapy for Metastatic Colorectal Cancer: Reviewing Best Practice. Clinical Colorectal Cancer. 18(1). e117–e129. 62 indexed citations
15.
Li, Lei, Du Lei, Lingjiang Li, et al.. (2016). White Matter Abnormalities in Post-traumatic Stress Disorder Following a Specific Traumatic Event. EBioMedicine. 4. 176–183. 48 indexed citations
16.
Yang, Xun, Siqi Wang, Keith M. Kendrick, et al.. (2015). Sex differences in intrinsic brain functional connectivity underlying human shyness. Social Cognitive and Affective Neuroscience. 10(12). 1634–1643. 17 indexed citations
17.
Liu, Ming, Meng Qiu, Lang Nan, et al.. (2011). miR-21 targets the tumor suppressor RhoB and regulates proliferation, invasion and apoptosis in colorectal cancer cells. FEBS Letters. 585(19). 2998–3005. 105 indexed citations
18.
Gong, Fengming, Xingchen Peng, Benxu Tan, et al.. (2011). Comparative proteomic analysis of irinotecan-sensitive colorectal carcinoma cell line and its chemoresistant counterpart. Anti-Cancer Drugs. 22(6). 500–506. 7 indexed citations
19.
Zhu, Yajie, Meng Qiu, Jitao Zhou, et al.. (2010). [Analysis of the P53 transcriptional activity in gastric cancer].. PubMed. 27(1). 60–5. 1 indexed citations
20.
Wang, Xin, Yongsheng Wang, Meng Qiu, et al.. (2010). Postoperative chemoradiotherapy in gastric cancer: a phase I study of radiotherapy with dose escalation of oxaliplatin, 5-fluorouracil, and leucovorin (FOLFOX regimen). Medical Oncology. 28(S1). 274–279. 12 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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