Fei Ji

6.4k total citations · 2 hit papers
90 papers, 3.0k citations indexed

About

Fei Ji is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Fei Ji has authored 90 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 38 papers in Cancer Research and 26 papers in Oncology. Recurrent topics in Fei Ji's work include Breast Cancer Treatment Studies (18 papers), RNA modifications and cancer (12 papers) and Cancer-related molecular mechanisms research (11 papers). Fei Ji is often cited by papers focused on Breast Cancer Treatment Studies (18 papers), RNA modifications and cancer (12 papers) and Cancer-related molecular mechanisms research (11 papers). Fei Ji collaborates with scholars based in China, United States and United Kingdom. Fei Ji's co-authors include Ruslan I. Sadreyev, Chad Haynes, Predrag Radivojac, Christopher J. Oldfield, Marc Vidal, Niels Klitgord, Vladimir N. Uversky, Lilia M. Iakoucheva, Michael E. Cusick and Jeannie T. Lee and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Fei Ji

88 papers receiving 3.0k citations

Hit Papers

YTHDF2 promotes the liver cancer stem cell phenotype and ... 2020 2026 2022 2024 2020 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Ji China 29 2.0k 963 570 232 213 90 3.0k
Jie Wang China 29 2.3k 1.1× 1.2k 1.2× 347 0.6× 244 1.1× 236 1.1× 138 3.1k
Jiabin Cai China 27 2.3k 1.2× 1.4k 1.4× 547 1.0× 316 1.4× 228 1.1× 89 3.3k
Kan Lu United States 22 1.9k 1.0× 1.1k 1.1× 868 1.5× 380 1.6× 197 0.9× 38 3.4k
John D. Hooper Australia 35 1.9k 1.0× 1.1k 1.1× 1.1k 1.9× 468 2.0× 156 0.7× 120 4.1k
Markus Rechsteiner Switzerland 24 818 0.4× 597 0.6× 572 1.0× 457 2.0× 126 0.6× 66 1.7k
Niklas Rindtorff Germany 5 1.8k 0.9× 564 0.6× 725 1.3× 231 1.0× 97 0.5× 6 2.6k
Manuela Gariboldi Italy 37 2.2k 1.1× 1.1k 1.1× 1.0k 1.8× 338 1.5× 178 0.8× 104 3.6k
Elisabetta Marangoni France 37 1.8k 0.9× 887 0.9× 1.5k 2.6× 449 1.9× 110 0.5× 111 3.4k
Maurizio Fanciulli Italy 32 2.8k 1.4× 821 0.9× 1.1k 2.0× 221 1.0× 538 2.5× 115 4.0k
Grischa Toedt Germany 26 1.7k 0.9× 591 0.6× 456 0.8× 175 0.8× 123 0.6× 33 2.6k

Countries citing papers authored by Fei Ji

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Ji. A scholar is included among the top collaborators of Fei Ji 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 Fei Ji. Fei Ji 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.
Li, Xi, Ciqiu Yang, Mei Yang, et al.. (2024). CircXPO6 promotes breast cancer progression through competitively inhibiting the ubiquitination degradation of c-Myc. Molecular and Cellular Biochemistry. 480(3). 1731–1745. 5 indexed citations
2.
Huang, Yühong, Teng Zhu, Xiaoling Zhang, et al.. (2023). Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study. EClinicalMedicine. 58. 101899–101899. 94 indexed citations breakdown →
3.
Nakatani, Tsunetoshi, Jiangwei Lin, Fei Ji, et al.. (2022). DNA replication fork speed underlies cell fate changes and promotes reprogramming. Nature Genetics. 54(3). 318–327. 54 indexed citations
4.
Sun, Hengwen, et al.. (2022). Comparisons of Metastatic Patterns, Survival Outcomes and Tumor Immune Microenvironment Between Young and Non-Young Breast Cancer Patients. Frontiers in Cell and Developmental Biology. 10. 923371–923371. 11 indexed citations
5.
Zhang, Liulu, Minyi Cheng, Yuanqi Chen, et al.. (2021). Visualization positioning-guided biopsy of suspicious breast microcalcifications: a retrospective cohort study. Annals of Translational Medicine. 9(21). 1620–1620. 2 indexed citations
6.
Zhang, Junsheng, Ciqiu Yang, Yi Zhang, et al.. (2021). Effects of Surgery on Prognosis of Young Women With Operable Breast Cancer in Different Marital Statuses: A Population-Based Cohort Study. Frontiers in Oncology. 11. 666316–666316. 6 indexed citations
7.
Plummer, Lacey, Maria Stamou, David L. Keefe, et al.. (2021). Phenotypic continuum between Waardenburg syndrome and idiopathic hypogonadotropic hypogonadism in humans with SOX10 variants. Genetics in Medicine. 23(4). 629–636. 9 indexed citations
8.
Liu, Zhenyu, Liulu Zhang, Xuezhi Zhou, et al.. (2020). Multiparametric MRI-based radiomics analysis for the prediction of breast tumor regression patterns after neoadjuvant chemotherapy. Translational Oncology. 13(11). 100831–100831. 32 indexed citations
9.
Gao, Hongfei, Weiping Li, Teng Zhu, et al.. (2020). Adjuvant chemotherapy could benefit early-stage ER/PR positive mucinous breast cancer: A SEER-based analysis. The Breast. 54. 79–87. 5 indexed citations
10.
Rechem, Capucine Van, Fei Ji, Damayanti Chakraborty, et al.. (2020). The lysine demethylase KDM4A controls the cell-cycle expression of replicative canonical histone genes. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1863(10). 194624–194624. 8 indexed citations
11.
Zhang, Chuanzhao, Shanzhou� Huang, Hongkai Zhuang, et al.. (2020). YTHDF2 promotes the liver cancer stem cell phenotype and cancer metastasis by regulating OCT4 expression via m6A RNA methylation. Oncogene. 39(23). 4507–4518. 290 indexed citations breakdown →
12.
Clarke, Thomas L., Ran Tang, Damayanti Chakraborty, et al.. (2019). Histone Lysine Methylation Dynamics Control EGFR DNA Copy-Number Amplification. Cancer Discovery. 10(2). 306–325. 39 indexed citations
13.
Newman, Martin A., Fei Ji, Sylvia E. J. Fischer, et al.. (2018). The surveillance of pre-mRNA splicing is an early step in C. elegans RNAi of endogenous genes. Genes & Development. 32(9-10). 670–681. 24 indexed citations
14.
Kundu, Sharmistha, Fei Ji, Hongjae Sunwoo, et al.. (2017). Polycomb Repressive Complex 1 Generates Discrete Compacted Domains that Change during Differentiation. Molecular Cell. 65(3). 432–446.e5. 237 indexed citations
15.
Hata, Aaron N., Hannah L. Archibald, María Gomez‐Caraballo, et al.. (2017). Synergistic activity and heterogeneous acquired resistance of combined MDM2 and MEK inhibition in KRAS mutant cancers. Oncogene. 36(47). 6581–6591. 28 indexed citations
16.
Chu, Hsueh‐Ping, John E. Froberg, Barry Kesner, et al.. (2017). PAR-TERRA directs homologous sex chromosome pairing. Nature Structural & Molecular Biology. 24(8). 620–631. 39 indexed citations
17.
Ji, Fei, Shunjun Fu, Shunli Shen, et al.. (2015). The prognostic value of combined TGF-β1 and ELF in hepatocellular carcinoma. BMC Cancer. 15(1). 116–116. 41 indexed citations
18.
Zhang, Yanmei, et al.. (2014). Application of two-dimensional electrophoresis and mass spectrometry to screen endometriosis-related proteins. Molecular Medicine Reports. 10(1). 95–100. 1 indexed citations
19.
Haynes, Chad, Christopher J. Oldfield, Fei Ji, et al.. (2006). Intrinsic Disorder Is a Common Feature of Hub Proteins from Four Eukaryotic Interactomes. PLoS Computational Biology. 2(8). e100–e100. 463 indexed citations
20.
Ji, Fei, et al.. (2005). A power study of bivariate LOD score analysis of a complex trait and fear/discomfort with strangers. BMC Genetics. 6(S1). S113–S113. 1 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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