Zhefu Ma

837 total citations
12 papers, 634 citations indexed

About

Zhefu Ma is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Zhefu Ma has authored 12 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Zhefu Ma's work include DNA Repair Mechanisms (6 papers), PARP inhibition in cancer therapy (3 papers) and CRISPR and Genetic Engineering (2 papers). Zhefu Ma is often cited by papers focused on DNA Repair Mechanisms (6 papers), PARP inhibition in cancer therapy (3 papers) and CRISPR and Genetic Engineering (2 papers). Zhefu Ma collaborates with scholars based in United States and China. Zhefu Ma's co-authors include Junran Zhang, Shannon L. Gibson, Simon N. Powell, Morris F. White, Alejandro D. Treszezamsky, Susana Gonzalo, Joseph L. Roti Roti, Ignacio González-Suárez, Shenming Wang and Honghong Chen and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Oncogene.

In The Last Decade

Zhefu Ma

12 papers receiving 628 citations

Peers

Zhefu Ma

MB

ONCOL

CR

EDM

GENET

Boris Freydin United States

Azadeh Arabi Iran

Shannon L. Gibson United States

Craig I. Campbell Canada

Tao Hai China

Matteo Toller Italy

Naila Chughtai Canada

Jason P. Frazier United States

Verónica Calvo United States

Xiaomei Sui China

Boris Freydin United States

Zhefu Ma

241 ×0.4

MB

274 ×1.1

ONCOL

117 ×0.8

CR

58 ×0.7

EDM

68 ×1.3

GENET

Citations per year, relative to Zhefu Ma Zhefu Ma (= 1×) peers Boris Freydin

Countries citing papers authored by Zhefu Ma

Since Specialization

Citations

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

Fields of papers citing papers by Zhefu Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhefu Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Zhefu Ma. A scholar is included among the top collaborators of Zhefu Ma 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 Zhefu Ma. Zhefu Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Liu, Tao, et al.. (2019). NEDD4 expression is associated with breast cancer progression and is predictive of a poor prognosis. Breast Cancer Research. 21(1). 148–148. 24 indexed citations

2.

Yang, Xiaosong, Pan You, Zhaojun Qiu, et al.. (2018). RNF126 as a Biomarker of a Poor Prognosis in Invasive Breast Cancer and CHEK1 Inhibitor Efficacy in Breast Cancer Cells. Clinical Cancer Research. 24(7). 1629–1643. 30 indexed citations

3.

Zhang, Yao, Jinzhi Lai, Zhanwen Du, et al.. (2016). Targeting radioresistant breast cancer cells by single agent CHK1 inhibitor via enhancing replication stress. Oncotarget. 7(23). 34688–34702. 26 indexed citations

4.

Xia, Haoming, Jianting Long, Ruifen Zhang, Xiaosong Yang, & Zhefu Ma. (2015). MiR-32 contributed to cell proliferation of human breast cancer cells by suppressing of PHLPP2 expression. Biomedicine & Pharmacotherapy. 75. 105–110. 16 indexed citations

5.

Wang, Yijun, Zhiying Feng, Zhijun Du, et al.. (2015). RNF126 promotes homologous recombination via regulation of E2F1-mediated BRCA1 expression. Oncogene. 35(11). 1363–1372. 39 indexed citations

6.

Chen, Honghong, Zhefu Ma, Robert P. Vanderwaal, et al.. (2010). The mTOR Inhibitor Rapamycin Suppresses DNA Double-Strand Break Repair. Radiation Research. 175(2). 214–214. 82 indexed citations

7.

Shi, Wei, Zhefu Ma, Henning Willers, et al.. (2008). Disassembly of MDC1 Foci Is Controlled by Ubiquitin-Proteasome-dependent Degradation. Journal of Biological Chemistry. 283(46). 31608–31616. 56 indexed citations

8.

Gibson, Shannon L., et al.. (2007). Divergent Roles for IRS-1 and IRS-2 in Breast Cancer Metastasis. Cell Cycle. 6(6). 631–637. 82 indexed citations

9.

Gibson, Shannon L., et al.. (2007). Divergent roles for IRS-1 and IRS-2 in breast cancer metastasis. Cell Cycle. 12 indexed citations

10.

Ma, Zhefu, et al.. (2006). Suppression of Insulin Receptor Substrate 1 (IRS-1) Promotes Mammary Tumor Metastasis. Molecular and Cellular Biology. 26(24). 9338–9351. 67 indexed citations

11.

Zhang, Junran, Zhefu Ma, Alejandro D. Treszezamsky, & Simon N. Powell. (2005). MDC1 interacts with Rad51 and facilitates homologous recombination. Nature Structural & Molecular Biology. 12(10). 902–909. 101 indexed citations

12.

Ma, Zhefu, et al.. (2004). Involvement of Insulin Receptor Substrate 2 in Mammary Tumor Metastasis. Molecular and Cellular Biology. 24(22). 9726–9735. 99 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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