Mengfan Tang

1.4k total citations
43 papers, 962 citations indexed

About

Mengfan Tang is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Mengfan Tang has authored 43 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 12 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in Mengfan Tang's work include DNA Repair Mechanisms (23 papers), CRISPR and Genetic Engineering (15 papers) and Ubiquitin and proteasome pathways (5 papers). Mengfan Tang is often cited by papers focused on DNA Repair Mechanisms (23 papers), CRISPR and Genetic Engineering (15 papers) and Ubiquitin and proteasome pathways (5 papers). Mengfan Tang collaborates with scholars based in United States and China. Mengfan Tang's co-authors include Junjie Chen, Chao Wang, Xu Feng, Huimin Zhang, Zhen Chen, Mrinal Srivastava, Dan Su, Litong Nie, Yun Xiong and Zhou Songyang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Mengfan Tang

41 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengfan Tang United States 18 756 286 125 86 82 43 962
Marco Mernberger Germany 16 708 0.9× 396 1.4× 143 1.1× 190 2.2× 105 1.3× 41 1.1k
Ik Soo Kim South Korea 12 759 1.0× 150 0.5× 83 0.7× 156 1.8× 48 0.6× 19 961
Y-X Zeng China 10 603 0.8× 208 0.7× 61 0.5× 145 1.7× 66 0.8× 10 884
Bert van de Kooij Netherlands 12 760 1.0× 208 0.7× 182 1.5× 111 1.3× 51 0.6× 18 979
Lance R. Thomas United States 20 1.0k 1.3× 230 0.8× 187 1.5× 163 1.9× 38 0.5× 25 1.2k
Stefan Fritz Germany 8 862 1.1× 307 1.1× 223 1.8× 105 1.2× 41 0.5× 10 1.2k
Irit Snir-Alkalay Israel 5 416 0.6× 243 0.8× 104 0.8× 108 1.3× 100 1.2× 8 633
Sylvia Fong United States 19 817 1.1× 344 1.2× 67 0.5× 154 1.8× 100 1.2× 40 1.2k
Vitaly Sedlyarov Austria 16 792 1.0× 286 1.0× 253 2.0× 204 2.4× 36 0.4× 18 1.2k

Countries citing papers authored by Mengfan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Mengfan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengfan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Mengfan Tang. A scholar is included among the top collaborators of Mengfan Tang 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 Mengfan Tang. Mengfan Tang 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.
2.
Nie, Litong, Huimin Zhang, Chao Wang, et al.. (2025). Cell cycle progression of under-replicated cells. Nucleic Acids Research. 53(1).
3.
Yin, Ling, Xiaoding Hu, Guangsheng Pei, et al.. (2024). Genome-wide CRISPR screen reveals the synthetic lethality between BCL2L1 inhibition and radiotherapy. Life Science Alliance. 7(4). e202302353–e202302353. 4 indexed citations
4.
Nie, Litong, Chao Wang, Xiaoguang Liu, et al.. (2023). DePARylation is critical for S phase progression and cell survival. eLife. 12. 9 indexed citations
5.
Zhang, Huimin, Yun Xiong, Yilun Sun, et al.. (2023). RAD54L2-mediated DNA damage avoidance pathway specifically preserves genome integrity in response to topoisomerase 2 poisons. Science Advances. 9(49). eadi6681–eadi6681. 9 indexed citations
6.
Zhang, Huimin, Litong Nie, Chao Wang, et al.. (2023). Genome-Wide CRISPR Screens Reveal ZATT as a Synthetic Lethal Target of TOP2-Poison Etoposide That Can Act in a TDP2-Independent Pathway. International Journal of Molecular Sciences. 24(7). 6545–6545. 3 indexed citations
7.
Feng, Xu, Mengfan Tang, Merve Dede, et al.. (2022). Genome-wide CRISPR screens using isogenic cells reveal vulnerabilities conferred by loss of tumor suppressors. Science Advances. 8(19). eabm6638–eabm6638. 25 indexed citations
8.
Lu, Faming, et al.. (2022). Research on the Construction of Malware Variant Datasets and Their Detection Method. Applied Sciences. 12(15). 7546–7546. 8 indexed citations
9.
Nie, Litong, Chao Wang, Nan Li, et al.. (2020). Proteome-wide Analysis Reveals Substrates of E3 Ligase RNF146 Targeted for Degradation. Molecular & Cellular Proteomics. 19(12). 2015–2030. 13 indexed citations
10.
Su, Dan, Xu Feng, Medina Colic, et al.. (2020). CRISPR/CAS9-based DNA damage response screens reveal gene-drug interactions. DNA repair. 87. 102803–102803. 26 indexed citations
11.
Feng, Xu, Dan Su, Gang Wang, et al.. (2020). Genome-wide CRISPR screen uncovers a synergistic effect of combining Haspin and Aurora kinase B inhibition. Oncogene. 39(21). 4312–4322. 18 indexed citations
12.
Chen, Zhen, Chao Wang, Antrix Jain, et al.. (2020). AMPK Interactome Reveals New Function in Non-homologous End Joining DNA Repair. Molecular & Cellular Proteomics. 19(3). 467–477. 15 indexed citations
13.
Wang, Chao, Zhen Chen, Litong Nie, et al.. (2020). Extracellular signal-regulated kinases associate with and phosphorylate DHPS to promote cell proliferation. Oncogenesis. 9(9). 85–85. 7 indexed citations
14.
Zhang, Zepeng, Tianpeng Zhang, Yuanlong Ge, et al.. (2019). 2D gel electrophoresis reveals dynamics of t-loop formation during the cell cycle and t-loop in maintenance regulated by heterochromatin state. Journal of Biological Chemistry. 294(16). 6645–6656. 5 indexed citations
15.
Wang, Chao, Gang Wang, Xu Feng, et al.. (2018). Genome-wide CRISPR screens reveal synthetic lethality of RNASEH2 deficiency and ATR inhibition. Oncogene. 38(14). 2451–2463. 94 indexed citations
16.
Srivastava, Mrinal, Zhen Chen, Huimin Zhang, et al.. (2018). Replisome Dynamics and Their Functional Relevance upon DNA Damage through the PCNA Interactome. Cell Reports. 25(13). 3869–3883.e4. 31 indexed citations
17.
Chen, Zhen, et al.. (2016). Proteomic Analysis Reveals a Novel Mutator S (MutS) Partner Involved in Mismatch Repair Pathway. Molecular & Cellular Proteomics. 15(4). 1299–1308. 31 indexed citations
18.
He, Quanyuan, Hyeung Kim, Rui Huang, et al.. (2015). The Daxx/Atrx Complex Protects Tandem Repetitive Elements during DNA Hypomethylation by Promoting H3K9 Trimethylation. Cell stem cell. 17(3). 273–286. 107 indexed citations
19.
Tang, Mengfan, Yujing Li, Yi Zhang, et al.. (2014). Disease mutant analysis identifies a novel function of DAXX in telomerase regulation and telomere maintenance. Journal of Cell Science. 128(2). 331–41. 24 indexed citations
20.
Mitchell, David L., Gerald M. Adair, Michael C. MacLeod, Mengfan Tang, & R. S. Nairn. (1995). DNA damage and repair in the initiation phase of carcinogenesis. 47(6). 449–455. 5 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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