Litong Nie

2.9k total citations · 2 hit papers
31 papers, 1.9k citations indexed

About

Litong Nie is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Litong Nie has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in Litong Nie's work include DNA Repair Mechanisms (8 papers), CRISPR and Genetic Engineering (6 papers) and Ubiquitin and proteasome pathways (6 papers). Litong Nie is often cited by papers focused on DNA Repair Mechanisms (8 papers), CRISPR and Genetic Engineering (6 papers) and Ubiquitin and proteasome pathways (6 papers). Litong Nie collaborates with scholars based in United States and China. Litong Nie's co-authors include Junjie Chen, Chao Wang, Xiaoguang Liu, Boyi Gan, Chao Mao, Li Zhuang, Guang Lei, Yilei Zhang, Traver Hart and Masha V. Poyurovsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Litong Nie

29 papers receiving 1.9k citations

Hit Papers

Actin cytoskeleton vulnerability to disulfide stress... 2021 2026 2022 2024 2023 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Litong Nie United States 16 1.2k 812 634 320 223 31 1.9k
Chen Zhang China 21 1.3k 1.0× 977 1.2× 709 1.1× 366 1.1× 316 1.4× 89 2.2k
Dong Lin Canada 30 1.7k 1.4× 1.1k 1.4× 1.0k 1.6× 593 1.9× 210 0.9× 99 2.9k
Haoming Lin China 16 1.1k 0.9× 513 0.6× 784 1.2× 237 0.7× 200 0.9× 47 1.8k
Koji Fukuda Japan 23 1.4k 1.1× 614 0.8× 783 1.2× 974 3.0× 164 0.7× 86 2.5k
Xi Jin China 26 1.3k 1.0× 668 0.8× 1.0k 1.6× 775 2.4× 326 1.5× 83 2.5k
Sunil Sudarshan United States 26 1.3k 1.0× 630 0.8× 644 1.0× 205 0.6× 141 0.6× 61 1.8k
Chandra Goparaju United States 25 924 0.8× 1.1k 1.3× 415 0.7× 340 1.1× 181 0.8× 37 2.2k
Ying Shi China 22 1.3k 1.1× 612 0.8× 927 1.5× 222 0.7× 161 0.7× 59 1.8k
Silvia von Karstedt Germany 17 1.8k 1.5× 761 0.9× 740 1.2× 566 1.8× 608 2.7× 32 2.5k

Countries citing papers authored by Litong Nie

Since Specialization
Citations

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

Fields of papers citing papers by Litong Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Litong Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Litong Nie. A scholar is included among the top collaborators of Litong Nie 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 Litong Nie. Litong Nie 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.
Liu, Xiaoguang, Zhen Chen, Yuelong Yan, et al.. (2024). Proteomic analysis of ferroptosis pathways reveals a role of CEPT1 in suppressing ferroptosis. Protein & Cell. 15(9). 686–703. 19 indexed citations
4.
Li, Siting, Mengfan Tang, Yun Xiong, et al.. (2024). Systematic investigation of BRCA1-A, -B, and -C complexes and their functions in DNA damage response and DNA repair. Oncogene. 43(35). 2621–2634. 3 indexed citations
5.
Nie, Litong, Chao Wang, Xiaoguang Liu, et al.. (2023). DePARylation is critical for S phase progression and cell survival. eLife. 12. 9 indexed citations
6.
Liu, Xiaoguang, Litong Nie, Yilei Zhang, et al.. (2023). Actin cytoskeleton vulnerability to disulfide stress mediates disulfidptosis. Nature Cell Biology. 25(3). 404–414. 648 indexed citations breakdown →
7.
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
8.
Nie, Litong, Chao Wang, Dan Su, et al.. (2023). FACS-based genome-wide CRISPR screens define key regulators of DNA damage signaling pathways. Molecular Cell. 83(15). 2810–2828.e6. 13 indexed citations
9.
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
10.
Liu, Chang‐Mei, Litong Nie, Lixia Fan, et al.. (2022). Discovery of toxoflavin, a potent IRE1α inhibitor acting through structure-dependent oxidative inhibition. Acta Pharmacologica Sinica. 44(1). 234–243. 4 indexed citations
11.
Hang, Qinglei, Liyong Zeng, Li Wang, et al.. (2021). Non-canonical function of DGCR8 in DNA double-strand break repair signaling and tumor radioresistance. Nature Communications. 12(1). 4033–4033. 17 indexed citations
12.
Gong, Yanqiu, Litong Nie, & Lunzhi Dai. (2021). Beyond proteins: Ubiquitylation of lipopolysaccharide to fight bacteria. SHILAP Revista de lepidopterología. 2(4). 855–857. 4 indexed citations
13.
Zhang, Yilei, Robert V. Swanda, Litong Nie, et al.. (2021). mTORC1 couples cyst(e)ine availability with GPX4 protein synthesis and ferroptosis regulation. Nature Communications. 12(1). 1589–1589. 533 indexed citations breakdown →
14.
Azizian, Nancy G., Delaney K. Sullivan, Litong Nie, et al.. (2020). Selective Labeling and Identification of the Tumor Cell Proteome of Pancreatic Cancer In Vivo. Journal of Proteome Research. 20(1). 858–866. 12 indexed citations
15.
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
16.
Srivastava, Mrinal, Dan Su, Huimin Zhang, et al.. (2020). HMCES safeguards replication from oxidative stress and ensures error‐free repair. EMBO Reports. 21(6). e49123–e49123. 28 indexed citations
17.
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
18.
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
19.
Dai, Xiaoyang, Juan Yan, Xuhong Fu, et al.. (2017). Aspirin Inhibits Cancer Metastasis and Angiogenesis via Targeting Heparanase. Clinical Cancer Research. 23(20). 6267–6278. 98 indexed citations
20.
Nie, Litong, Lin Shuai, Mingrui Zhu, et al.. (2017). The Landscape of Histone Modifications in a High-Fat Diet-Induced Obese (DIO) Mouse Model. Molecular & Cellular Proteomics. 16(7). 1324–1334. 71 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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