Xinyu Lv

411 total citations · 1 hit paper
8 papers, 259 citations indexed

About

Xinyu Lv is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xinyu Lv has authored 8 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Xinyu Lv's work include Cancer, Hypoxia, and Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer Cells and Metastasis (2 papers). Xinyu Lv is often cited by papers focused on Cancer, Hypoxia, and Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer Cells and Metastasis (2 papers). Xinyu Lv collaborates with scholars based in China and Australia. Xinyu Lv's co-authors include Xiaofeng Dai, Yingying Lv, Kostya Ostrikov, Erik W. Thompson, Yixin Li, Shan‐Liang Sun, Xiaozhu Tang, Ye Yang, Yang Ye and Ling Wang and has published in prestigious journals such as Free Radical Biology and Medicine, Trends in Genetics and International Journal of Biological Macromolecules.

In The Last Decade

Xinyu Lv

7 papers receiving 255 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Lactate, histone lactylation and cancer hallmarks

2023 115 citations Xinyu Lv, Yingying Lv et al. Expert Reviews in Molecular Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xinyu Lv China	4	186	130	35	32	26	8	259
Weijun Hong China	9	137 0.7×	107 0.8×	39 1.1×	22 0.7×	25 1.0×	20	227
Ping Sun China	3	193 1.0×	107 0.8×	55 1.6×	24 0.8×	27 1.0×	4	303
Lianghui Shi China	8	187 1.0×	103 0.8×	22 0.6×	48 1.5×	70 2.7×	17	282
Dong‐In Koh South Korea	10	223 1.2×	64 0.5×	23 0.7×	19 0.6×	49 1.9×	25	290
Haitao Lan China	11	195 1.0×	139 1.1×	17 0.5×	54 1.7×	36 1.4×	23	324
William R. Burns United States	4	199 1.1×	169 1.3×	69 2.0×	23 0.7×	79 3.0×	11	332
W. Marston Linehan United States	5	248 1.3×	200 1.5×	24 0.7×	49 1.5×	35 1.3×	7	356
Wiam Bshara United States	8	183 1.0×	46 0.4×	48 1.4×	47 1.5×	34 1.3×	8	263

Countries citing papers authored by Xinyu Lv

Since Specialization

Citations

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

Fields of papers citing papers by Xinyu Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyu Lv

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

All Works

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8 of 8 papers shown

1.

Wang, Ling, Jie Min, Jinjun Qian, et al.. (2025). SAE1 promotes tumor cell malignancy via SUMOylation and liquid–liquid phase separation facilitated nuclear export of p27. Acta Pharmaceutica Sinica B. 15(4). 1991–2007. 1 indexed citations

2.

Lv, Xinyu, et al.. (2025). Cold atmospheric plasma targets triple negative breast cancer cells via SCAF11-mediated competitive protein degradation and synergizes with miRNA-146b-5p. International Journal of Biological Macromolecules. 312. 144142–144142.

3.

Lv, Xinyu, et al.. (2025). CD44 is a nexus between prognosis and therapeutics for brain cancer management. Computers in Biology and Medicine. 189. 109869–109869. 1 indexed citations

4.

Lv, Xinyu, et al.. (2025). Spermidine antagonizes the anti-cancer effect of cold atmospheric plasma and induces transit G0/G1 cell cycle arrest of triple negative breast cancers. Free Radical Biology and Medicine. 229. 30–38. 5 indexed citations

5.

Yu, Xichao, Mengjie Guo, Xiaozhu Tang, et al.. (2025). Extracellular vesicle-mediated delivery of circp53 suppresses the progression of multiple cancers by activating the CypD/TRAP/HSP90 pathway. Experimental & Molecular Medicine. 57(8). 1711–1726. 2 indexed citations

6.

Lv, Xinyu, Yingying Lv, & Xiaofeng Dai. (2023). Lactate, histone lactylation and cancer hallmarks. Expert Reviews in Molecular Medicine. 25. e7–e7. 115 indexed citations breakdown →

7.

Lv, Xinyu, et al.. (2023). IFNγ synergies with cold atmospheric plasma in triggering colorectal cancer cell ferroptosis via the IFNγ/IFNR2/APC/TCF4/GPX4 axis. Aging. 15(17). 8692–8711. 13 indexed citations

8.

Dai, Xiaofeng, Xinyu Lv, Erik W. Thompson, & Kostya Ostrikov. (2021). Histone lactylation: epigenetic mark of glycolytic switch. Trends in Genetics. 38(2). 124–127. 122 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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