Jing Lv

2.1k total citations · 1 hit paper
87 papers, 1.3k citations indexed

About

Jing Lv is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Jing Lv has authored 87 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 21 papers in Pulmonary and Respiratory Medicine and 20 papers in Surgery. Recurrent topics in Jing Lv's work include Esophageal Cancer Research and Treatment (10 papers), Gastric Cancer Management and Outcomes (9 papers) and RNA modifications and cancer (9 papers). Jing Lv is often cited by papers focused on Esophageal Cancer Research and Treatment (10 papers), Gastric Cancer Management and Outcomes (9 papers) and RNA modifications and cancer (9 papers). Jing Lv collaborates with scholars based in China, Kazakhstan and United Kingdom. Jing Lv's co-authors include Heping Zhao, Yan Yu, Lei Guo, Jie Pu, Jun-Ye Liu, Wenjuan Yang, Lei Guo, Sanfeng Chen, Jijun Liu and Haojie Jin and has published in prestigious journals such as Nature, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jing Lv

80 papers receiving 1.3k citations

Hit Papers

Updates on global epidemiology, risk and prognostic facto... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Lv China 17 601 308 235 229 216 87 1.3k
Lina Liu China 19 566 0.9× 324 1.1× 267 1.1× 101 0.4× 237 1.1× 89 1.4k
Chao Yuan China 19 600 1.0× 275 0.9× 189 0.8× 230 1.0× 248 1.1× 95 1.8k
Junying Xu China 21 361 0.6× 189 0.6× 223 0.9× 86 0.4× 376 1.7× 72 1.1k
Zhihua Yang China 26 874 1.5× 298 1.0× 258 1.1× 124 0.5× 305 1.4× 108 1.9k
Karen Uray United States 19 487 0.8× 88 0.3× 141 0.6× 258 1.1× 247 1.1× 57 1.3k
Shinichiro Fukuhara Japan 22 934 1.6× 680 2.2× 214 0.9× 100 0.4× 155 0.7× 116 1.7k
Heng Yang China 18 756 1.3× 498 1.6× 512 2.2× 85 0.4× 109 0.5× 85 1.5k
Yao Zhou China 19 701 1.2× 318 1.0× 159 0.7× 58 0.3× 147 0.7× 55 1.3k
Li Zeng China 20 514 0.9× 331 1.1× 76 0.3× 170 0.7× 76 0.4× 76 1.2k
Tong Yu China 20 676 1.1× 441 1.4× 168 0.7× 120 0.5× 109 0.5× 73 1.5k

Countries citing papers authored by Jing Lv

Since Specialization
Citations

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

Fields of papers citing papers by Jing Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Lv. A scholar is included among the top collaborators of Jing 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 Jing Lv. Jing Lv 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.
Zhao, Yongxin, Yan Yu, Weizhi Chen, et al.. (2025). Oligodendroglioma: Advances in Molecular Mechanisms and Immunotherapeutic Strategies. Biomedicines. 13(5). 1133–1133. 1 indexed citations
2.
Wang, Jihan, Yangyang Wang, Jia Ren, et al.. (2025). Emerging applications of feature selection in osteoporosis research: from biomarker discovery to clinical decision support. Journal of Bone and Mineral Research. 40(10). 1106–1113.
3.
Lv, Jing, et al.. (2025). Clostridium butyricum attenuates radiation-induced bone loss through gut microbiota and immune regulation in mice. Microbiological Research. 302. 128352–128352.
4.
Guo, Fangyue, Xufeng Tao, Zhi‐Wen Zhai, et al.. (2025). The Peptide–Drug Conjugate M1pep–Tasquinimod Ameliorates Acute Pancreatitis via Selectively Clearing M1-like Macrophages. Biomaterials Research. 29. 250–250.
5.
Wang, Yifan, et al.. (2024). ZnO NPs Impair the Viability and Function of Porcine Granulosa Cells Through Autophagy Regulated by ROS Production. Antioxidants. 13(11). 1295–1295. 4 indexed citations
6.
Wang, Shasha, Jing Lv, Yan Wang, et al.. (2024). Constructing and validating a risk model based on neutrophil‐related genes for evaluating prognosis and guiding immunotherapy in colon cancer. The Journal of Gene Medicine. 26(4). e3684–e3684. 1 indexed citations
7.
Lv, Jing, Jihan Wang, Yan Yu, et al.. (2023). Alterations of gut microbiota are associated with blood pressure: a cross-sectional clinical trial in Northwestern China. Journal of Translational Medicine. 21(1). 429–429. 13 indexed citations
9.
Yang, Wenjuan, Heping Zhao, Yan Yu, et al.. (2023). Updates on global epidemiology, risk and prognostic factors of gastric cancer. World Journal of Gastroenterology. 29(16). 2452–2468. 198 indexed citations breakdown →
10.
Lv, Jing, Siyuan Xu, Chen Meng, et al.. (2023). Ferroptosis participated in hippocampal neuroinflammation damage of in offspring rats after maternal sleep deprivation. Journal of Neuroimmunology. 375. 578021–578021. 10 indexed citations
11.
Wang, Shiyou, Christopher A. Price, Yifan Wang, et al.. (2023). 1α,25(OH)2D3 Promotes the Autophagy of Porcine Ovarian Granulosa Cells as a Protective Mechanism against ROS through the BNIP3/PINK1 Pathway. International Journal of Molecular Sciences. 24(5). 4364–4364. 2 indexed citations
12.
Liu, Tingting, Jing Lv, Qin Luo, et al.. (2022). Prognostic value of nutritional status in patients with human immunodeficiency virus infection-related lymphoma. Frontiers in Nutrition. 9. 1050139–1050139. 2 indexed citations
14.
Liu, Shihai, Jing Guo, Libin Sun, et al.. (2021). Identification and Analysis of Key Genes Driving Gastric Cancer Through Bioinformatics. Genetic Testing and Molecular Biomarkers. 25(1). 1–11. 5 indexed citations
15.
Huang, Dageng, Yangyang Wang, Jing Lv, et al.. (2020). Proteomic profiling analysis of postmenopausal osteoporosis and osteopenia identifies potential proteins associated with low bone mineral density. PeerJ. 8. e9009–e9009. 22 indexed citations
16.
Wang, Jihan, et al.. (2020). Serum anti-Müllerian hormone levels are associated with low bone mineral density in premenopausal women. Biomarkers. 25(8). 693–700. 9 indexed citations
17.
Liu, Shihai, et al.. (2019). Acid-induced autophagy protects human gastric cancer cells from apoptosis by activating Erk1/2 pathway. Translational Cancer Research. 8(4). 1560–1570. 1 indexed citations
18.
Lv, Jing, et al.. (2019). Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett’s esophagus. World Journal of Gastroenterology. 25(2). 233–244. 23 indexed citations
19.
Lv, Jing, Jijun Liu, Lei Guo, et al.. (2018). Bioinformatic analyses of microRNA-targeted genes and microarray-identified genes correlated with Barrett's esophagus. Cell Cycle. 17(6). 792–800. 8 indexed citations
20.
Lv, Jing & Liping Guo. (2010). Progress on treatment of idiopathic pulmonary fibrosis. Chinese Journal of Asthma. 30(22). 1399–1402. 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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