Ling Gu

2.3k total citations
101 papers, 1.8k citations indexed

About

Ling Gu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Ling Gu has authored 101 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 18 papers in Public Health, Environmental and Occupational Health and 18 papers in Immunology. Recurrent topics in Ling Gu's work include Reproductive Biology and Fertility (17 papers), Epigenetics and DNA Methylation (14 papers) and Cancer-related molecular mechanisms research (8 papers). Ling Gu is often cited by papers focused on Reproductive Biology and Fertility (17 papers), Epigenetics and DNA Methylation (14 papers) and Cancer-related molecular mechanisms research (8 papers). Ling Gu collaborates with scholars based in China, United States and Japan. Ling Gu's co-authors include Qiang Wang, Honglin Liu, Yuqin Pan, Qing‐Yuan Sun, Yeqiong Xu, Shukui Wang, Guoqi Song, Bangshun He, Christina E. Boots and Kelle H. Moley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Journal of Immunology.

In The Last Decade

Ling Gu

97 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Gu China 26 878 364 343 232 155 101 1.8k
Yi Jiang China 22 923 1.1× 180 0.5× 335 1.0× 343 1.5× 212 1.4× 61 2.0k
Wei Shen China 19 678 0.8× 328 0.9× 274 0.8× 163 0.7× 47 0.3× 57 1.4k
Yue Liu China 24 806 0.9× 274 0.8× 201 0.6× 147 0.6× 95 0.6× 81 1.9k
Yanzhi Du China 30 1.3k 1.5× 533 1.5× 371 1.1× 364 1.6× 110 0.7× 90 2.6k
Carmela Guido Italy 24 853 1.0× 297 0.8× 444 1.3× 202 0.9× 278 1.8× 35 2.0k
Shaowei Wang China 23 735 0.8× 138 0.4× 212 0.6× 155 0.7× 103 0.7× 115 1.9k
Anne Navarrete Santos Germany 23 734 0.8× 352 1.0× 135 0.4× 244 1.1× 56 0.4× 61 2.4k
Robert Augustin Germany 25 982 1.1× 234 0.6× 141 0.4× 96 0.4× 103 0.7× 36 2.1k
Meng Li China 26 1.1k 1.3× 199 0.5× 555 1.6× 319 1.4× 406 2.6× 94 2.2k
Juan Carlos Calvo Argentina 22 570 0.6× 148 0.4× 256 0.7× 337 1.5× 191 1.2× 79 2.0k

Countries citing papers authored by Ling Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ling Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Gu. A scholar is included among the top collaborators of Ling Gu 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 Ling Gu. Ling Gu 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.
Gu, Ling, et al.. (2025). Identification of Prolyl endopeptidase as a novel anti-depression target of Genipin-1-b-D-gentiobioside in brain tissues. Behavioural Brain Research. 484. 115511–115511. 1 indexed citations
2.
Zhang, Hantao, Qianlin Li, Tiantian Wang, et al.. (2025). Long‐Term Creatine Supplementation Improves Cognitive and Hippocampal Structural Plasticity Impairments in a D‐Gal‐Induced Aging Model via Increasing CK‐BB Activity in the Brain. Food Science & Nutrition. 13(1). e4767–e4767. 1 indexed citations
3.
Zhu, Shuai, et al.. (2025). Multi‐Omics Reveal the Metabolic Changes in Cumulus Cells During Aging. Cell Proliferation. 58(8). e70014–e70014.
4.
Wang, Nan, et al.. (2025). Danggui Buxue decoction regulates autophagy to Improve renal fibrosis in diabetes through miR-27a /PI3K/AKT pathway. Journal of Ethnopharmacology. 341. 119357–119357. 3 indexed citations
6.
Shen, Zhiyuan, et al.. (2024). Temporal metabolomics analysis reveals the metabolic patterns in goat cumulus cells during oocyte maturation. Gene. 928. 148772–148772. 2 indexed citations
7.
Hu, Zhidong, Xuhui Liu, Jing Wang, et al.. (2024). Dendritic Cell Vaccine Harboring Inactivated Mycobacteria Induces Immune Protection Against Tuberculosis in Murine Models and is Well Tolerated in Humans. SHILAP Revista de lepidopterología. 5(2). 2400355–2400355. 2 indexed citations
9.
Chen, Minjian, et al.. (2024). Characterization of metabolic patterns in porcine cumulus cells during meiotic maturation. Theriogenology. 220. 56–69. 5 indexed citations
10.
Sun, Shao‐Chen, et al.. (2023). Melatonin ameliorates histone modification disorders in mammalian aged oocytes by neutralizing the alkylation of HDAC1. Free Radical Biology and Medicine. 208. 361–370. 11 indexed citations
11.
Wang, Jin, Ling Gu, Shiping Zhang, et al.. (2022). Induction of Ferroptosis by Ophiopogonin-B Through Regulating the Gene Signature AURKA in NSCLC. Frontiers in Oncology. 12. 833814–833814. 18 indexed citations
12.
Wan, Xin, et al.. (2021). Neutrophil Gelatinase-Associated Lipocalin Contributes to Increased Risk of Cardiovascular Death After Acute Coronary Syndrome. International Journal of General Medicine. Volume 14. 4887–4895. 6 indexed citations
13.
Chen, Cuihua, Jiali Chen, Jingjing Shi, et al.. (2019). A strategy for quality evaluation of salt-treated Apocyni Veneti Folium and discovery of efficacy-associated markers by fingerprint-activity relationship modeling. Scientific Reports. 9(1). 16666–16666. 11 indexed citations
14.
Ning, Huan, Ling Gu, Qinghong Wang, et al.. (2016). MCPIP1 Selectively Destabilizes Transcripts Associated with an Antiapoptotic Gene Expression Program in Breast Cancer Cells That Can Elicit Complete Tumor Regression. Cancer Research. 76(6). 1429–1440. 80 indexed citations
15.
Pu, Danhua, Yutong Xing, Yingchun Gao, Ling Gu, & Jie Wu. (2014). Gene variation and premature ovarian failure: a meta-analysis. European Journal of Obstetrics & Gynecology and Reproductive Biology. 182. 226–237. 29 indexed citations
16.
He, Bangshun, Yuqin Pan, Yeqiong Xu, et al.. (2011). Increased Risk for Gastric Cancer in Carriers of the Lymphotoxin-α+252G Variant Infected by Helicobacter pylori. Genetic Testing and Molecular Biomarkers. 16(1). 9–14. 13 indexed citations
17.
He, Bangshun, Ying Zhang, Yuqin Pan, et al.. (2011). Interleukin 1 beta (IL1B) promoter polymorphism and cancer risk: evidence from 47 published studies. Mutagenesis. 26(5). 637–642. 37 indexed citations
18.
Gu, Ling, Qiang Wang, & Qing‐Yuan Sun. (2010). Histone modifications during mammalian oocyte maturation: Dynamics, regulation and functions. Cell Cycle. 9(10). 1942–1950. 117 indexed citations
19.
Gu, Ling, et al.. (2005). Combinatorial approach to identification of tyrphostin inhibitors of cytokine signaling. Bioorganic & Medicinal Chemistry. 13(13). 4269–4278. 7 indexed citations
20.
Gu, Ling, et al.. (2003). Serum Level of Interleukin,Tumor Necrosis Factor Alpha and Granulocyte Macrophage-Colony Stimulating Factor in Patients with Vitiligo. Chinese Journal of Dermatology. 36(2). 73–75. 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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