Xiaoli Gu

799 total citations
30 papers, 546 citations indexed

About

Xiaoli Gu is a scholar working on Molecular Biology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Xiaoli Gu has authored 30 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Xiaoli Gu's work include Palliative Care and End-of-Life Issues (7 papers), Patient Dignity and Privacy (4 papers) and Cancer-related molecular mechanisms research (4 papers). Xiaoli Gu is often cited by papers focused on Palliative Care and End-of-Life Issues (7 papers), Patient Dignity and Privacy (4 papers) and Cancer-related molecular mechanisms research (4 papers). Xiaoli Gu collaborates with scholars based in China and South Korea. Xiaoli Gu's co-authors include Wenwu Cheng, Zhe Zhang, Mingdong Yao, Weiwei Zhao, Wenhai Xiao, Ying‐Jin Yuan, Liu Hong, Ming‐Zhu Ding, Jin Jin and Ying Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Xiaoli Gu

27 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoli Gu China 14 217 161 104 77 67 30 546
Xiang Ding China 15 317 1.5× 39 0.2× 50 0.5× 117 1.5× 37 0.6× 60 748
Émilie Barrandon France 4 110 0.5× 126 0.8× 115 1.1× 54 0.7× 4 0.1× 6 427
Sherry Chorost United States 6 81 0.4× 114 0.7× 130 1.3× 48 0.6× 8 0.1× 8 540
NJ Wald United Kingdom 9 154 0.7× 179 1.1× 45 0.4× 61 0.8× 5 0.1× 15 765
Min‐Shan Lu China 11 41 0.2× 127 0.8× 27 0.3× 13 0.2× 28 0.4× 25 369
Francesca Bella Italy 6 89 0.4× 155 1.0× 163 1.6× 70 0.9× 5 0.1× 13 438
Elizabeth C. Lowcock Canada 11 72 0.3× 58 0.4× 65 0.6× 25 0.3× 20 0.3× 11 405
Wael Sakr United States 6 86 0.4× 21 0.1× 74 0.7× 49 0.6× 18 0.3× 8 350
T. Dennis Berry United States 8 162 0.7× 216 1.3× 251 2.4× 137 1.8× 19 0.3× 8 758
Puneet Sindhwani United States 15 212 1.0× 144 0.9× 78 0.8× 39 0.5× 8 0.1× 55 732

Countries citing papers authored by Xiaoli Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Gu. A scholar is included among the top collaborators of Xiaoli 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 Xiaoli Gu. Xiaoli 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.
2.
Li, Ke, et al.. (2025). Human Umbilical Cord Mesenchymal Stem Cells-Derived Exosomes Attenuates Experimental Periodontitis in Mice Partly by Delivering miRNAs. International Journal of Nanomedicine. Volume 20. 2879–2899. 1 indexed citations
3.
Ma, Ke, Jun Yan, Fuqing Lin, et al.. (2024). Current Status of Cognition and Clinical Practice of Refractory Cancer Pain in Shanghai: A Questionnaire Survey. Journal of Pain Research. Volume 17. 1413–1422. 1 indexed citations
4.
Lu, Lingling, et al.. (2024). Circulating fatty acids, genetic susceptibility and hypertension: a prospective cohort study. Frontiers in Nutrition. 11. 1454364–1454364.
5.
Liu, Xiaoying, Min Zhang, Xiaoli Gu, et al.. (2023). Urinary biomarkers of drinking-water disinfection byproducts in relation to diminished ovarian reserve risk: A case-control study from the TREE cohort. The Science of The Total Environment. 912. 168729–168729. 9 indexed citations
6.
Gu, Xiaoli, et al.. (2023). Identification and validation of aging-related genes and their classification models based on myelodysplastic syndromes. SHILAP Revista de lepidopterología. 10(4). 440–465.
7.
Gu, Xiaoli, et al.. (2023). Aberrant KAT2A accumulations render TRIM22-low melanoma sensitive to Notch1 inhibitors via epigenetic reprogramming. Journal of Translational Medicine. 21(1). 443–443. 8 indexed citations
8.
Zhang, Zhe, Nong Li, Xiaoli Gu, et al.. (2020). Long Noncoding RNA SNHG10 Sponges miR-543 to Upregulate Tumor Suppressive SIRT1 in Nonsmall Cell Lung Cancer. Cancer Biotherapy and Radiopharmaceuticals. 35(10). 771–775. 21 indexed citations
9.
Zhang, Zhe, Nong Li, Xiaoli Gu, et al.. (2020). LncRNA ELF3-AS1 Promotes Non-Small Cell Lung Cancer Cell Invasion and Migration by Downregulating miR-212. Cancer Biotherapy and Radiopharmaceuticals. 37(2). 119–124. 8 indexed citations
10.
Zhang, Zhe, et al.. (2020). Use of palliative chemotherapy near the end of life: a retrospective cohort study. Annals of Palliative Medicine. 9(5). 2809–2816. 3 indexed citations
11.
Zhang, Jing, Qingxian Li, Jiawen Zhang, et al.. (2019). C-Reactive Protein/Albumin Ratio Is an Independent Prognostic Predictor of Survival in Advanced Cancer Patients Receiving Palliative Care. Journal of Palliative Medicine. 22(12). 1536–1545. 12 indexed citations
12.
Zhao, Weiwei, Zhiyong He, Yintao Li, et al.. (2019). Nomogram-based parameters to predict overall survival in a real-world advanced cancer population undergoing palliative care. BMC Palliative Care. 18(1). 47–47. 5 indexed citations
13.
Jin, Jin, Ying Wang, Mingdong Yao, et al.. (2018). Astaxanthin overproduction in yeast by strain engineering and new gene target uncovering. Biotechnology for Biofuels. 11(1). 230–230. 91 indexed citations
14.
Zhao, Weiwei, Peng Wang, Huixun Jia, et al.. (2017). Lymphocyte count or percentage: which can better predict the prognosis of advanced cancer patients following palliative care?. BMC Cancer. 17(1). 514–514. 33 indexed citations
15.
Zhao, Weiwei, Zhenyu Wu, Yintao Li, et al.. (2016). Pretreatment neutrophil-to-lymphocyte ratio and its dynamic changes are associated with the overall survival in advanced cancer patients undergoing palliative care. Scientific Reports. 6(1). 31394–31394. 18 indexed citations
16.
Gu, Xiaoli, et al.. (2016). Management of non-ovarian cancer malignant ascites through indwelling catheter drainage. BMC Palliative Care. 15(1). 44–44. 6 indexed citations
17.
Gu, Xiaoli, et al.. (2015). Timing of referral to inpatient palliative care services for advanced cancer patients and earlier referral predictors in mainland China. Palliative & Supportive Care. 14(5). 503–509. 13 indexed citations
18.
Gu, Xiaoli, et al.. (2015). End-of-life decision-making of terminally ill cancer patients in a tertiary cancer center in Shanghai, China. Supportive Care in Cancer. 24(5). 2209–2215. 36 indexed citations
19.
Gu, Xiaoli, et al.. (2015). Palliative sedation for terminally ill cancer patients in a tertiary cancer center in Shanghai, China. BMC Palliative Care. 14(1). 5–5. 20 indexed citations
20.

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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