Xiaohong Ai

630 total citations
22 papers, 370 citations indexed

About

Xiaohong Ai is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xiaohong Ai has authored 22 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Xiaohong Ai's work include Garlic and Onion Studies (5 papers), Cancer-related molecular mechanisms research (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Xiaohong Ai is often cited by papers focused on Garlic and Onion Studies (5 papers), Cancer-related molecular mechanisms research (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Xiaohong Ai collaborates with scholars based in China and United States. Xiaohong Ai's co-authors include Youhua Wu, Xiaocheng Cao, Danian Dai, Hailin Tang, Meng He, Xiaoming Xie, Jianhong Zuo, Hui Ling, Sai Li and Lei Wang and has published in prestigious journals such as PLoS ONE, Journal of Cellular Physiology and Food and Chemical Toxicology.

In The Last Decade

Xiaohong Ai

22 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohong Ai China 14 204 118 114 59 48 22 370
Sung Lyea Park South Korea 12 176 0.9× 50 0.4× 73 0.6× 31 0.5× 37 0.8× 20 351
Libo Si China 14 296 1.5× 76 0.6× 128 1.1× 36 0.6× 26 0.5× 29 406
Jieya Liu China 6 202 1.0× 64 0.5× 46 0.4× 30 0.5× 35 0.7× 7 319
Hongqiang Sheng China 8 266 1.3× 119 1.0× 146 1.3× 29 0.5× 39 0.8× 14 450
Qiumeng Liu China 15 403 2.0× 132 1.1× 146 1.3× 20 0.3× 59 1.2× 33 616
Yong Luo China 13 250 1.2× 82 0.7× 157 1.4× 22 0.4× 20 0.4× 31 398
Jinyuan Pan China 10 247 1.2× 100 0.8× 144 1.3× 16 0.3× 38 0.8× 12 421

Countries citing papers authored by Xiaohong Ai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohong Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohong Ai. A scholar is included among the top collaborators of Xiaohong Ai 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 Xiaohong Ai. Xiaohong Ai 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.
Yang, Dong, Xiaohong Ai, Manbo Cai, et al.. (2024). Research on doctor‐patient communication teaching for oncology residents: a new teaching model. Journal of Evaluation in Clinical Practice. 31(5). e14217–e14217. 3 indexed citations
2.
Zhou, Feng, Haiping Wang, Kan Liu, et al.. (2024). Effectiveness, pharmacokinetics, and safety of triptorelin acetate microspheres in patients with locally advanced and metastatic prostate cancer. Therapeutic Advances in Medical Oncology. 16. 12752554–12752554. 1 indexed citations
3.
Wu, Qiong, Min Yu, Zhen Wang, et al.. (2022). Alternate-day fasting for the protection of cognitive impairment in c57BL/6J mice following whole-brain radiotherapy. Neurochemistry International. 162. 105463–105463. 9 indexed citations
4.
Zhu, Tao, et al.. (2022). ALDH1B1 predicts poor survival for locally advanced nasopharyngeal carcinoma patients. Translational Cancer Research. 11(2). 382–391. 5 indexed citations
5.
Ai, Xiaohong, et al.. (2022). Increased CDCA2 Level Was Related to Poor Prognosis in Hepatocellular Carcinoma and Associated With Up-Regulation of Immune Checkpoints. Frontiers in Medicine. 8. 773724–773724. 11 indexed citations
6.
Xiao, Fei, et al.. (2021). DPYSL2 as potential diagnostic and prognostic biomarker linked to immune infiltration in lung adenocarcinoma. World Journal of Surgical Oncology. 19(1). 274–274. 13 indexed citations
7.
Zhao, Shunli, et al.. (2020). MiR-185-3p regulates epithelial mesenchymal transition via PI3K/Akt signaling pathway by targeting cathepsin D in gastric cancer cells. Translational Cancer Research. 9(11). 6988–7000. 5 indexed citations
8.
Huang, Xin, et al.. (2019). The novel non‐immunological role and underlying mechanisms of B7‐H3 in tumorigenesis. Journal of Cellular Physiology. 234(12). 21785–21795. 24 indexed citations
9.
Liu, Feng, Hongjuan Hu, Jianfu Zhao, et al.. (2018). miR‑124‑3p acts as a potential marker and suppresses tumor growth in gastric cancer. Biomedical Reports. 9(2). 147–155. 33 indexed citations
10.
Ling, Hui, Jie He, Hui Tan, et al.. (2017). Identification of potential targets for differentiation in human leukemia cells induced by diallyl disulfide. International Journal of Oncology. 50(2). 697–707. 18 indexed citations
11.
Wang, Jiangang, et al.. (2017). MiR-99a suppresses cell invasion and metastasis in nasopharyngeal carcinoma through targeting <em>HOXA1</em>. OncoTargets and Therapy. Volume 10. 753–761. 21 indexed citations
12.
Zuo, Jianhong, Meiling Wen, Sai Li, et al.. (2017). Overexpression of CXCR4 promotes invasion and migration of non‑small cell lung cancer via EGFR and MMP‑9. Oncology Letters. 14(6). 7513–7521. 37 indexed citations
13.
Chen, Bo, Danian Dai, Hailin Tang, et al.. (2016). Pre-treatment serum alkaline phosphatase and lactate dehydrogenase as prognostic factors in triple negative breast cancer. Journal of Cancer. 7(15). 2309–2316. 38 indexed citations
14.
Chen, Bo, Danian Dai, Hailin Tang, et al.. (2016). Pretreatment Hematocrit Is Superior to Hemoglobin as a Prognostic Factor for Triple Negative Breast Cancer. PLoS ONE. 11(11). e0165133–e0165133. 16 indexed citations
15.
Su, Bo, Jian Su, Hui He, et al.. (2015). Identification of potential targets for diallyl disulfide in human gastric cancer MGC-803 cells using proteomics approaches. Oncology Reports. 33(5). 2484–2494. 21 indexed citations
16.
Cao, Xiaocheng, et al.. (2014). Casticin inhibits self-renewal of liver cancer stem cells from the MHCC97 cell line. Oncology Letters. 7(6). 2023–2028. 24 indexed citations
17.
Su, Bo, Hui He, Hui Ling, et al.. (2014). Chk1, but not Chk2, is responsible for G2/M phase arrest induced by diallyl disulfide in human gastric cancer BGC823 cells. Food and Chemical Toxicology. 68. 61–70. 20 indexed citations
18.
19.
Ai, Xiaohong. (2007). Induction of apoptosis of human gastric carcinoma SGC-7901 cell line by 5, 7-dihydroxy-8-nitrochrysinin vitro. World Journal of Gastroenterology. 13(28). 3824–3824. 18 indexed citations
20.
Ai, Xiaohong, et al.. (2007). [Effect of neferine on adriamycin-resistance of thermotolerant hepatocarcinoma cell line HepG2/thermotolerance].. PubMed. 26(4). 357–60. 16 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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