Xiaomei Gao

2.6k total citations · 1 hit paper
81 papers, 1.8k citations indexed

About

Xiaomei Gao is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Xiaomei Gao has authored 81 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pulmonary and Respiratory Medicine, 18 papers in Molecular Biology and 14 papers in Cancer Research. Recurrent topics in Xiaomei Gao's work include Prostate Cancer Treatment and Research (21 papers), Prostate Cancer Diagnosis and Treatment (13 papers) and Smoking Behavior and Cessation (6 papers). Xiaomei Gao is often cited by papers focused on Prostate Cancer Treatment and Research (21 papers), Prostate Cancer Diagnosis and Treatment (13 papers) and Smoking Behavior and Cessation (6 papers). Xiaomei Gao collaborates with scholars based in China, United States and Germany. Xiaomei Gao's co-authors include Yongheng Chen, Ye Zhang, Ting Liu, Maoyu Li, Qiongzhu Dong, Lun–Xiu Qin, Yuan‐Yuan Sheng, Yan Zheng, Jinwang Wei and Hu‐Liang Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

Xiaomei Gao

74 papers receiving 1.8k citations

Hit Papers

Nanotechnology in cancer diagnosis: progress, challenges ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaomei Gao China 23 815 573 331 252 226 81 1.8k
Li Zhong China 22 910 1.1× 513 0.9× 262 0.8× 206 0.8× 122 0.5× 93 1.9k
Simon G. Talbot United States 26 631 0.8× 162 0.3× 311 0.9× 193 0.8× 179 0.8× 118 2.2k
David S. Ziegler Australia 26 1000 1.2× 345 0.6× 456 1.4× 300 1.2× 220 1.0× 149 2.3k
Ángel Galindo García Spain 29 787 1.0× 348 0.6× 224 0.7× 265 1.1× 154 0.7× 127 2.5k
Ju‐Won Roh South Korea 26 673 0.8× 327 0.6× 612 1.8× 201 0.8× 143 0.6× 58 2.2k
Linda E. Kelemen United States 27 632 0.8× 353 0.6× 638 1.9× 240 1.0× 110 0.5× 55 2.2k
Ning Ding China 21 447 0.5× 220 0.4× 327 1.0× 305 1.2× 98 0.4× 80 1.4k
Mário Pérez‐Sayáns Spain 28 1.1k 1.4× 567 1.0× 477 1.4× 190 0.8× 93 0.4× 178 2.6k
John F. Deeken United States 24 948 1.2× 266 0.5× 1.3k 4.1× 502 2.0× 141 0.6× 92 3.0k
Wei Shi China 24 1.1k 1.3× 361 0.6× 814 2.5× 215 0.9× 235 1.0× 90 3.0k

Countries citing papers authored by Xiaomei Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomei Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomei Gao. A scholar is included among the top collaborators of Xiaomei Gao 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 Xiaomei Gao. Xiaomei Gao 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.
Li, Yujia, Xiaomei Gao, Jinhui Yang, Yongxiang Tang, & Shuo Hu. (2025). PSMA-negative Widespread Metastases Identified by 18F-FDG PET/CT in Treatment-related Neuroendocrine Prostate Cancer With Squamous Differentiation. Clinical Nuclear Medicine. 51(1). 70–72.
2.
Yang, Jiansheng, Zhenhua Zhao, Changzeng Ding, et al.. (2025). Buried Interface Passivation with 3,4,5-Trifluorophenylboronic Acid Enables Efficient and Stable Inverted Perovskite Solar Cells. ACS Applied Materials & Interfaces. 17(11). 16844–16854. 2 indexed citations
4.
Wang, Yinzhao, Yan Yang, Lin Qi, et al.. (2025). Early prediction of response to ADT plus ARPIs in mHSPC using interpretable machine learning on PSMA PET/CT: a real-world study. European Journal of Nuclear Medicine and Molecular Imaging. 53(5). 3007–3022.
5.
Zhu, Wenhao, Yongxiang Tang, Qi Lin, et al.. (2025). Machine learning models for enhanced diagnosis and risk assessment of prostate cancer with 68Ga-PSMA-617 PET/CT. European Journal of Radiology. 186. 112063–112063. 1 indexed citations
6.
Zhang, Honghu, Lin Qi, Yi Cai, & Xiaomei Gao. (2024). Gastrin-releasing peptide receptor (GRPR) as a novel biomarker and therapeutic target in prostate cancer. Annals of Medicine. 56(1). 2320301–2320301. 12 indexed citations
7.
Gao, Xiaomei, Jawad Muhammad, Rong Huang, et al.. (2024). Multi‐site Passivation of ZnO Metal Oxides via Biomolecules for Efficient and Highly Stable Organic Solar Cells. Chinese Journal of Chemistry. 42(14). 1582–1592. 2 indexed citations
8.
9.
Wang, Xingming, Lin Qi, Minfeng Chen, et al.. (2024). Feasibility study of ADCs targeting TROP-2, HER2, and CD46 in Ductal Adenocarcinoma and Intraductal Carcinoma of the prostate. World Journal of Urology. 42(1). 404–404. 1 indexed citations
10.
Chen, Xuegeng, Zihao Zhou, Jiangtao Qi, et al.. (2024). Crop detection technologies, mechanical weeding executive parts and working performance of intelligent mechanical weeding: a review. Frontiers in Plant Science. 15. 1361002–1361002. 10 indexed citations
11.
Liu, Jing, Xiaomei Gao, Jiaxian Chen, et al.. (2023). circWSB1 promotes tumor progression in ccRCC via circWSB1/miR-182-5p/WSB1 axis. International Journal of Biological Macromolecules. 256(Pt 1). 128338–128338. 4 indexed citations
13.
Pollak, Kathryn I., et al.. (2022). Assessing the Feasibility and Acceptability of a Peer-Based Communication Coaching Model Among Hospital Clinicians. SSRN Electronic Journal. 1 indexed citations
14.
Chen, Jing, Jialin Meng, Chen Jin, et al.. (2021). 4‐Methylumbelliferone treatment and hyaluronan inhibition as a therapeutic strategy for chronic prostatitis. The Prostate. 81(14). 1078–1090. 9 indexed citations
15.
Pollak, Kathryn I., Pauline Lyna, Xiaomei Gao, et al.. (2020). Pilot Test of Connecting Pregnant Women who Smoke to Short Message Service (SMS) Support Texts for Cessation. Maternal and Child Health Journal. 24(4). 419–422.
16.
Pollak, Kathryn I., Jason A. Oliver, Carl F. Pieper, et al.. (2020). Cue-based treatment for light smokers: A proof of concept pilot. Addictive Behaviors. 114. 106717–106717. 1 indexed citations
17.
Pollak, Kathryn I., Xiaomei Gao, Richard J. Chung, David Farrell, & Terrill Bravender. (2019). Feasibility of a clinic-delivered adolescent and pediatrician communication intervention on patient participatory behaviors and behavior change: TIC TAC pilot study. Patient Education and Counseling. 103(2). 414–417. 5 indexed citations
18.
Gao, Xiaomei, Charles S. Dai, Shengsong Huang, et al.. (2018). Functional Silencing of HSD17B2 in Prostate Cancer Promotes Disease Progression. Clinical Cancer Research. 25(4). 1291–1301. 41 indexed citations
19.
Gao, Xiaomei, Yuan‐Yuan Sheng, Jing Yang, et al.. (2018). Osteopontin alters DNA methylation through up-regulating DNMT1 and sensitizes CD133+/CD44+ cancer stem cells to 5 azacytidine in hepatocellular carcinoma. Journal of Experimental & Clinical Cancer Research. 37(1). 179–179. 48 indexed citations
20.
Bodner, Michael E., Alicia Bilheimer, Xiaomei Gao, et al.. (2015). Studying physician-adolescent patient communication in community-based practices: recruitment challenges and solutions. International Journal of Adolescent Medicine and Health. 29(4). 2 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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