Qingshan Geng

2.7k total citations
119 papers, 1.6k citations indexed

About

Qingshan Geng is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Qingshan Geng has authored 119 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cardiology and Cardiovascular Medicine, 18 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Molecular Biology. Recurrent topics in Qingshan Geng's work include Cardiac Health and Mental Health (26 papers), Cardiac Imaging and Diagnostics (18 papers) and Heart Rate Variability and Autonomic Control (18 papers). Qingshan Geng is often cited by papers focused on Cardiac Health and Mental Health (26 papers), Cardiac Imaging and Diagnostics (18 papers) and Heart Rate Variability and Autonomic Control (18 papers). Qingshan Geng collaborates with scholars based in China, United States and Hong Kong. Qingshan Geng's co-authors include Huan Ma, Hongling Yang, Guihao Liu, Chunyan Zhu, Jihui Zhang, Daozheng Huang, Han Yin, Yannis Yan Liang, Wei Jiang and Caiyun Zhong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Qingshan Geng

113 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingshan Geng China 21 333 255 203 171 153 119 1.6k
Marc Dorais Canada 31 421 1.3× 136 0.5× 129 0.6× 267 1.6× 105 0.7× 123 2.8k
Karin Halina Greiser Germany 24 475 1.4× 131 0.5× 289 1.4× 213 1.2× 150 1.0× 71 1.7k
Sihui Luo China 18 259 0.8× 570 2.2× 132 0.7× 209 1.2× 280 1.8× 78 2.2k
Yi‐An Ko United States 28 1.0k 3.1× 340 1.3× 207 1.0× 234 1.4× 107 0.7× 141 2.3k
Stanford Shoor United States 11 323 1.0× 130 0.5× 357 1.8× 144 0.8× 184 1.2× 23 2.8k
Bernard Favrat Switzerland 29 286 0.9× 135 0.5× 252 1.2× 348 2.0× 203 1.3× 140 2.8k
Xuan Cai United States 18 539 1.6× 195 0.8× 127 0.6× 132 0.8× 124 0.8× 38 1.9k
Hairong He China 20 156 0.5× 344 1.3× 152 0.7× 161 0.9× 316 2.1× 74 2.2k
Qianyu Dang United States 16 309 0.9× 238 0.9× 137 0.7× 78 0.5× 243 1.6× 26 1.3k
Jesjeet Singh Gill Malaysia 20 207 0.6× 211 0.8× 123 0.6× 192 1.1× 163 1.1× 78 1.7k

Countries citing papers authored by Qingshan Geng

Since Specialization
Citations

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

Fields of papers citing papers by Qingshan Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingshan Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Qingshan Geng. A scholar is included among the top collaborators of Qingshan Geng 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 Qingshan Geng. Qingshan Geng 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.
Gao, Lin, Jingyi Huang, Jinquan Xia, et al.. (2025). SNHG17 Reprograms Energy Metabolism of Breast Cancer by Activating Mitochondrial DNA Transcription. Cancer Research. 85(6). 1097–1112.
2.
Hu, Lianting, Xueli Zhang, Chao Wu, et al.. (2025). A multimodal dataset for coronary microvascular disease biomarker discovery. Scientific Data. 12(1). 990–990. 2 indexed citations
3.
Jiang, Cheng, Yunxiang Chen, Qingshan Geng, & Anbang Liu. (2025). Prevalence and clinical risk factors of cardiovascular disease in patients with cancer: a cross-sectional study. BMC Cardiovascular Disorders. 25(1). 526–526.
4.
Yin, Han, Cheng Jiang, Yuanhao Wang, et al.. (2024). Diminished salivary cortisol response to mental stress predict all-cause mortality in general population. Journal of Psychosomatic Research. 189. 112031–112031. 2 indexed citations
6.
Zheng, Xubin, Nana Jin, Qiong Wu, et al.. (2024). Less is more: relative rank is more informative than absolute abundance for compositional NGS data. Briefings in Functional Genomics. 24. 1 indexed citations
7.
8.
Zheng, Xubin, Qizhi Li, Nana Jin, et al.. (2024). Deep learning model to discriminate diverse infection types based on pairwise analysis of host gene expression. iScience. 27(6). 109908–109908. 7 indexed citations
9.
Liu, Yuting, et al.. (2024). Objective Ischemia, Subjective Angina, and Psychological Distress in Angina With No Obstructive Coronary Disease. Journal of the American Heart Association. 13(15). e034644–e034644. 3 indexed citations
10.
Jin, Nana, Chuanchuan Nan, Yuelong Chen, et al.. (2024). PAGE-based transfer learning from single-cell to bulk sequencing enhances model generalization for sepsis diagnosis. Briefings in Bioinformatics. 26(1).
11.
Jiang, Xin, Junhong Zhou, Chengyuan Yu, et al.. (2023). The alterations in multiple neurophysiological procedures are associated with frailty phenotype in older adults. Frontiers in Aging Neuroscience. 15. 1063322–1063322. 2 indexed citations
12.
Liang, Yannis Yan, Hongliang Feng, Yilin Chen, et al.. (2023). Joint association of physical activity and sleep duration with risk of all-cause and cause-specific mortality: a population-based cohort study using accelerometry. European Journal of Preventive Cardiology. 30(9). 832–843. 48 indexed citations
13.
14.
Liang, Yannis Yan, Hongliang Feng, Xiangxin Liu, et al.. (2023). Association of Social Isolation and Loneliness With Incident Heart Failure in a Population-Based Cohort Study. JACC Heart Failure. 11(3). 334–344. 46 indexed citations
15.
Cheng, Lixin, Xubin Zheng, Ning Zhang, et al.. (2023). GPGPS: a robust prognostic gene pair signature of glioma ensembling IDH mutation and 1p/19q co-deletion. Bioinformatics. 39(1). 17 indexed citations
16.
Zhang, Ning, Pengfei Zhao, Nana Jin, et al.. (2023). MrGPS: an m6A-related gene pair signature to predict the prognosis and immunological impact of glioma patients. Briefings in Bioinformatics. 25(1). 17 indexed citations
17.
Zhang, Xiaoxin, et al.. (2023). Cardiac rehabilitation for elderly, weak patients who undergo transcatheter edge-to-edge repair: a case report. European Heart Journal - Case Reports. 8(1). ytad621–ytad621. 3 indexed citations
18.
Yuan, Haitao, Peng Xia, Xin Sun, et al.. (2022). Photothermal Nanozymatic Nanoparticles Induce Ferroptosis and Apoptosis through Tumor Microenvironment Manipulation for Cancer Therapy. Small. 18(41). e2202161–e2202161. 72 indexed citations
19.
Li, Zhongzhong, Cheng Jiang, Luxiao Chai, et al.. (2022). New insights to atherosclerosis management: Role of nanomaterials. Applied Materials Today. 27. 101466–101466. 3 indexed citations
20.
Liu, Guihao, et al.. (2019). Healthcare-seeking behavior among pregnant women in the Chinese hierarchical medical system: a cross-sectional study. International Journal for Equity in Health. 18(1). 129–129. 19 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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