Qing Geng

4.8k total citations · 3 hit papers
134 papers, 3.2k citations indexed

About

Qing Geng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Qing Geng has authored 134 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 42 papers in Pulmonary and Respiratory Medicine and 31 papers in Cancer Research. Recurrent topics in Qing Geng's work include Ferroptosis and cancer prognosis (17 papers), Cancer-related molecular mechanisms research (16 papers) and RNA modifications and cancer (14 papers). Qing Geng is often cited by papers focused on Ferroptosis and cancer prognosis (17 papers), Cancer-related molecular mechanisms research (16 papers) and RNA modifications and cancer (14 papers). Qing Geng collaborates with scholars based in China, United States and Malaysia. Qing Geng's co-authors include Wenyang Jiang, Rui Xiong, Ning Li, Wei Wang, Ruyuan He, Tao Fan, Zilong Lu, Bo Hao, Bohao Liu and Heng Meng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Qing Geng

125 papers receiving 3.2k citations

Hit Papers

Ferroptosis and its emerging roles in cardiovascular dise... 2021 2026 2022 2024 2021 2022 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Geng China 30 1.6k 781 763 557 509 134 3.2k
Bin Sun China 31 1.1k 0.7× 729 0.9× 418 0.5× 293 0.5× 707 1.4× 94 3.0k
Alessandro Celi Italy 28 1.2k 0.7× 461 0.6× 802 1.1× 674 1.2× 267 0.5× 110 3.8k
Yao Liu China 33 2.1k 1.3× 1.2k 1.6× 538 0.7× 919 1.6× 988 1.9× 194 4.6k
Panagiotis Paliogiannis Italy 32 990 0.6× 461 0.6× 1.1k 1.4× 409 0.7× 1.3k 2.5× 179 3.9k
Jie Xiong China 29 1.4k 0.9× 690 0.9× 311 0.4× 436 0.8× 562 1.1× 128 3.2k
Hong Chen China 30 1.3k 0.8× 544 0.7× 402 0.5× 394 0.7× 219 0.4× 118 2.9k
Nannan Zhang China 31 1.0k 0.6× 295 0.4× 498 0.7× 295 0.5× 318 0.6× 180 3.1k
Maja T. Lindenmeyer Germany 34 1.6k 1.0× 350 0.4× 365 0.5× 812 1.5× 261 0.5× 96 4.3k
Dong‐Wook Kim South Korea 45 1.8k 1.1× 323 0.4× 482 0.6× 615 1.1× 1.6k 3.2× 361 11.3k

Countries citing papers authored by Qing Geng

Since Specialization
Citations

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

Fields of papers citing papers by Qing Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Geng. A scholar is included among the top collaborators of Qing 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 Qing Geng. Qing 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.
Ding, Yuting, Jia Li, Qing Geng, et al.. (2025). Screening and functional characterization of nanobodies targeting the transferrin receptor. Protein Expression and Purification. 231. 106702–106702. 1 indexed citations
2.
Chen, Yan, et al.. (2025). Development and Validation of a Nomogram for Predicting Sepsis-Associated Acute Respiratory Distress Syndrome. International Journal of General Medicine. Volume 18. 5917–5925.
3.
Geng, Qing, Xin Xu, Xinming Ma, et al.. (2025). WSG-P2PNet: A deep learning framework for counting and locating wheat spike grains in the open field environment. Computers and Electronics in Agriculture. 235. 110314–110314.
4.
Geng, Qing, et al.. (2024). A rapid, low-cost wheat spike grain segmentation and counting system based on deep learning and image processing. European Journal of Agronomy. 156. 127158–127158. 9 indexed citations
5.
Liu, Bohao, Ning Li, Yi Liu, et al.. (2024). BRD3308 suppresses macrophage oxidative stress and pyroptosis via upregulating acetylation of H3K27 in sepsis-induced acute lung injury. Burns & Trauma. 12. tkae033–tkae033. 9 indexed citations
6.
He, Ruyuan, Ke Yi, Bohao Liu, et al.. (2024). The role and therapeutic potential of itaconate in lung disease. Cellular & Molecular Biology Letters. 29(1). 129–129. 2 indexed citations
7.
Wang, Guiyin, Qing Geng, Xia Li, et al.. (2024). Rice husk biochar resuscitates the microecological functions of heavy–metal contaminated soil after washing by enriching functional bacteria. Journal of Hazardous Materials. 480. 136430–136430. 12 indexed citations
8.
Song, Congkuan, Wenjie Wang, Bohao Liu, et al.. (2024). Comprehensive analysis of m6A modification in lipopolysaccharide-induced acute lung injury in mice. Molecular Medicine. 30(1). 14–14. 4 indexed citations
9.
Liu, Jiangyong, et al.. (2024). Asiaticoside Inhibits Growth and Metastasis in Non‐Small Cell Lung Cancer by Disrupting EMT via Wnt/β‐Catenin Pathway. Environmental Toxicology. 39(11). 4859–4870. 2 indexed citations
10.
Xu, Xin, et al.. (2023). Segmentation and counting of wheat spike grains based on deep learning and textural feature. Plant Methods. 19(1). 77–77. 20 indexed citations
11.
Wu, Huili, et al.. (2023). Comprehensive pan-cancer analysis reveals CCDC58 as a carcinogenic factor related to immune infiltration. APOPTOSIS. 29(3-4). 536–555. 7 indexed citations
12.
Li, Guorui, Wei Wang, Rui Xiong, et al.. (2023). Pretreatment with Kahweol Attenuates Sepsis‐Induced Acute Lung Injury via Improving Mitochondrial Homeostasis in a CaMKKII/AMPK‐Dependent Pathway. Molecular Nutrition & Food Research. 67(19). e2300083–e2300083. 10 indexed citations
13.
Song, Congkuan, et al.. (2023). The critical role of γ-secretase and its inhibitors in cancer and cancer therapeutics. International Journal of Biological Sciences. 19(16). 5089–5103. 15 indexed citations
14.
Li, Donghang, Wei Wang, Congkuan Song, et al.. (2023). Eriocitrin attenuates sepsis-induced acute lung injury in mice by regulating MKP1/MAPK pathway mediated-glycolysis. International Immunopharmacology. 118. 110021–110021. 28 indexed citations
15.
Lu, Zilong, et al.. (2023). Hydroxycitric Acid Alleviated Lung Ischemia-Reperfusion Injury by Inhibiting Oxidative Stress and Ferroptosis through the Hif-1α Pathway. Current Issues in Molecular Biology. 45(12). 9868–9886. 6 indexed citations
16.
Song, Congkuan, Shize Pan, Jinjin Zhang, Ning Li, & Qing Geng. (2022). Mitophagy: A novel perspective for insighting into cancer and cancer treatment. Cell Proliferation. 55(12). e13327–e13327. 71 indexed citations
17.
Geng, Qing, Heqing Shen, Wei Zhu, et al.. (2020). Safety and Efficacy of Low-Dosage Apatinib Monotherapy in Advanced Lung Squamous-Cell Carcinoma: A Prospective Cohort Study. SHILAP Revista de lepidopterología. 2 indexed citations
18.
Jiang, Wenyang, Xinghua Zhang, Zilong Lu, et al.. (2020). LINC‐PINT alleviates lung cancer progression via sponging miR‐543 and inducing PTEN. Cancer Medicine. 9(6). 1999–2009. 29 indexed citations
19.
Fan, Tao, Lei Chen, Zhixin Huang, et al.. (2017). Autophagy Activation by Rapamycin Before Hypoxia-Reoxygenation Reduces Endoplasmic Reticulum Stress in Alveolar Epithelial Cells. Cellular Physiology and Biochemistry. 41(1). 79–90. 13 indexed citations
20.
Geng, Qing, et al.. (2015). [Development brief history of thoracic surgery in China].. PubMed. 53(1). 27–32. 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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