Dawei Ye

5.8k total citations · 4 hit papers
72 papers, 3.8k citations indexed

About

Dawei Ye is a scholar working on Physiology, Molecular Biology and Oncology. According to data from OpenAlex, Dawei Ye has authored 72 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Physiology, 20 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Dawei Ye's work include Pain Mechanisms and Treatments (22 papers), COVID-19 Clinical Research Studies (8 papers) and Pharmacological Effects of Natural Compounds (7 papers). Dawei Ye is often cited by papers focused on Pain Mechanisms and Treatments (22 papers), COVID-19 Clinical Research Studies (8 papers) and Pharmacological Effects of Natural Compounds (7 papers). Dawei Ye collaborates with scholars based in China, United States and United Kingdom. Dawei Ye's co-authors include Ya‐Qun Zhou, Qingquan Liu, Yiru Wang, Lisheng Wang, Yuke Tian, Shuping Chen, Jia Sun, Dai-Qiang Liu, Ken Ling and Tao Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cell Metabolism.

In The Last Decade

Dawei Ye

72 papers receiving 3.8k citations

Hit Papers

Review of the 2019 novel coronavirus (SARS-CoV-2) ba... 2016 2026 2019 2022 2020 2016 2024 2025 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dawei Ye China 34 1.0k 920 748 449 387 72 3.8k
Amelia Filippelli Italy 36 1.1k 1.1× 874 0.9× 271 0.4× 343 0.8× 199 0.5× 215 4.2k
Zhongyuan Xia China 38 2.4k 2.4× 545 0.6× 243 0.3× 322 0.7× 243 0.6× 240 5.7k
Carmine Vecchione Italy 49 2.0k 2.0× 1.6k 1.7× 548 0.7× 346 0.8× 481 1.2× 209 7.3k
Zhengyuan Xia China 50 3.2k 3.1× 1.2k 1.3× 447 0.6× 1.0k 2.3× 285 0.7× 275 8.9k
Louise M. Burrell Australia 47 1.4k 1.4× 543 0.6× 1.5k 2.0× 353 0.8× 896 2.3× 239 8.3k
Janice B. Schwartz United States 41 2.6k 2.5× 1.1k 1.2× 223 0.3× 409 0.9× 366 0.9× 146 7.7k
Jean‐Sébastien Hulot France 54 1.8k 1.8× 402 0.4× 805 1.1× 900 2.0× 550 1.4× 218 10.7k
Ranganath Muniyappa United States 33 1.5k 1.5× 1.5k 1.7× 516 0.7× 330 0.7× 237 0.6× 85 6.5k
Francesco Cipollone Italy 50 1.6k 1.6× 854 0.9× 486 0.6× 433 1.0× 386 1.0× 194 8.1k
Xuefeng Yu China 36 766 0.8× 848 0.9× 638 0.9× 362 0.8× 358 0.9× 139 4.5k

Countries citing papers authored by Dawei Ye

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawei Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Dawei Ye. A scholar is included among the top collaborators of Dawei Ye 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 Dawei Ye. Dawei Ye 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.
Zhang, Wei, Yuhang Yang, Dawei Ye, et al.. (2025). Estradiol metabolism by gut microbiota in women’s depression pathogenesis: inspiration from nature. Frontiers in Psychiatry. 16. 1505991–1505991. 4 indexed citations
2.
Hu, Junjie, Ya‐Qun Zhou, Zhiheng Liu, et al.. (2024). DNA damage induced PARP‐1 overactivation confers paclitaxel‐induced neuropathic pain by regulating mitochondrial oxidative metabolism. CNS Neuroscience & Therapeutics. 30(9). e70012–e70012. 3 indexed citations
3.
Xiong, Hua, et al.. (2024). Global Burden of Lung Cancer Attributable to Household Fine Particulate Matter Pollution in 204 Countries and Territories, 1990 to 2019. Journal of Thoracic Oncology. 19(6). 883–897. 18 indexed citations
4.
Cheng, Pengfei, et al.. (2023). Targeting the Main Sources of Reactive Oxygen Species Production:Possible Therapeutic Implications in Chronic Pain. Current Neuropharmacology. 22(12). 1960–1985. 2 indexed citations
6.
Zhou, Ya‐Qun, Wei Mei, Xuebi Tian, et al.. (2021). The therapeutic potential of Nrf2 inducers in chronic pain: Evidence from preclinical studies. Pharmacology & Therapeutics. 225. 107846–107846. 53 indexed citations
7.
Zhou, Ya‐Qun, Xuebi Tian, Yuke Tian, et al.. (2021). Wnt signaling: A prospective therapeutic target for chronic pain. Pharmacology & Therapeutics. 231. 107984–107984. 22 indexed citations
8.
Cai, Chuanqi, Yi Guo, Yun You, et al.. (2020). Deep Venous Thrombosis in COVID-19 Patients: A Cohort Analysis. Clinical and Applied Thrombosis/Hemostasis. 26. 2874381197–2874381197. 17 indexed citations
9.
Wang, Lisheng, Yiru Wang, Dawei Ye, & Qingquan Liu. (2020). Review of the 2019 novel coronavirus (SARS-CoV-2) based on current evidence. International Journal of Antimicrobial Agents. 55(6). 105948–105948. 801 indexed citations breakdown →
10.
Zhou, Ya‐Qun, Dai-Qiang Liu, Shuping Chen, et al.. (2020). PPARγ activation mitigates mechanical allodynia in paclitaxel-induced neuropathic pain via induction of Nrf2/HO-1 signaling pathway. Biomedicine & Pharmacotherapy. 129. 110356–110356. 42 indexed citations
11.
Chen, Shuping, Ya‐Qun Zhou, Xiaomei Wang, et al.. (2019). Pharmacological inhibition of the NLRP3 inflammasome as a potential target for cancer-induced bone pain. Pharmacological Research. 147. 104339–104339. 59 indexed citations
12.
Sun, Jia, Ya‐Qun Zhou, Shuping Chen, et al.. (2019). The endocannabinoid system: Novel targets for treating cancer induced bone pain. Biomedicine & Pharmacotherapy. 120. 109504–109504. 17 indexed citations
13.
Zhou, Ya‐Qun, Dai-Qiang Liu, Shuping Chen, et al.. (2017). Reactive oxygen species scavengers ameliorate mechanical allodynia in a rat model of cancer-induced bone pain. Redox Biology. 14. 391–397. 76 indexed citations
14.
Shi, Dai, Ya‐Qun Zhou, Hua Zheng, et al.. (2016). MHC-I promotes apoptosis of GABAergic interneurons in the spinal dorsal horn and contributes to cancer induced bone pain. Experimental Neurology. 286. 12–20. 38 indexed citations
15.
Song, Zhenpeng, Bingrui Xiong, Hua Zheng, et al.. (2016). STAT1 as a downstream mediator of ERK signaling contributes to bone cancer pain by regulating MHC II expression in spinal microglia. Brain Behavior and Immunity. 60. 161–173. 37 indexed citations
16.
Zhou, Ya‐Qun, et al.. (2015). Chemokines and Their Receptors: Potential Therapeutic Targets for Bone Cancer Pain. Current Pharmaceutical Design. 21(34). 5029–5033. 31 indexed citations
17.
Ye, Dawei, Huilian Bu, Bin Shu, et al.. (2014). Activation of CXCL10/CXCR3 Signaling Attenuates Morphine Analgesia: Involvement of Gi Protein. Journal of Molecular Neuroscience. 53(4). 571–579. 49 indexed citations
18.
Ye, Dawei, Jueping Feng, Cheng Liu, et al.. (2012). Laterodorsal tegmentum and pedunculopontine tegmental nucleus circuits regulate renal functions: Neuroanatomical evidence in mice models. Journal of Huazhong University of Science and Technology [Medical Sciences]. 32(2). 216–220. 20 indexed citations
19.
Yan, Shijun, Dawei Ye, Yi Wang, et al.. (2011). Ent -Kaurane Diterpenoids from Euphorbia hirta. SHILAP Revista de lepidopterología. 8 indexed citations
20.
Hu, Zheng, Xin Ma, Hongzhao Li, et al.. (2009). A radially expanding sheath for urethral dilation. Medical Hypotheses. 73(4). 585–586. 1 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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