Daohua Shi

532 total citations
24 papers, 389 citations indexed

About

Daohua Shi is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Daohua Shi has authored 24 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in Daohua Shi's work include PI3K/AKT/mTOR signaling in cancer (10 papers), Polyamine Metabolism and Applications (8 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Daohua Shi is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (10 papers), Polyamine Metabolism and Applications (8 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Daohua Shi collaborates with scholars based in China and India. Daohua Shi's co-authors include Peiguang Niu, Yanting Zhu, Huajiao Chen, Jie Deng, Yaoyao Chen, Yuxuan Zhang, Ying Liu, Xiangjin Xu, Qin Liao and Wei Zheng and has published in prestigious journals such as PLoS ONE, Life Sciences and European Journal of Pharmacology.

In The Last Decade

Daohua Shi

24 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daohua Shi China	13	247	89	69	48	44	24	389
Peiguang Niu China	12	230 0.9×	78 0.9×	67 1.0×	45 0.9×	42 1.0×	35	348
Elmira Mohtashami Iran	11	174 0.7×	62 0.7×	60 0.9×	52 1.1×	21 0.5×	13	355
Fatima Rizvi United States	9	290 1.2×	61 0.7×	39 0.6×	38 0.8×	35 0.8×	21	482
AGM Mostofa Bangladesh	11	172 0.7×	80 0.9×	59 0.9×	87 1.8×	45 1.0×	20	489
Hai Zhu China	9	191 0.8×	73 0.8×	114 1.7×	73 1.5×	48 1.1×	18	436
Shu‐Hsin Chen Taiwan	12	192 0.8×	69 0.8×	61 0.9×	51 1.1×	18 0.4×	17	378
MyongHak Ri China	11	230 0.9×	75 0.8×	89 1.3×	108 2.3×	77 1.8×	12	447
Jun‐Kui Li Hong Kong	11	170 0.7×	43 0.5×	42 0.6×	67 1.4×	55 1.3×	16	334
Bin Wen China	11	240 1.0×	57 0.6×	94 1.4×	61 1.3×	36 0.8×	21	407
Qian Zuo China	10	206 0.8×	34 0.4×	78 1.1×	72 1.5×	35 0.8×	14	352

Countries citing papers authored by Daohua Shi

Since Specialization

Citations

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

Fields of papers citing papers by Daohua Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daohua Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Daohua Shi. A scholar is included among the top collaborators of Daohua Shi 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 Daohua Shi. Daohua Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Ying, et al.. (2023). Raptor mediates the selective inhibitory effect of cardamonin on RRAGC-mutant B cell lymphoma. BMC Complementary Medicine and Therapies. 23(1). 336–336. 2 indexed citations

Zhu, Yanting, Shifeng Wang, Peiguang Niu, et al.. (2023). Raptor couples mTORC1 and ERK1/2 inhibition by cardamonin with oxidative stress induction in ovarian cancer cells. PeerJ. 11. e15498–e15498. 5 indexed citations

Chen, Huajiao, Sheng Huang, Peiguang Niu, et al.. (2022). Cardamonin suppresses pro-tumor function of macrophages by decreasing M2 polarization on ovarian cancer cells via mTOR inhibition. Molecular Therapy — Oncolytics. 26. 175–188. 18 indexed citations

Niu, Peiguang, et al.. (2021). Cardamonin inhibits the expression of P-glycoprotein and enhances the anti-proliferation of paclitaxel on SKOV3-Taxol cells. Journal of Natural Medicines. 76(1). 220–233. 8 indexed citations

Xu, Jianwen, Yanting Zhu, Peiguang Niu, et al.. (2021). Establishment and application of population pharmacokinetics model of vancomycin in infants with meningitis. Pediatrics & Neonatology. 63(1). 57–65. 5 indexed citations

Zhu, Yanting, et al.. (2020). Cardamonin inhibits cell proliferation by caspase-mediated cleavage of Raptor. Naunyn-Schmiedeberg s Archives of Pharmacology. 394(4). 809–817. 7 indexed citations

Zhu, Yanting, et al.. (2020). High PRAS40 mRNA expression and its role in prognosis of clear cell renal cell carcinoma. Translational Andrology and Urology. 9(4). 1650–1660. 8 indexed citations

Zheng, Beihong, et al.. (2020). A meta-analysis of the efficacy of progestin-primed ovarian stimulation with medroxyprogesterone acetate in ovulation induction in poor ovarian responders. Journal of Gynecology Obstetrics and Human Reproduction. 50(7). 102049–102049. 10 indexed citations

Niu, Peiguang, et al.. (2019). Anti‑proliferative effect of cardamonin on mTOR inhibitor‑resistant cancer cells. Molecular Medicine Reports. 21(3). 1399–1407. 14 indexed citations

10.

Shi, Daohua, et al.. (2018). Autophagy induced by cardamonin is associated with mTORC1 inhibition in SKOV3 cells. Pharmacological Reports. 70(5). 908–916. 25 indexed citations

11.

Shi, Daohua, et al.. (2018). Glycolysis inhibition via mTOR suppression is a key step in cardamonin-induced autophagy in SKOV3 cells. BMC Complementary and Alternative Medicine. 18(1). 317–317. 29 indexed citations

12.

Shi, Daohua, et al.. (2018). CYP3A4 and GCK genetic polymorphisms are the risk factors of tacrolimus-induced new-onset diabetes after transplantation in renal transplant recipients. European Journal of Clinical Pharmacology. 74(6). 723–729. 9 indexed citations

13.

Shi, Daohua, et al.. (2018). Raptor mediates the antiproliferation of cardamonin by mTORC1 inhibition in SKOV3 cells. OncoTargets and Therapy. Volume 11. 757–767. 15 indexed citations

14.

Niu, Peiguang, et al.. (2018). Cardamonin enhances the anti-proliferative effect of cisplatin on ovarian cancer. Oncology Letters. 15(3). 3991–3997. 28 indexed citations

15.

Chen, Huajiao, et al.. (2018). Anti-inflammatory Effects of Cardamonin in Ovarian Cancer Cells Are Mediated via mTOR Suppression. Planta Medica. 84(16). 1183–1190. 18 indexed citations

16.

Deng, Junli, Daohua Shi, Xi Ouyang, & Peiguang Niu. (2015). Clinical outcome of cisplatin-based chemotherapy is associated with the polymorphisms of GSTP1 and XRCC1 in advanced non-small cell lung cancer patients. Clinical & Translational Oncology. 17(9). 720–726. 21 indexed citations

17.

Niu, Peiguang, Yuxuan Zhang, Daohua Shi, et al.. (2015). Cardamonin Inhibits Metastasis of Lewis Lung Carcinoma Cells by Decreasing mTOR Activity. PLoS ONE. 10(5). e0127778–e0127778. 45 indexed citations

18.

Tang, Ying, Qi Fang, Daohua Shi, et al.. (2014). mTOR inhibition of cardamonin on antiproliferation of A549 cells is involved in a FKBP12 independent fashion. Life Sciences. 99(1-2). 44–51. 33 indexed citations

19.

Liao, Qin, et al.. (2010). Antiproliferation of cardamonin is involved in mTOR on aortic smooth muscle cells in high fructose-induced insulin resistance rats. European Journal of Pharmacology. 641(2-3). 179–186. 34 indexed citations

20.

Shi, Daohua, et al.. (1996). Potassium channel openers inhibit ATP-induced cytosolic free calcium increase in cultured rabbit aortic smooth muscle cells.. PubMed. 17(2). 125–8. 4 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.

Explore authors with similar magnitude of impact