Wanting Shi

809 total citations
30 papers, 555 citations indexed

About

Wanting Shi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Wanting Shi has authored 30 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 6 papers in Cancer Research. Recurrent topics in Wanting Shi's work include Atrial Fibrillation Management and Outcomes (3 papers), Ferroptosis and cancer prognosis (3 papers) and Circular RNAs in diseases (3 papers). Wanting Shi is often cited by papers focused on Atrial Fibrillation Management and Outcomes (3 papers), Ferroptosis and cancer prognosis (3 papers) and Circular RNAs in diseases (3 papers). Wanting Shi collaborates with scholars based in China, United States and United Kingdom. Wanting Shi's co-authors include Rongjun Zou, Xinxin Chen, Na Zhou, Li Ma, Hao Zhou, Songran Yang, Ping Hua, Jun Tao, Junxiong Qiu and Na Du and has published in prestigious journals such as Cell Metabolism, Molecules and Nutrients.

In The Last Decade

Wanting Shi

28 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanting Shi China 11 263 120 80 76 72 30 555
Yangjing Xue China 16 229 0.9× 148 1.2× 110 1.4× 62 0.8× 97 1.3× 36 628
Sumit Kar United States 10 261 1.0× 241 2.0× 80 1.0× 50 0.7× 77 1.1× 18 601
Hongyang Shu China 13 222 0.8× 174 1.4× 85 1.1× 53 0.7× 66 0.9× 23 528
Jia Guo China 14 233 0.9× 59 0.5× 60 0.8× 123 1.6× 71 1.0× 38 591
Ruijuan Wang China 14 293 1.1× 101 0.8× 112 1.4× 160 2.1× 59 0.8× 43 694
Hong Zhi China 15 214 0.8× 127 1.1× 68 0.8× 129 1.7× 59 0.8× 34 499
Xinli Xu China 9 246 0.9× 54 0.5× 82 1.0× 51 0.7× 54 0.8× 12 690
Yun Ti China 14 202 0.8× 199 1.7× 115 1.4× 49 0.6× 92 1.3× 45 564
Hesong Zeng China 16 275 1.0× 157 1.3× 84 1.1× 91 1.2× 99 1.4× 38 732

Countries citing papers authored by Wanting Shi

Since Specialization
Citations

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

Fields of papers citing papers by Wanting Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanting Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Wanting Shi. A scholar is included among the top collaborators of Wanting 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 Wanting Shi. Wanting Shi 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.
Shi, Wanting, Y. Xin, Meiling Hu, et al.. (2025). NAC Transcription Factor GmNAC035 Exerts a Positive Regulatory Role in Enhancing Salt Stress Tolerance in Plants. Plants. 14(9). 1391–1391. 2 indexed citations
2.
Zhou, Na, Li Ma, Wanting Shi, et al.. (2025). Akt mitigates ER stress-instigated cardiac dysfunction via regulation of ferroptosis and mitochondrial integrity in a DHODH-dependent manner. Life Sciences. 371. 123591–123591. 1 indexed citations
3.
Nie, Fang, Jiahui Du, Wanting Shi, et al.. (2025). Multiomics-Based Deep Learning Prediction of Prognosis and Therapeutic Response in Patients With Extensive-Stage Small Cell Lung Cancer Receiving Chemoimmunotherapy: A Retrospective Cohort Study. International Journal of General Medicine. Volume 18. 981–996. 1 indexed citations
4.
5.
Wang, Xue, Qian Wu, Ying Chen, et al.. (2024). Adipocyte-derived ferroptotic signaling mitigates obesity. Cell Metabolism. 37(3). 673–691.e7. 19 indexed citations
6.
Zou, Rongjun, Wanting Shi, Aslı F. Ceylan, et al.. (2023). Cardiomyocyte-specific deletion of endothelin receptor A (ETA) obliterates cardiac aging through regulation of mitophagy and ferroptosis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(2). 166958–166958. 10 indexed citations
7.
Shi, Wanting, et al.. (2023). Regulon analysis identifies protective FXR and CREB5 in proximal tubules in early diabetic kidney disease. BMC Nephrology. 24(1). 180–180. 7 indexed citations
8.
Shi, Wanting, Kang Li, & Yonghong Zhang. (2023). Current tests for diagnosis of hepatitis B virus infection and immune responses of HBV-related HCC. Frontiers in Oncology. 13. 1185142–1185142.
9.
Shi, Wanting, Kang Li, & Yonghong Zhang. (2023). The Advancement of Nanomaterials for the Detection of Hepatitis B Virus and Hepatitis C Virus. Molecules. 28(20). 7201–7201. 5 indexed citations
10.
Zou, Rongjun, et al.. (2023). Single-cell transcriptomics reveals zinc and copper ions homeostasis in epicardial adipose tissue of heart failure. International Journal of Biological Sciences. 19(13). 4036–4051. 5 indexed citations
11.
Zhou, Jiahui, et al.. (2023). Causal Effects of Blood Lipid Traits on Inflammatory Bowel Diseases: A Mendelian Randomization Study. Metabolites. 13(6). 730–730. 6 indexed citations
12.
Li, Xiaoxuan, et al.. (2022). Potential effect of dietary zinc intake on telomere length: A cross-sectional study of US adults. Frontiers in Nutrition. 9. 993425–993425. 9 indexed citations
13.
Zou, Rongjun, Wanting Shi, Junxiong Qiu, et al.. (2022). Empagliflozin attenuates cardiac microvascular ischemia/reperfusion injury through improving mitochondrial homeostasis. Cardiovascular Diabetology. 21(1). 106–106. 94 indexed citations
14.
Zou, Rongjun, Jun Tao, Junxiong Qiu, et al.. (2021). Ndufs1 Deficiency Aggravates the Mitochondrial Membrane Potential Dysfunction in Pressure Overload‐Induced Myocardial Hypertrophy. Oxidative Medicine and Cellular Longevity. 2021(1). 5545261–5545261. 30 indexed citations
15.
Ma, Li, Na Zhou, Rongjun Zou, et al.. (2021). Single-Cell RNA Sequencing and Quantitative Proteomics Analysis Elucidate Marker Genes and Molecular Mechanisms in Hypoplastic Left Heart Patients With Heart Failure. Frontiers in Cell and Developmental Biology. 9. 617853–617853. 5 indexed citations
16.
Shi, Wanting, et al.. (2019). Metformin versus insulin for gestational diabetes: a systematic review and meta-analysis. The Journal of Maternal-Fetal & Neonatal Medicine. 34(16). 2741–2753. 35 indexed citations
17.
Zou, Rongjun, Dingwen Zhang, Lei Lv, et al.. (2019). Bioinformatic gene analysis for potential biomarkers and therapeutic targets of atrial fibrillation-related stroke. Journal of Translational Medicine. 17(1). 45–45. 76 indexed citations
18.
Lin, Ching-Yen, et al.. (2019). 245 Effects of dietary macronutrient content on fecal microbiota populations and metabolite concentrations of healthy adult dogs. Journal of Animal Science. 97(Supplement_3). 61–62. 1 indexed citations
19.
Zou, Rongjun, Minglei Yang, Wanting Shi, et al.. (2018). Analysis of Genes Involved in Persistent Atrial Fibrillation: Comparisons of ‘Trigger’ and ‘Substrate’ Differences. Cellular Physiology and Biochemistry. 47(3). 1299–1309. 9 indexed citations
20.

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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