Jinping Feng

465 total citations
24 papers, 341 citations indexed

About

Jinping Feng is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Jinping Feng has authored 24 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 7 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Jinping Feng's work include Pregnancy and preeclampsia studies (3 papers), Maternal and Perinatal Health Interventions (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Jinping Feng is often cited by papers focused on Pregnancy and preeclampsia studies (3 papers), Maternal and Perinatal Health Interventions (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Jinping Feng collaborates with scholars based in China, Australia and India. Jinping Feng's co-authors include Qin Qin, Cheng Chen, Ning Yang, Bei Ren, Hongqing Zhao, Zheng­ping Liu, Liang Bao, Yuyu Chen, Lei Lv and Xinhua Wang and has published in prestigious journals such as Journal of the American College of Cardiology, Medicine and International Immunopharmacology.

In The Last Decade

Jinping Feng

22 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinping Feng China 9 143 61 58 58 53 24 341
Peili Wu China 10 130 0.9× 44 0.7× 39 0.7× 13 0.2× 30 0.6× 27 390
Yang Ding China 12 119 0.8× 47 0.8× 28 0.5× 89 1.5× 8 0.2× 28 353
Jenn‐Jhy Tseng Taiwan 8 91 0.6× 92 1.5× 72 1.2× 59 1.0× 32 0.6× 10 337
Amr M. Abdelhamid Egypt 12 99 0.7× 21 0.3× 76 1.3× 23 0.4× 33 0.6× 28 322
Grzegorz Stachowiak Poland 12 100 0.7× 73 1.2× 67 1.2× 21 0.4× 57 1.1× 56 409
Yaru Feng China 10 110 0.8× 238 3.9× 16 0.3× 88 1.5× 113 2.1× 31 493
Aslı Özmen Türkiye 14 105 0.7× 187 3.1× 31 0.5× 128 2.2× 43 0.8× 31 414
Katarzyna Suchta Poland 6 84 0.6× 29 0.5× 24 0.4× 26 0.4× 228 4.3× 13 584
Limei Mao China 6 129 0.9× 18 0.3× 26 0.4× 32 0.6× 40 0.8× 8 318

Countries citing papers authored by Jinping Feng

Since Specialization
Citations

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

Fields of papers citing papers by Jinping Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinping Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Jinping Feng. A scholar is included among the top collaborators of Jinping Feng 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 Jinping Feng. Jinping Feng 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.
Zou, Li, Jingfen Chen, Shu Wang, et al.. (2025). Association between doula care and postpartum post-traumatic stress disorder: A mixed-methods study. Midwifery. 148. 104539–104539.
2.
Xia, Peng, Jinping Feng, & Tianhai Tian. (2025). Prediction of Financial Time-series Data Using ARIMA Model and Machine Learning Algorithm. 1619–1622. 1 indexed citations
3.
An, Yan, Ruiying Zhang, Chao Feng, & Jinping Feng. (2024). Coronavirus disease 2019-related myocarditis genes contribute to ECMO prognosis. BMC Cardiovascular Disorders. 24(1). 375–375. 1 indexed citations
4.
Feng, Chao, et al.. (2023). GLUT1 Mediates the Metabolic Reprogramming and Inflammation of CCR2+ Monocytes/Macrophages from Patients with DCM. Frontiers in Bioscience-Landmark. 28(9). 223–223. 9 indexed citations
5.
Feng, Chao, et al.. (2023). Inhibition of PFKFB3 Expression Stimulates Macrophage-Mediated Lymphangiogenesis Post-Acute Myocardial Infarction. Frontiers in Bioscience-Landmark. 28(11). 277–277. 7 indexed citations
6.
Feng, Chao, et al.. (2023). Epicardial Adipose Tissue and Diabetic Cardiomyopathy. Journal of Cardiovascular Pharmacology and Therapeutics. 28. 2224709836–2224709836. 8 indexed citations
7.
Ye, Shaoxin, Dazhi Fan, Pengsheng Li, et al.. (2022). Assessment of different thresholds of birthweight discordance for early neonatal outcomes: retrospective analysis of 2348 twin pregnancies. BMC Pregnancy and Childbirth. 22(1). 93–93. 3 indexed citations
8.
Feng, Chao, Ying Jin, Jinping Feng, et al.. (2022). Comparison of NICE and ESC strategy for risk assessment in women with stable chest pain: a coronary computed tomography angiography study. Reviews in Cardiovascular Medicine. 23(1). 26–26. 3 indexed citations
10.
Li, Pengsheng, Haiyan Wang, Jinping Feng, et al.. (2021). Association Between Perceived Stress and Prenatal Depressive Symptoms: Moderating Effect of Social Support. Journal of Multidisciplinary Healthcare. Volume 14. 3195–3204. 17 indexed citations
11.
Li, Pengsheng, Haiyan Wang, Gengdong Chen, et al.. (2021). Association Between Nausea and Vomiting During Pregnancy and Sleep Quality: Mediating Effect of Depressive Symptoms. International Journal of General Medicine. Volume 14. 41–49. 6 indexed citations
12.
Wang, Xinhua, et al.. (2018). Gallic acid attenuates allergic airway inflammation via suppressed interleukin‐33 and group 2 innate lymphoid cells in ovalbumin‐induced asthma in mice. International Forum of Allergy & Rhinology. 8(11). 1284–1290. 24 indexed citations
13.
Fan, Dazhi, Li Song, Shuzhen Wu, et al.. (2017). Prevalence of abnormally invasive placenta among deliveries in mainland China. Medicine. 96(16). e6636–e6636. 18 indexed citations
14.
Bao, Liang, Lei Lv, Jinping Feng, et al.. (2017). MiR-876-5p suppresses epithelial–mesenchymal transition of lung cancer by directly down-regulating bone morphogenetic protein 4. Journal of Biosciences. 42(4). 671–681. 32 indexed citations
15.
Bao, Liang, Lei Lv, Jinping Feng, et al.. (2016). miR-487b-5p Regulates Temozolomide Resistance of Lung Cancer Cells Through LAMP2-Medicated Autophagy. DNA and Cell Biology. 35(8). 385–392. 31 indexed citations
16.
Fan, Dazhi, Song Wu, Wen Wang, et al.. (2016). Prevalence of placenta previa among deliveries in Mainland China. Medicine. 95(40). e5107–e5107. 40 indexed citations
17.
Liang, Wenna, Xiaoyang Zhao, Jinping Feng, Fenghua Song, & Yunzhi Pan. (2016). Ursolic acid attenuates beta-amyloid-induced memory impairment in mice. Arquivos de Neuro-Psiquiatria. 74(6). 482–488. 32 indexed citations
18.
Kang, Bin, Qin Qin, Fei Du, & Jinping Feng. (2015). GW26-e0235 Lipid among Patients Presented with Acute Myocardial Infarction Unstable Angina and Stable Angina Pectoris. Journal of the American College of Cardiology. 66(16). C143–C143. 1 indexed citations
19.
Chen, Gang, Qin Qin, Li Yang, et al.. (2012). [Association between plasma adiponectin and small, dense low density lipoprotein in patients with coronary artery disease].. PubMed. 40(9). 752–6. 2 indexed citations
20.
Qin, Qin, Yaru Lu, Yang Li, et al.. (2010). [Association between plasma adiponectin level and in-stent restenosis after coronary stenting].. PubMed. 38(3). 239–42. 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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