Ping Feng

2.9k total citations
113 papers, 2.1k citations indexed

About

Ping Feng is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Ping Feng has authored 113 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 24 papers in Epidemiology and 16 papers in Oncology. Recurrent topics in Ping Feng's work include Liver Disease Diagnosis and Treatment (11 papers), Systemic Lupus Erythematosus Research (7 papers) and Liver Disease and Transplantation (7 papers). Ping Feng is often cited by papers focused on Liver Disease Diagnosis and Treatment (11 papers), Systemic Lupus Erythematosus Research (7 papers) and Liver Disease and Transplantation (7 papers). Ping Feng collaborates with scholars based in China, United States and Singapore. Ping Feng's co-authors include Wenchao Hu, Patrick Smits, M L Boey, Zhongping Gou, Xiao‐Hua Zhou, Mingyu Fan, Xiaosong Li, Jian Ni, Hong Tang and Gene Liau and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Chemistry.

In The Last Decade

Ping Feng

107 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Feng China 26 489 421 332 270 267 113 2.1k
Jing Gao China 25 420 0.9× 288 0.7× 186 0.6× 444 1.6× 275 1.0× 77 2.2k
Christine E. McLaren United States 40 970 2.0× 457 1.1× 395 1.2× 482 1.8× 458 1.7× 129 5.9k
Antonio Piga Italy 44 626 1.3× 743 1.8× 241 0.7× 271 1.0× 256 1.0× 195 8.8k
J. H. P. Wilson Netherlands 28 839 1.7× 254 0.6× 345 1.0× 263 1.0× 238 0.9× 93 2.2k
Irbaz Bin Riaz United States 31 403 0.8× 365 0.9× 747 2.3× 785 2.9× 95 0.4× 213 3.4k
Takashi Nakamura Japan 29 583 1.2× 417 1.0× 424 1.3× 148 0.5× 240 0.9× 174 2.7k
Karen Atkinson United States 20 504 1.0× 435 1.0× 606 1.8× 206 0.8× 529 2.0× 43 2.6k
Valentina Lorenzoni Italy 26 612 1.3× 610 1.4× 651 2.0× 1.0k 3.7× 265 1.0× 120 3.7k
Jacob Joseph United States 32 547 1.1× 570 1.4× 598 1.8× 140 0.5× 444 1.7× 132 3.1k
Xiangrui Meng China 26 1.0k 2.1× 289 0.7× 247 0.7× 289 1.1× 107 0.4× 133 2.5k

Countries citing papers authored by Ping Feng

Since Specialization
Citations

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

Fields of papers citing papers by Ping Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Feng. A scholar is included among the top collaborators of Ping 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 Ping Feng. Ping 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.
Wang, Ying, Liyu Chen, Qin Zhang, et al.. (2025). Antimicrobial Resistance of Helicobacter pylori Among Chinese Yi Population. The Journal of Infectious Diseases. 232(Supplement_4). S359–S366. 1 indexed citations
2.
Feng, Ping, et al.. (2024). BubR1 controls starvation-induced lipolysis via IMD signaling pathway in Drosophila. Aging. 16(4). 3257–3279. 1 indexed citations
3.
He, Xijing, et al.. (2024). Prediction models for postoperative pulmonary complications in intensive care unit patients after noncardiac thoracic surgery. BMC Pulmonary Medicine. 24(1). 420–420. 1 indexed citations
4.
Liu, Qiao, et al.. (2024). Construction and validation of a nomogram model for predicting diabetic peripheral neuropathy. Frontiers in Endocrinology. 15. 1419115–1419115.
5.
Feng, Ping, Mahmut Yaşar, & Roderick M. Rejesus. (2023). Innovation and regional economic convergence: evidence from China. The Annals of Regional Science. 72(2). 535–559. 9 indexed citations
6.
Feng, Ping, Mahmut Yaşar, & Jeffrey P. Cohen. (2023). Do Higher House Prices Crowd-Out or Crowd-In Manufacturing? A Spatial Econometrics Approach. The Journal of Real Estate Finance and Economics. 70(3). 457–482. 4 indexed citations
7.
Zhao, Juan, et al.. (2023). Relationship between traditional Chinese medicine constitution and pregnancy outcome in elderly primiparae. Tropical Journal of Pharmaceutical Research. 22(7). 1443–1449.
9.
Gou, Zhongping, Li Zheng, Ying Wang, Ping Feng, & Xiang Jin. (2019). Single- and multiple-dose pharmacokinetics of the peripheral non-narcotic antitussive moguisteine in healthy Chinese volunteers. European Journal of Pharmaceutical Sciences. 130. 166–172. 1 indexed citations
10.
Gou, Zhongping, Wei Zhang, Ying Wang, et al.. (2019). Randomized, double-blind, placebo-controlled phase I dose escalation study of Dan Qi Tong Mai tablet in healthy volunteers. BMC Complementary and Alternative Medicine. 19(1). 336–336. 4 indexed citations
11.
Yang, Jingyu, Xiaoxia Zhang, Xiaohua Liu, et al.. (2017). Antimicrobial susceptibility of Clostridium difficile isolates from ICU colonized patients revealed alert to ST-37 (RT 017) isolates. Diagnostic Microbiology and Infectious Disease. 89(2). 161–163. 6 indexed citations
12.
Li, Hui, et al.. (2015). Synergistic Effects of Combining Anti-Midkine and Hepatocyte Growth Factor Therapies Against Diabetic Nephropathy in Rats. The American Journal of the Medical Sciences. 350(1). 47–54. 4 indexed citations
13.
Qiu, Hongyu, Wei Fan, Ping Fu, et al.. (2013). General acteoside of rehmanniae leaves in the treatment of primary chronic glomerulonephritis: A randomized controlled trial. African Journal of Traditional Complementary and Alternative Medicines. 10(4). 109–15. 21 indexed citations
14.
Feng, Ping, et al.. (2011). Generalized propensity score for estimating the average treatment effect of multiple treatments. Statistics in Medicine. 31(7). 681–697. 120 indexed citations
15.
Feng, Ping. (2010). A Study of Industry Security Problems of China Based on Industry Openness.
16.
Hu, Wenchao & Ping Feng. (2010). Elevated serum chemerin concentrations are associated with renal dysfunction in type 2 diabetic patients. Diabetes Research and Clinical Practice. 91(2). 159–163. 73 indexed citations
17.
Gu, Haijuan, Xiaohong Guo, Ping Feng, et al.. (2010). The functional polymorphism in monocyte chemoattractant protein-1 gene increases susceptibility to gastric cancer. Medical Oncology. 28(S1). 280–285. 8 indexed citations
18.
Feng, Ping. (2009). Effects of Resveratrol on SIRT1 Expression,eNOS Activity and NO Secretion of Hyperlipid Cultured HUVEC. Zhongguo yaofang. 1 indexed citations
19.
Wang, Bei, Ping Feng, Ziwei Xiao, & Ee-Chee Ren. (2008). LIM and SH3 protein 1 (Lasp1) is a novel p53 transcriptional target involved in hepatocellular carcinoma. Journal of Hepatology. 50(3). 528–537. 54 indexed citations
20.
Fong, Kok Yong, Hwee Siew Howe, Tin Kyaw, M L Boey, & Ping Feng. (1996). Polymorphism of the regulatory region of tumour necrosis factor alpha gene in patients with systemic lupus erythematosus.. PubMed. 25(1). 90–3. 30 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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