Fengfeng Ping

802 total citations
28 papers, 644 citations indexed

About

Fengfeng Ping is a scholar working on Cell Biology, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Fengfeng Ping has authored 28 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cell Biology, 11 papers in Molecular Biology and 8 papers in Nutrition and Dietetics. Recurrent topics in Fengfeng Ping's work include melanin and skin pigmentation (10 papers), Biochemical Analysis and Sensing Techniques (7 papers) and Skin Protection and Aging (6 papers). Fengfeng Ping is often cited by papers focused on melanin and skin pigmentation (10 papers), Biochemical Analysis and Sensing Techniques (7 papers) and Skin Protection and Aging (6 papers). Fengfeng Ping collaborates with scholars based in China, United States and Pakistan. Fengfeng Ping's co-authors include Jia Zhou, Jing Shang, Jingjing Ling, Jing Song, Yong Wang, Yuhao Xie, Awanish Kumar, Dharm Pal, Luyong Zhang and Yichuan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The FASEB Journal.

In The Last Decade

Fengfeng Ping

28 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengfeng Ping China 15 239 222 122 104 87 28 644
Krystyna Stępień Poland 16 254 1.1× 138 0.6× 83 0.7× 120 1.2× 67 0.8× 34 572
Nicaela Aspite Italy 15 378 1.6× 243 1.1× 357 2.9× 118 1.1× 60 0.7× 19 776
Eui Dong Son South Korea 16 115 0.5× 182 0.8× 265 2.2× 34 0.3× 101 1.2× 25 660
Sherry N. Hsieh United States 8 175 0.7× 332 1.5× 274 2.2× 39 0.4× 65 0.7× 8 900
Jutta Schüller Germany 11 156 0.7× 526 2.4× 408 3.3× 55 0.5× 89 1.0× 13 1.0k
Lily I. Jiang United States 15 137 0.6× 458 2.1× 229 1.9× 37 0.4× 81 0.9× 37 914
K. Regina Lemke Germany 7 439 1.8× 351 1.6× 209 1.7× 146 1.4× 320 3.7× 8 1.0k
Thomas Mammone United States 12 130 0.5× 189 0.9× 383 3.1× 44 0.4× 68 0.8× 22 738
Robert M. Law United States 8 121 0.5× 282 1.3× 75 0.6× 21 0.2× 95 1.1× 9 664

Countries citing papers authored by Fengfeng Ping

Since Specialization
Citations

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

Fields of papers citing papers by Fengfeng Ping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengfeng Ping

This figure shows the co-authorship network connecting the top 25 collaborators of Fengfeng Ping. A scholar is included among the top collaborators of Fengfeng Ping 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 Fengfeng Ping. Fengfeng Ping 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.
Ling, Jingjing, et al.. (2022). Resistance-proof antimicrobial drug discovery to combat global antimicrobial resistance threat. Drug Resistance Updates. 66. 100890–100890. 74 indexed citations
2.
Zhang, Lei, Yunfeng Lin, Yidong Li, et al.. (2022). Ribociclib Inhibits P-gp-Mediated Multidrug Resistance in Human Epidermoid Carcinoma Cells. Frontiers in Pharmacology. 13. 867128–867128. 8 indexed citations
3.
Narayanan, Silpa, Qiu‐Xu Teng, Zhuo‐Xun Wu, et al.. (2022). Anticancer effect of Indanone-based thiazolyl hydrazone derivative on p53 mutant colorectal cancer cell lines: An in vitro and in vivo study. Frontiers in Oncology. 12. 949868–949868. 6 indexed citations
4.
Lei, Zi‐Ning, Qiu‐Xu Teng, Zhuo‐Xun Wu, et al.. (2021). Overcoming multidrug resistance by knockout of ABCB1 gene using CRISPR/Cas9 system in SW620/Ad300 colorectal cancer cells. SHILAP Revista de lepidopterología. 2(4). 765–777. 36 indexed citations
5.
Ping, Fengfeng, Xue Wang, Yan Wang, et al.. (2021). Cx32 inhibits the autophagic effect of Nur77 in SH-SY5Y cells and rat brain with ischemic stroke. Aging. 13(18). 22188–22207. 8 indexed citations
6.
Wei, Bo, Jing Zhou, Jiajia Xu, et al.. (2019). Discovery of coumarin-derived imino sulfonates as a novel class of potential cardioprotective agents. European Journal of Medicinal Chemistry. 184. 111779–111779. 16 indexed citations
7.
Qiao, Weizhen, et al.. (2019). Fungal infection in lung transplant recipients in perioperative period from one lung transplant center. Journal of Thoracic Disease. 11(4). 1554–1561. 10 indexed citations
8.
Zhou, Jia, Yichuan Wang, Hui Zhong, et al.. (2018). IL‐17 induces cellular stress microenvironment of melanocytes to promote autophagic cell apoptosis in vitiligo. The FASEB Journal. 32(9). 4899–4916. 68 indexed citations
9.
Zhou, Jia, Jingjing Ling, Yong Wang, Jing Shang, & Fengfeng Ping. (2016). Cross-talk between interferon-gamma and interleukin-18 in melanogenesis. Journal of Photochemistry and Photobiology B Biology. 163. 133–143. 37 indexed citations
10.
Zhou, Jia, et al.. (2016). Cross-talk between 5-hydroxytryptamine and substance P in the melanogensis and apoptosis of B16F10 melanoma cells. European Journal of Pharmacology. 775. 106–112. 14 indexed citations
11.
Wang, Lei, Lei Cao, Tian Tian, et al.. (2016). Differential Expression of Proteins Associated with the Hair Follicle Cycle - Proteomics and Bioinformatics Analyses. PLoS ONE. 11(1). e0146791–e0146791. 13 indexed citations
12.
Zhou, Jia, et al.. (2016). Interleukin 10 protects primary melanocyte by activation of Stat-3 and PI3K/Akt/NF-κB signaling pathways. Cytokine. 83. 275–281. 29 indexed citations
13.
Zhou, Jia, Jingjing Ling, & Fengfeng Ping. (2016). Interferon-γ Attenuates 5-Hydroxytryptamine-Induced Melanogenesis in Primary Melanocyte. Biological and Pharmaceutical Bulletin. 39(7). 1091–1099. 7 indexed citations
14.
Zhou, Jia, et al.. (2014). Interleukin-18 directly protects cortical neurons by activating PI3K/AKT/NF-κB/CREB pathways. Cytokine. 69(1). 29–38. 37 indexed citations
15.
Zhou, Jia, Jing Song, Fengfeng Ping, & Jing Shang. (2013). Enhancement of the p38 MAPK and PKA signaling pathways is associated with the pro-melanogenic activity of Interleukin 33 in primary melanocytes. Journal of Dermatological Science. 73(2). 110–116. 43 indexed citations
17.
Ping, Fengfeng, Jing Shang, Jia Zhou, Jing Song, & Luyong Zhang. (2012). Activation of neurokinin-1 receptor by substance P inhibits melanogenesis in B16-F10 melanoma cells. The International Journal of Biochemistry & Cell Biology. 44(12). 2342–2348. 24 indexed citations
18.
Ping, Fengfeng, Jing Shang, Jia Zhou, Hongmei Zhang, & Luyong Zhang. (2012). 5-HT1A receptor and apoptosis contribute to interferon-α-induced “depressive-like” behavior in mice. Neuroscience Letters. 514(2). 173–178. 33 indexed citations
19.
Zhou, Jia, Jing Shang, Jing Song, & Fengfeng Ping. (2012). Interleukin-18 augments growth ability of primary human melanocytes by PTEN inactivation through the AKT/NF-κB pathway. The International Journal of Biochemistry & Cell Biology. 45(2). 308–316. 40 indexed citations
20.
Ping, Fengfeng. (2011). Serum pharmacochemistry of Vernonia anthelmintica. Central South Pharmacy. 2 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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