Zhimin Feng

3.5k total citations · 1 hit paper
30 papers, 2.4k citations indexed

About

Zhimin Feng is a scholar working on Microbiology, Molecular Biology and Immunology. According to data from OpenAlex, Zhimin Feng has authored 30 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Microbiology, 11 papers in Molecular Biology and 10 papers in Immunology. Recurrent topics in Zhimin Feng's work include Antimicrobial Peptides and Activities (14 papers), Immune Response and Inflammation (6 papers) and HIV Research and Treatment (4 papers). Zhimin Feng is often cited by papers focused on Antimicrobial Peptides and Activities (14 papers), Immune Response and Inflammation (6 papers) and HIV Research and Treatment (4 papers). Zhimin Feng collaborates with scholars based in United States, China and Denmark. Zhimin Feng's co-authors include Aaron Weinberg, Michael M. Lederman, Scott F. Sieg, Lin Li, Xuanlin Huang, Peide Huang, Xiaohui Sun, Weiqing Wang, Yanan Cao and Fang Wen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Zhimin Feng

30 papers receiving 2.3k citations

Hit Papers

Comparative genetic analysis of the novel coronavirus (20... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhimin Feng United States 20 810 726 700 596 291 30 2.4k
Shokrollah Elahi Canada 39 250 0.3× 755 1.0× 1.9k 2.7× 854 1.4× 538 1.8× 100 3.6k
Theresa L. Chang United States 27 1.2k 1.5× 672 0.9× 875 1.3× 390 0.7× 500 1.7× 61 2.3k
Hong Peng Jia United States 23 2.0k 2.4× 1.2k 1.7× 1.4k 2.1× 1.3k 2.2× 393 1.4× 31 4.3k
Ludovica Segat Italy 22 317 0.4× 545 0.8× 738 1.1× 282 0.5× 230 0.8× 107 1.7k
Jakob Nilsson Switzerland 23 257 0.3× 269 0.4× 1.2k 1.7× 532 0.9× 298 1.0× 63 2.2k
Mi‐Na Kweon South Korea 37 192 0.2× 1.0k 1.4× 2.1k 2.9× 592 1.0× 506 1.7× 98 4.0k
María Teresa Ochoa United States 34 344 0.4× 733 1.0× 2.6k 3.8× 1.5k 2.5× 1.5k 5.1× 70 5.0k
Nicolas W.J. Schröder Germany 28 566 0.7× 623 0.9× 2.3k 3.3× 449 0.8× 1.0k 3.5× 41 3.6k
Cornelia Speth Austria 34 153 0.2× 542 0.7× 972 1.4× 1.3k 2.2× 983 3.4× 106 3.0k
Pavel Svoboda United States 20 519 0.6× 398 0.5× 378 0.5× 287 0.5× 256 0.9× 42 1.4k

Countries citing papers authored by Zhimin Feng

Since Specialization
Citations

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

Fields of papers citing papers by Zhimin Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhimin Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhimin Feng. A scholar is included among the top collaborators of Zhimin 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 Zhimin Feng. Zhimin 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.
Chen, Lechuang, Rui Chen, Zhimin Feng, et al.. (2022). COVID-19 plasma exosomes promote proinflammatory immune responses in peripheral blood mononuclear cells. Scientific Reports. 12(1). 21779–21779. 15 indexed citations
2.
Cao, Yanan, Lin Li, Zhimin Feng, et al.. (2020). Comparative genetic analysis of the novel coronavirus (2019-nCoV/SARS-CoV-2) receptor ACE2 in different populations. Cell Discovery. 6(1). 11–11. 588 indexed citations breakdown →
3.
Xue, Liyan, Lin Li, Xinyi Fan, et al.. (2020). Identification of second primary tumors from lung metastases in patients with esophageal squamous cell carcinoma using whole-exome sequencing. Theranostics. 10(23). 10606–10618. 7 indexed citations
4.
Chen, Lechuang, Zhimin Feng, Hong Yue, et al.. (2018). Exosomes derived from HIV-1-infected cells promote growth and progression of cancer via HIV TAR RNA. Nature Communications. 9(1). 4585–4585. 67 indexed citations
5.
Ghosh, Santosh K., Zhimin Feng, Hisashi Fujioka, et al.. (2018). Conceptual Perspectives: Bacterial Antimicrobial Peptide Induction as a Novel Strategy for Symbiosis with the Human Host. Frontiers in Microbiology. 9. 302–302. 26 indexed citations
6.
Feng, Zhimin, Hong Yue, Scott F. Sieg, et al.. (2018). Abstract 5060: Exosomes derived from HIV-infected T cells promote cancer cell growth and progression via the HIV TAR RNA. Cancer Research. 78(13_Supplement). 5060–5060. 3 indexed citations
7.
Sieg, Scott F., et al.. (2015). HBD-3 induces NK cell activation, IFN-γ secretion and mDC dependent cytolytic function. Cellular Immunology. 297(2). 61–68. 17 indexed citations
8.
9.
Zapata, Wildeman, Wbeimar Aguilar-Jiménez, Zhimin Feng, et al.. (2015). Identification of innate immune antiretroviral factors during in vivo and in vitro exposure to HIV-1. Microbes and Infection. 18(3). 211–219. 24 indexed citations
10.
Das, Biswajit, Curtis Dobrowolski, Zhimin Feng, et al.. (2014). Short chain fatty acids potently induce latent HIV-1 in T-cells by activating P-TEFb and multiple histone modifications. Virology. 474. 65–81. 46 indexed citations
11.
Feng, Zhimin, et al.. (2013). Human β‐defensin‐3 structure motifs that are important in CXCR4 antagonism. FEBS Journal. 280(14). 3365–3375. 18 indexed citations
12.
Funderburg, Nicholas, Julie K. Jadlowsky, Michael M. Lederman, et al.. (2011). The Toll-like receptor 1/2 agonists Pam3CSK4 and human β-defensin-3 differentially induce interleukin-10 and nuclear factor-κB signalling patterns in human monocytes. Immunology. 134(2). 151–160. 70 indexed citations
13.
Jin, Ge, Hameem I. Kawsar, Stanley Hirsch, et al.. (2010). An Antimicrobial Peptide Regulates Tumor-Associated Macrophage Trafficking via the Chemokine Receptor CCR2, a Model for Tumorigenesis. PLoS ONE. 5(6). e10993–e10993. 117 indexed citations
14.
Funderburg, Nicholas, Michael M. Lederman, Zhimin Feng, et al.. (2007). Human β-defensin-3 activates professional antigen-presenting cells via Toll-like receptors 1 and 2. Proceedings of the National Academy of Sciences. 104(47). 18631–18635. 302 indexed citations
15.
Ghosh, Santosh K., Thomas Gerken, Keith M. Schneider, et al.. (2007). Quantification of Human β-Defensin-2 and -3 in Body Fluids: Application for Studies of Innate Immunity. Clinical Chemistry. 53(4). 757–765. 56 indexed citations
16.
Feng, Zhimin, George Dubyak, Michael M. Lederman, & Aaron Weinberg. (2006). Cutting Edge: Human β Defensin 3—A Novel Antagonist of the HIV-1 Coreceptor CXCR4. The Journal of Immunology. 177(2). 782–786. 142 indexed citations
17.
Feng, Zhimin & Aaron Weinberg. (2006). Role of bacteria in health and disease of periodontal tissues. Periodontology 2000. 40(1). 50–76. 211 indexed citations
18.
Quiñones‐Mateu, Miguel E., Michael M. Lederman, Zhimin Feng, et al.. (2003). Human epithelial β-defensins 2 and 3 inhibit HIV-1 replication. AIDS. 17(16). F39–F48. 354 indexed citations
19.
Ryan, Lisa K., Gill Diamond, Sheela Amrute, et al.. (2003). Detection of HBD1 peptide in peripheral blood mononuclear cell subpopulations by intracellular flow cytometry. Peptides. 24(11). 1785–1794. 20 indexed citations
20.
Feng, Zhimin, Xiaofeng Zhang, Hongfang Wang, & Meifu Feng. (2000). Differential recognition of MHC class I molecules of xeno-/allo-endothelial cells by human NK cells. Science in China Series C Life Sciences. 43(2). 176–182. 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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