Jiannan Feng

4.7k total citations · 1 hit paper
137 papers, 3.4k citations indexed

About

Jiannan Feng is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jiannan Feng has authored 137 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 63 papers in Immunology and 53 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jiannan Feng's work include Monoclonal and Polyclonal Antibodies Research (51 papers), Immunotherapy and Immune Responses (22 papers) and Glycosylation and Glycoproteins Research (21 papers). Jiannan Feng is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (51 papers), Immunotherapy and Immune Responses (22 papers) and Glycosylation and Glycoproteins Research (21 papers). Jiannan Feng collaborates with scholars based in China, Czechia and United States. Jiannan Feng's co-authors include Jingfang Wang, Ping Chen, Wu Zhong, Xintian Xu, Hui Zhou, Xuan Li, Pei Hao, Bing Shen, Guojiang Chen and Renxi Wang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Immunology.

In The Last Decade

Jiannan Feng

131 papers receiving 3.3k citations

Hit Papers

Evolution of the novel coronavirus from the ongoing Wuhan... 2020 2026 2022 2024 2020 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Evolution of the novel coronavirus from the ongoing Wuhan outbreak and modeling of its spike protein for risk of human transmission
    2020 1.5k citations Jiannan Feng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiannan Feng China 24 1.2k 1.1k 849 531 488 137 3.4k
Zanxian Xia China 25 1.7k 1.4× 1.5k 1.4× 628 0.7× 442 0.8× 173 0.4× 58 3.7k
Huan Liu China 27 2.5k 2.1× 1.2k 1.1× 383 0.5× 395 0.7× 526 1.1× 65 4.3k
Qianyun Liu China 16 1.9k 1.6× 752 0.7× 319 0.4× 190 0.4× 525 1.1× 44 3.5k
Meng Yuan United States 26 2.2k 1.9× 1.2k 1.1× 411 0.5× 240 0.5× 572 1.2× 72 3.4k
Davide Zella United States 34 1.1k 0.9× 1.6k 1.5× 759 0.9× 544 1.0× 214 0.4× 96 4.0k
Renhong Yan China 16 2.8k 2.3× 1.5k 1.4× 350 0.4× 290 0.5× 270 0.6× 33 4.4k
Gengfu Xiao China 29 2.4k 2.0× 1.2k 1.1× 369 0.4× 223 0.4× 227 0.5× 80 4.0k
David A. Ostrov United States 42 656 0.5× 1.9k 1.7× 1.0k 1.2× 737 1.4× 238 0.5× 141 5.1k
Qing Chang China 30 857 0.7× 1.3k 1.2× 418 0.5× 337 0.6× 210 0.4× 128 3.4k
Aiping Wu China 24 1.9k 1.6× 1.3k 1.2× 515 0.6× 194 0.4× 174 0.4× 125 3.8k

Countries citing papers authored by Jiannan Feng

Since Specialization
Citations

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

Fields of papers citing papers by Jiannan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiannan Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Jiannan Feng. A scholar is included among the top collaborators of Jiannan 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 Jiannan Feng. Jiannan 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.
Zhang, Yuting, Min Zhang, Xinwei Wang, et al.. (2023). A novel MARV glycoprotein-specific antibody with potentials of broad-spectrum neutralization to filovirus. eLife. 12. 3 indexed citations
2.
3.
Sun, Ying, Min Zhang, Xinwei Wang, et al.. (2021). pH Low Insertion Peptide-Modified Programmed Cell Death-Ligand 1 Potently Suppresses T-Cell Activation Under Acidic Condition. Frontiers in Immunology. 12. 794226–794226. 4 indexed citations
4.
5.
Duan, Yanting, Longlong Luo, Chunxia Qiao, et al.. (2019). A novel human anti‐AXL monoclonal antibody attenuates tumour cell migration. Scandinavian Journal of Immunology. 90(2). e12777–e12777. 23 indexed citations
6.
7.
Li, Ge, Chunmei Hou, Jiacheng Zhang, et al.. (2018). Monoclonal antibody against human Tim‐3 enhances antiviral immune response. Scandinavian Journal of Immunology. 89(2). e12738–e12738. 12 indexed citations
8.
Yu, Zu‐Yin, Limei Wang, Xing Shen, et al.. (2016). Natural Product Vibsanin A Induces Differentiation of Myeloid Leukemia Cells through PKC Activation. Cancer Research. 76(9). 2698–2709. 30 indexed citations
9.
Yang, Yuemei, Jian Zhao, Shusheng Geng, et al.. (2015). Improving Trastuzumab’s Stability Profile by Removing the Two Degradation Hotspots. Journal of Pharmaceutical Sciences. 104(6). 1960–1970. 19 indexed citations
10.
Wang, Wei, Yan Zhang, Ming Lv, et al.. (2014). Anti-IGF-1R monoclonal antibody inhibits the carcinogenicity activity of acquired trastuzumab-resistant SKOV3. Journal of Ovarian Research. 7(1). 103–103. 7 indexed citations
11.
Wang, Qun, Jing Yang, Tang Kun, et al.. (2014). Pharmacological characteristics and efficacy of a novel anti-angiogenic antibody FD006 in corneal neovascularization. BMC Biotechnology. 14(1). 17–17. 13 indexed citations
12.
Qiao, Chunxia, Xinying Li, Jing Geng, et al.. (2012). Affinity maturation of antiHER2 monoclonal antibody MIL5 using an epitope-specific synthetic phage library by computational design. Journal of Biomolecular Structure and Dynamics. 31(5). 511–521. 13 indexed citations
13.
Lv, Ming, Chunxia Qiao, Nan Jiang, et al.. (2011). The Peptide Derived from erbB2 Auto-Inhibitor Herstatin Shared in the Same Epitope and Function with Functional Antibody 2C4. Molecular Biotechnology. 51(2). 174–182. 2 indexed citations
14.
Cui, Jian, Qingyang Wang, Jing Wang, et al.. (2009). Basal c-Jun NH2-terminal protein kinase activity is essential for survival and proliferation of T-cell acute lymphoblastic leukemia cells. Molecular Cancer Therapeutics. 8(12). 3214–3222. 40 indexed citations
15.
Wang, Jianing, Jiannan Feng, Ming Shi, et al.. (2007). De novo design of ErbB2 epitope targeting fusion protein stabilized by coiled coil structure. Molecular Immunology. 45(1). 106–116. 5 indexed citations
16.
17.
Sun, Jian, et al.. (2006). Preparation and Characterization of a Monoclonal Antibody Against Human B Lymphocyte Stimulator. Hybridoma. 25(2). 80–85. 2 indexed citations
18.
19.
Feng, Jiannan, Tao Zhou, Jianing Wang, et al.. (2005). In vivo identification of the interaction site of ErbB2 extracellular domain with its autoinhibitor. Journal of Cellular Physiology. 205(3). 335–343. 16 indexed citations
20.
Shen, Bing, et al.. (2005). A Novel Neutralizing Monoclonal Antibody Against Cell-Binding Polypeptide of Ricin. Hybridoma. 24(5). 263–266. 13 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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