Kunfeng Sun

2.5k total citations
86 papers, 1.4k citations indexed

About

Kunfeng Sun is a scholar working on Infectious Diseases, Animal Science and Zoology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kunfeng Sun has authored 86 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Infectious Diseases, 28 papers in Animal Science and Zoology and 27 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kunfeng Sun's work include Animal Virus Infections Studies (28 papers), Viral Infections and Immunology Research (27 papers) and Viral gastroenteritis research and epidemiology (19 papers). Kunfeng Sun is often cited by papers focused on Animal Virus Infections Studies (28 papers), Viral Infections and Immunology Research (27 papers) and Viral gastroenteritis research and epidemiology (19 papers). Kunfeng Sun collaborates with scholars based in China, France and United States. Kunfeng Sun's co-authors include Dekang Zhu, Renyong Jia, Anchun Cheng, Shun Chen, Mafeng Liu, Qiao Yang, Xiaoyue Chen, Ying Wu, Mingshu Wang and Xinxin Zhao and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Virology.

In The Last Decade

Kunfeng Sun

85 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunfeng Sun China 22 455 400 380 369 365 86 1.4k
C. T. Ranjith-Kumar United States 28 733 1.6× 219 0.5× 585 1.5× 140 0.4× 808 2.2× 52 2.2k
Jodi F. Hedges United States 30 249 0.5× 395 1.0× 573 1.5× 615 1.7× 668 1.8× 54 1.8k
Zhiyong Ma China 23 288 0.6× 87 0.2× 629 1.7× 138 0.4× 303 0.8× 92 1.4k
Shaobin Shang China 23 179 0.4× 144 0.4× 801 2.1× 384 1.0× 427 1.2× 55 1.4k
Leah R. Read Canada 24 347 0.8× 78 0.2× 219 0.6× 328 0.9× 600 1.6× 54 1.4k
Mohamed Faizal Abdul-Careem Canada 29 222 0.5× 157 0.4× 639 1.7× 901 2.4× 1.0k 2.8× 108 2.3k
Myra N. Widjojoatmodjo Netherlands 18 348 0.8× 269 0.7× 576 1.5× 184 0.5× 151 0.4× 23 1.6k
Xumin Ou China 15 196 0.4× 164 0.4× 176 0.5× 155 0.4× 127 0.3× 101 957
Jan Zoll Netherlands 27 607 1.3× 831 2.1× 1.4k 3.8× 238 0.6× 310 0.8× 57 2.5k
Marcel Beld Netherlands 30 1.2k 2.7× 462 1.2× 1.1k 2.8× 236 0.6× 200 0.5× 68 3.6k

Countries citing papers authored by Kunfeng Sun

Since Specialization
Citations

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

Fields of papers citing papers by Kunfeng Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunfeng Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Kunfeng Sun. A scholar is included among the top collaborators of Kunfeng Sun 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 Kunfeng Sun. Kunfeng Sun 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.
Sun, Kunfeng, Dipayan Bose, Rajnish Kumar Singh, Yonggang Pei, & Erle S. Robertson. (2024). The F-box E3 ligase protein FBXO11 regulates EBNA3C-associated degradation of BCL6. Journal of Virology. 98(7). e0054824–e0054824.
2.
Altman, L.C., Zijie Feng, Kunfeng Sun, et al.. (2023). Menin Maintains Cholesterol Content in Colorectal Cancer via Repression of LXR-Mediated Transcription. Cancers. 15(16). 4126–4126. 3 indexed citations
3.
Xie, Jinyan, Mingshu Wang, Anchun Cheng, et al.. (2020). Author Correction: Cytokine storms are primarily responsible for the rapid death of ducklings infected with duck hepatitis A virus type 1. Scientific Reports. 10(1). 5672–5672. 2 indexed citations
4.
5.
Lang, Fengchao, Rajnish Kumar Singh, Yonggang Pei, et al.. (2019). EBV epitranscriptome reprogramming by METTL14 is critical for viral-associated tumorigenesis. PLoS Pathogens. 15(6). e1007796–e1007796. 96 indexed citations
6.
Wang, Mingshu, Haibo Yi, Mafeng Liu, et al.. (2018). ATPase activity of GroEL is dependent on GroES and it is response for environmental stress in Riemerella anatipestifer. Microbial Pathogenesis. 121. 51–58. 6 indexed citations
7.
Liu, Mafeng, Mi Huang, Dekang Zhu, et al.. (2017). Identifying the Genes Responsible for Iron-Limited Condition in Riemerella anatipestifer CH-1 through RNA-Seq-Based Analysis. BioMed Research International. 2017. 1–10. 13 indexed citations
8.
Wang, Anqi, Mingshu Wang, Renyong Jia, et al.. (2017). Identification of IFITM1 and IFITM3 in Goose: Gene Structure, Expression Patterns, and Immune Reponses against Tembusu Virus Infection. BioMed Research International. 2017. 1–13. 13 indexed citations
9.
Zhou, Hao, Anqi Wang, Mingshu Wang, et al.. (2016). TRIM25 Identification in the Chinese Goose: Gene Structure, Tissue Expression Profiles, and Antiviral Immune Responses In Vivo and In Vitro. BioMed Research International. 2016. 1–14. 10 indexed citations
10.
Chen, Shun, Anqi Wang, Fei Liu, et al.. (2016). Immune-Related Gene Expression Patterns in GPV- or H9N2-Infected Goose Spleens. International Journal of Molecular Sciences. 17(12). 1990–1990. 10 indexed citations
11.
12.
Zhu, Dekang, Guangpeng Ma, Mafeng Liu, et al.. (2016). Genome-Wide Analysis of the Synonymous Codon Usage Patterns in Riemerella anatipestifer. International Journal of Molecular Sciences. 17(8). 1304–1304. 27 indexed citations
13.
Yang, Chao, Fei Liu, Shun Chen, et al.. (2016). Identification of 2′-5′-Oligoadenylate Synthetase-Like Gene in Goose: Gene Structure, Expression Patterns, and Antiviral Activity Against Newcastle Disease Virus. Journal of Interferon & Cytokine Research. 36(9). 563–572. 24 indexed citations
14.
Mao, Sai, Xumin Ou, Dekang Zhu, et al.. (2016). Development and evaluation of indirect ELISAs for the detection of IgG, IgM and IgA1 against duck hepatitis A virus 1. Journal of Virological Methods. 237. 79–85. 16 indexed citations
15.
Wang, Anqi, Fei Liu, Shun Chen, et al.. (2015). Transcriptome Analysis and Identification of Differentially Expressed Transcripts of Immune-Related Genes in Spleen of Gosling and Adult Goose. International Journal of Molecular Sciences. 16(9). 22904–22926. 19 indexed citations
16.
Cheng, Anchun, Mingshu Wang, Shun Chen, et al.. (2015). Duck enteritis virus UL54 is an IE protein primarily located in the nucleus. Virology Journal. 12(1). 198–198. 17 indexed citations
17.
Li, Pengfei, Zhilong Zhang, Renyong Jia, et al.. (2015). Rescue of a duck circovirus from an infectious DNA clone in ducklings. Virology Journal. 12(1). 82–82. 12 indexed citations
18.
19.
Zou, Qing, Kunfeng Sun, Anchun Cheng, et al.. (2010). Detection of anatid herpesvirus 1 gC gene by TaqMan™ fluorescent quantitative real-time PCR with specific primers and probe. Virology Journal. 7(1). 37–37. 23 indexed citations
20.
Shen, Chanjuan, Anchun Cheng, Mingshu Wang, et al.. (2010). Development and evaluation of an immunochromatographic strip test based on the recombinant UL51 protein for detecting antibody against duck enteritis virus. Virology Journal. 7(1). 268–268. 11 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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