Yanping Han

1.7k total citations
45 papers, 1.2k citations indexed

About

Yanping Han is a scholar working on Genetics, Molecular Biology and Parasitology. According to data from OpenAlex, Yanping Han has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 27 papers in Molecular Biology and 14 papers in Parasitology. Recurrent topics in Yanping Han's work include Yersinia bacterium, plague, ectoparasites research (34 papers), Bacillus and Francisella bacterial research (21 papers) and Vector-borne infectious diseases (13 papers). Yanping Han is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (34 papers), Bacillus and Francisella bacterial research (21 papers) and Vector-borne infectious diseases (13 papers). Yanping Han collaborates with scholars based in China, United States and Czechia. Yanping Han's co-authors include Ruifu Yang, Dongsheng Zhou, Yajun Song, Zongmin Du, Zhaobiao Guo, Peitang Huang, Junhui Zhai, Zongzhong Tong, Xin Pang and Xiaoyi Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Bacteriology.

In The Last Decade

Yanping Han

44 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanping Han China 20 811 641 263 211 181 45 1.2k
Svetlana V. Dentovskaya Russia 18 839 1.0× 598 0.9× 189 0.7× 186 0.9× 211 1.2× 76 1.1k
Clayton O. Jarrett United States 20 1.2k 1.5× 703 1.1× 556 2.1× 192 0.9× 251 1.4× 31 1.4k
Sophie E.C. Leary United Kingdom 15 1.1k 1.3× 695 1.1× 360 1.4× 197 0.9× 372 2.1× 16 1.3k
Matthew L. Nilles United States 17 752 0.9× 471 0.7× 177 0.7× 112 0.5× 425 2.3× 34 1.3k
Michaël Marceau France 20 581 0.7× 533 0.8× 97 0.4× 107 0.5× 244 1.3× 34 1.2k
Jim Hill United Kingdom 19 882 1.1× 556 0.9× 286 1.1× 182 0.9× 313 1.7× 24 1.3k
Scott A. Minnich United States 23 910 1.1× 785 1.2× 159 0.6× 120 0.6× 507 2.8× 48 1.6k
Vladimir L. Motin United States 26 1.4k 1.7× 1.0k 1.6× 503 1.9× 344 1.6× 378 2.1× 75 1.9k
Ann Kathrin Heroven Germany 24 957 1.2× 705 1.1× 92 0.3× 118 0.6× 460 2.5× 36 1.4k
Cécile Neyt Belgium 10 931 1.1× 427 0.7× 125 0.5× 210 1.0× 515 2.8× 11 1.4k

Countries citing papers authored by Yanping Han

Since Specialization
Citations

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

Fields of papers citing papers by Yanping Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanping Han

This figure shows the co-authorship network connecting the top 25 collaborators of Yanping Han. A scholar is included among the top collaborators of Yanping Han 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 Yanping Han. Yanping Han 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.
Wu, Hao, et al.. (2025). Molecular mechanisms and applications of natural transformation in bacteria. Frontiers in Microbiology. 16. 1578813–1578813.
2.
Gao, Xiaofang, Haili Wang, Zhi‐Juan Wu, et al.. (2024). The Characteristic of Biofilm Formation in ESBL‐Producing K. pneumoniae Isolates. Canadian Journal of Infectious Diseases and Medical Microbiology. 2024(1). 1802115–1802115. 1 indexed citations
3.
Li, Yixuan, Zizhong Liu, Gui Luo, et al.. (2023). Effects of 60 days of 6° head-down bed rest on the composition and function of the human gut microbiota. iScience. 26(5). 106615–106615. 4 indexed citations
5.
Yang, Ruifu, Steve Atkinson, Yujun Cui, et al.. (2023). Yersinia pestis and Plague: Some Knowns and Unknowns. SHILAP Revista de lepidopterología. 3(1). 22 indexed citations
6.
Chen, Yulu, Ye Li, Qingwen Zhang, et al.. (2022). Attenuation of Yersinia pestis fyuA Mutants Caused by Iron Uptake Inhibition and Decreased Survivability in Macrophages. Frontiers in Cellular and Infection Microbiology. 12. 874773–874773. 5 indexed citations
7.
Liu, Zizhong, Hongduo Wang, Haihong Fang, et al.. (2016). Plasmid pPCP1-derived sRNA HmsA promotes biofilm formation of Yersinia pestis. BMC Microbiology. 16(1). 176–176. 15 indexed citations
8.
Liu, Zizhong, Haili Wang, Jing Wang, et al.. (2015). Intrinsic plasmids influence MicF-mediated translational repression of ompF in Yersinia pestis. Frontiers in Microbiology. 6. 862–862. 8 indexed citations
9.
Deng, Zhongliang, Zizhong Liu, Junming He, et al.. (2015). TyrR, the regulator of aromatic amino acid metabolism, is required for mice infection of Yersinia pestis. Frontiers in Microbiology. 6. 110–110. 13 indexed citations
10.
Zhou, Jiyuan, Yujing Bi, Yefeng Qiu, et al.. (2013). Bioluminescent tracking of colonization and clearance dynamics of plasmid-deficient Yersinia pestis strains in a mouse model of septicemic plague. Microbes and Infection. 16(3). 214–224. 9 indexed citations
11.
Deng, Zhongliang, Zizhong Liu, Yiquan Zhang, et al.. (2012). Two sRNA RyhB homologs from Yersinia pestis biovar microtus expressed in vivo have differential Hfq-dependent stability. Research in Microbiology. 163(6-7). 413–418. 42 indexed citations
12.
Yang, Ruifu, Zongmin Du, Yanping Han, et al.. (2012). Omics strategies for revealing Yersinia pestis virulence. Frontiers in Cellular and Infection Microbiology. 2. 157–157. 11 indexed citations
13.
Zhou, Lei, Wantao Ying, Yanping Han, et al.. (2011). A proteome reference map and virulence factors analysis of Yersinia pestis 91001. Journal of Proteomics. 75(3). 894–907. 16 indexed citations
14.
Han, Yanping, Zhengyu Li, Xi Sun, et al.. (2011). Molecular cloning and characterization of a cathepsin B from Angiostrongylus cantonensis. Parasitology Research. 109(2). 369–378. 18 indexed citations
15.
Liu, Yuhong, Yanping Han, Zhengyu Li, et al.. (2010). Molecular cloning and characterization of cystatin, a cysteine protease inhibitor, from Angiostrongylus cantonensis. Parasitology Research. 107(4). 915–922. 20 indexed citations
16.
Geng, Jing, Yajun Song, Yanyan Feng, et al.. (2009). Involvement of the Post-Transcriptional Regulator Hfq in Yersinia pestis Virulence. PLoS ONE. 4(7). e6213–e6213. 85 indexed citations
17.
Zhou, Dongsheng, Yanping Han, Jingfu Qiu, et al.. (2006). Genome-wide transcriptional response of Yersinia pestis to stressful conditions simulating phagolysosomal environments. Microbes and Infection. 8(12-13). 2669–2678. 20 indexed citations
18.
Zhou, Dongsheng, Long Qin, Yanping Han, et al.. (2006). Global analysis of iron assimilation and fur regulation in Yersinia pestis. FEMS Microbiology Letters. 258(1). 9–17. 63 indexed citations
19.
Zhou, Dongsheng, Yanping Han, Yajun Song, Peitang Huang, & Ruifu Yang. (2004). Comparative and evolutionary genomics of Yersinia pestis. Microbes and Infection. 6(13). 1226–1234. 63 indexed citations
20.
Han, Yanping, Dongsheng Zhou, Xin Pang, et al.. (2004). Comparative transcriptome analysis of Yersinia pestis in response to hyperosmotic and high-salinity stress. Research in Microbiology. 156(3). 403–415. 38 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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