Panpan Han

429 total citations
31 papers, 348 citations indexed

About

Panpan Han is a scholar working on Molecular Biology, Immunology and Microbiology. According to data from OpenAlex, Panpan Han has authored 31 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Immunology and 11 papers in Microbiology. Recurrent topics in Panpan Han's work include Antimicrobial Peptides and Activities (11 papers), Aquaculture disease management and microbiota (10 papers) and Protein Hydrolysis and Bioactive Peptides (6 papers). Panpan Han is often cited by papers focused on Antimicrobial Peptides and Activities (11 papers), Aquaculture disease management and microbiota (10 papers) and Protein Hydrolysis and Bioactive Peptides (6 papers). Panpan Han collaborates with scholars based in China, Egypt and Canada. Panpan Han's co-authors include Yingmin Jia, Qiaoqing Xu, Wenbing Zhang, Shuhuan Zhang, Yingmin Jia, Qiwei Wei, Ahmed A. Zaky, Zhou Chen, Aijin Ma and Siting Li and has published in prestigious journals such as Food Chemistry, Applied Microbiology and Biotechnology and Frontiers in Microbiology.

In The Last Decade

Panpan Han

31 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panpan Han China 13 149 136 107 80 45 31 348
Nagarajan Balachandran Dhayanithi India 11 192 1.3× 78 0.6× 24 0.2× 32 0.4× 22 0.5× 21 312
Sompong Doolgindachbaporn Thailand 11 387 2.6× 90 0.7× 23 0.2× 47 0.6× 51 1.1× 16 528
Bruno Lopes de Sousa Brazil 12 114 0.8× 216 1.6× 30 0.3× 15 0.2× 20 0.4× 21 334
Li-Ling Liaw Taiwan 11 49 0.3× 114 0.8× 23 0.2× 16 0.2× 19 0.4× 17 379
Manal I. El‐Barbary Egypt 12 223 1.5× 66 0.5× 15 0.1× 15 0.2× 43 1.0× 32 373
Haibin Hu China 13 377 2.5× 102 0.8× 24 0.2× 28 0.3× 13 0.3× 21 557
Sérgio Amorim de Alencar Brazil 12 37 0.2× 211 1.6× 59 0.6× 16 0.2× 9 0.2× 25 366
Irina V. Chikalovets Russia 14 273 1.8× 263 1.9× 39 0.4× 16 0.2× 28 0.6× 40 452
Daniela O. Toyama Brazil 18 41 0.3× 338 2.5× 38 0.4× 33 0.4× 6 0.1× 32 638
Huang Yu China 6 278 1.9× 38 0.3× 16 0.1× 35 0.4× 28 0.6× 8 328

Countries citing papers authored by Panpan Han

Since Specialization
Citations

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

Fields of papers citing papers by Panpan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panpan Han

This figure shows the co-authorship network connecting the top 25 collaborators of Panpan Han. A scholar is included among the top collaborators of Panpan 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 Panpan Han. Panpan 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.
Han, Panpan, Mingrui Li, Zhixin Wang, et al.. (2024). Sucrose laurate and nisin synergistically inhibit Bacillus subtilis by multiple antibacterial targets and play promising application potential in bread preservation. Food Chemistry. 470. 142696–142696. 5 indexed citations
2.
Han, Panpan, Yang Zhou, & Weihua Deng. (2024). Modeling telomere shortening process. Quantitative Biology. 13(1). e74–e74. 1 indexed citations
3.
Han, Panpan, et al.. (2024). A study on the plasma proteomics of different types of depressive disorders based on label-free data-independent acquisition proteomic technology. Journal of Affective Disorders. 371. 91–103. 3 indexed citations
4.
5.
Chen, Zien, Panpan Han, Xiaoying Che, et al.. (2023). Biocontrol fungi induced stem-base rot disease resistance of Morinda officinalis How revealed by transcriptome analysis. Frontiers in Microbiology. 14. 1257437–1257437. 2 indexed citations
6.
Chen, Zhou, Lulu Wang, Panpan Han, et al.. (2022). Brevilaterin B from Brevibacillus laterosporus has selective antitumor activity and induces apoptosis in epidermal cancer. World Journal of Microbiology and Biotechnology. 38(11). 201–201. 12 indexed citations
7.
Ning, Yawei, Zhou Chen, Panpan Han, et al.. (2022). Transcriptomics reveals substance biosynthesis and transport on membranes of Listeria monocytogenes affected by antimicrobial lipopeptide brevilaterin B. Food Science and Human Wellness. 12(4). 1359–1368. 14 indexed citations
8.
Wang, Qinghua, Panpan Han, Siting Li, et al.. (2021). Potential anti-inflammatory activity of walnut protein derived peptide leucine-proline-phenylalanine in lipopolysaccharides-irritated RAW264.7 cells. Food and Agricultural Immunology. 32(1). 663–678. 17 indexed citations
9.
10.
Zaky, Ahmed A., et al.. (2020). Effect of flavorzyme digestion on the antioxidant capacities of ultra‐filtrated rice bran protein hydrolyzates. Journal of Food Processing and Preservation. 44(8). 24 indexed citations
11.
Ma, Aijin, et al.. (2020). Antibacterial mechanism of brevilaterin B: an amphiphilic lipopeptide targeting the membrane of Listeria monocytogenes. Applied Microbiology and Biotechnology. 104(24). 10531–10539. 22 indexed citations
12.
Han, Panpan, et al.. (2019). Identification and characterization of three CXC chemokines in Asian swamp eel (Monopterus albus) uncovers a third CXCL11_like group in fish. Developmental & Comparative Immunology. 101. 103454–103454. 18 indexed citations
13.
14.
Han, Panpan, et al.. (2019). Expression analysis of cathelicidin and NK‐lysin in Dabry’s sturgeon ( Acipenser dabryanus ). Journal of Applied Ichthyology. 4 indexed citations
15.
Luo, Kai, Shuhuan Zhang, Panpan Han, et al.. (2018). Identification ofinterleukin‐16(IL‐16) andinterleukin‐17D(IL‐17D) genes from Dabry's sturgeon (Acipenser dabryanus). Journal of Applied Ichthyology. 35(1). 238–248. 3 indexed citations
16.
Zhang, Shuhuan, Panpan Han, Kai Luo, et al.. (2018). Bioinformatic analysis of antivirus‐related TRIM genes in Dabry’s sturgeon Acipenser dabryanus. Journal of Applied Ichthyology. 35(1). 226–234. 7 indexed citations
17.
Luo, Kai, Panpan Han, Shuhuan Zhang, et al.. (2018). Transcriptome analysis of the critically endangered Dabry's sturgeon (Acipenser dabryanus) head kidney response to Aeromonas hydrophila. Fish & Shellfish Immunology. 83. 249–261. 34 indexed citations
18.
Qi, Zhitao, Sisi Wang, Xiao‐Zhen Zhu, et al.. (2018). Molecular characterization of three toll-like receptors (TLR21, TLR22, and TLR25) from a primitive ray-finned fish Dabry's sturgeon (Acipenser dabryanus). Fish & Shellfish Immunology. 82. 200–211. 24 indexed citations
19.
Han, Panpan, Sisi Wang, Qihuan Zhang, et al.. (2018). Molecular characterization and expression analysis of TLR1 and TLR4 from the endangered fish Dabry's sturgeon (Acipenser dabryanus). Developmental & Comparative Immunology. 86. 180–188. 18 indexed citations
20.
Zhang, Qihuan, Panpan Han, Bei Huang, et al.. (2017). Molecular Cloning, Characterization, and Expression Analysis of Cathepsin A in the Chinese Giant Salamander Andrias davidianus. Journal of Aquatic Animal Health. 29(4). 199–207. 3 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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