Juan Du

5.3k total citations · 1 hit paper
111 papers, 3.6k citations indexed

About

Juan Du is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Juan Du has authored 111 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 27 papers in Epidemiology and 17 papers in Cancer Research. Recurrent topics in Juan Du's work include Cervical Cancer and HPV Research (19 papers), Head and Neck Cancer Studies (15 papers) and Cancer-related molecular mechanisms research (14 papers). Juan Du is often cited by papers focused on Cervical Cancer and HPV Research (19 papers), Head and Neck Cancer Studies (15 papers) and Cancer-related molecular mechanisms research (14 papers). Juan Du collaborates with scholars based in China, Sweden and United States. Juan Du's co-authors include Tina Dalianis, Anders Näsman, Torbjörn Ramqvist, Liqin Cheng, Eva Munck‐Wikland, Yan Wang, Lalle Hammarstedt‐Nordenvall, Per Attner, Linda Marklund and Lars Engstrand and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Juan Du

108 papers receiving 3.5k citations

Hit Papers

Incidence of human papillomavirus (HPV) positive tonsilla... 2009 2026 2014 2020 2009 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
Juan Du China 30 1.0k 1.0k 1.0k 690 659 111 3.6k
David Hwang Canada 43 685 0.7× 1.7k 1.6× 266 0.3× 1.8k 2.7× 718 1.1× 151 6.4k
Giuseppe Troiano Italy 37 206 0.2× 1.5k 1.5× 505 0.5× 603 0.9× 641 1.0× 193 5.5k
Palle Holmstrup Denmark 58 1.1k 1.0× 1.2k 1.2× 806 0.8× 1.2k 1.7× 314 0.5× 199 10.1k
Yu‐Chieh Su Taiwan 32 764 0.7× 780 0.8× 360 0.4× 551 0.8× 767 1.2× 194 3.6k
Mark Yen‐Ping Kuo Taiwan 38 574 0.5× 1.6k 1.6× 365 0.4× 333 0.5× 658 1.0× 127 4.2k
R Serpico Italy 32 375 0.4× 722 0.7× 374 0.4× 499 0.7× 302 0.5× 146 3.5k
Aline Carvalho Batista Brazil 32 238 0.2× 692 0.7× 354 0.4× 482 0.7× 899 1.4× 172 3.4k
James N. Palmer United States 52 1.3k 1.3× 1.0k 1.0× 4.9k 4.8× 5.0k 7.2× 293 0.4× 354 10.4k
Hajime Takizawa Japan 38 829 0.8× 926 0.9× 71 0.1× 398 0.6× 439 0.7× 220 5.3k
Guojun Li China 40 846 0.8× 2.5k 2.5× 1.2k 1.2× 957 1.4× 1.6k 2.4× 279 5.7k

Countries citing papers authored by Juan Du

Since Specialization
Citations

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

Fields of papers citing papers by Juan Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Du

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Du. A scholar is included among the top collaborators of Juan Du 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 Juan Du. Juan Du 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.
3.
Du, Juan, et al.. (2024). Granulosa Cells-Related MicroRNAs in Ovarian Diseases: Mechanism, Facts and Perspectives. Reproductive Sciences. 31(12). 3635–3650. 7 indexed citations
4.
Qian, Chungen, et al.. (2024). Exosomal non-coding RNAs (ncRNAs) as potential biomarkers in tumor early diagnosis. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1879(6). 189188–189188. 7 indexed citations
5.
Hong, Fanzhen, et al.. (2024). Exploring the Clinical Signatures of Cervical Dysplasia Patients and Their Association With Vaginal Microbiota. Cancer Medicine. 13(23). e70440–e70440. 5 indexed citations
6.
Wang, Xiran, Dongrui Chen, Juan Du, et al.. (2023). Occupational exposure in swine farm defines human skin and nasal microbiota. Frontiers in Microbiology. 14. 1117866–1117866. 2 indexed citations
7.
Zhang, Chenguang, Huifeng Liu, Lei Sun, et al.. (2023). An overview of host‐derived molecules that interact with gut microbiota. SHILAP Revista de lepidopterología. 2(2). e88–e88. 37 indexed citations
8.
Wang, Ziyue, Zixin Zeng, Feng Gao, et al.. (2023). Osteosarcoma transcriptome data exploration reveals STC2 as a novel risk indicator in disease progression. BMC Medical Genomics. 16(1). 30–30. 1 indexed citations
9.
Meng, Jialin, Aimin Jiang, Xiaofan Lu, et al.. (2023). Multiomics characterization and verification of clear cell renal cell carcinoma molecular subtypes to guide precise chemotherapy and immunotherapy. SHILAP Revista de lepidopterología. 2(4). e147–e147. 21 indexed citations
10.
Nersisyan, Lilit, Mengjun Wu, Jing Wang, et al.. (2023). Atlas of mRNA translation and decay for bacteria. Nature Microbiology. 8(6). 1123–1136. 15 indexed citations
11.
Du, Juan, Yitong Liu, Zhenhua Luo, et al.. (2023). γδT cells in oral tissue immune surveillance and pathology. Frontiers in Immunology. 13. 1050030–1050030. 7 indexed citations
12.
Lin, Weifeng, Elisabeth Norin, Didem Kart, et al.. (2023). Sensitive quantification of short-chain fatty acids combined with global metabolomics in microbiome cultures. Chemical Communications. 59(39). 5843–5846. 4 indexed citations
13.
Fransson, Emma, Unnur Guðnadóttir, Luisa W. Hugerth, et al.. (2022). Cohort profile: the Swedish Maternal Microbiome project (SweMaMi) – assessing the dynamic associations between the microbiome and maternal and neonatal adverse events. BMJ Open. 12(10). e065825–e065825. 5 indexed citations
14.
Meng, Ting, et al.. (2022). The Association Between the Duration, Treatment, Control of Hypertension and Lifestyle Risk Factors in Middle-Aged and Elderly Patients with Mild Cognitive Impairment: A Case-Control Study. SHILAP Revista de lepidopterología. 3 indexed citations
16.
Yang, Geng, Zhe Zhang, Yang Liu, et al.. (2020). Keep Healthcare Workers Safe: Application of Teleoperated Robot in Isolation Ward for COVID-19 Prevention and Control. Chinese Journal of Mechanical Engineering. 33(1). 54 indexed citations
17.
Du, Juan, Akimasa Seno, Aung Ko Ko Oo, et al.. (2020). Upregulated CCL20 and CCR6 in Cancer Stem Cells Converted from Mouse iPS Cells. Okayama University Scientific Achievement Repository (Okayama University). 8(1). 200–207. 1 indexed citations
18.
Ährlund‐Richter, Andreas, Liqin Cheng, Yue Hu, et al.. (2019). Changes in Cervical Human Papillomavirus (HPV) Prevalence at a Youth Clinic in Stockholm, Sweden, a Decade After the Introduction of the HPV Vaccine. Frontiers in Cellular and Infection Microbiology. 9. 59–59. 36 indexed citations
19.
Du, Juan, et al.. (2016). The type III secretion system apparatus determines the intracellular niche of bacterial pathogens. Proceedings of the National Academy of Sciences. 113(17). 4794–4799. 82 indexed citations
20.
Wang, Linqiong, Yi Li, Wenlong Zhang, et al.. (2015). Isolation and characterization of two novel psychrotrophic decabromodiphenyl ether-degrading bacteria from river sediments. Environmental Science and Pollution Research. 23(11). 10371–10381. 15 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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