Ying Ji

872 total citations
50 papers, 562 citations indexed

About

Ying Ji is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Ying Ji has authored 50 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 14 papers in Infectious Diseases and 11 papers in Molecular Biology. Recurrent topics in Ying Ji's work include Hepatitis B Virus Studies (10 papers), Hepatitis C virus research (8 papers) and Antifungal resistance and susceptibility (7 papers). Ying Ji is often cited by papers focused on Hepatitis B Virus Studies (10 papers), Hepatitis C virus research (8 papers) and Antifungal resistance and susceptibility (7 papers). Ying Ji collaborates with scholars based in China, United States and Ghana. Ying Ji's co-authors include Holly R. Hull, Dympna Gallagher, Khursheed Navder, Charles Paley, Qing‐Hua Gao, Ke Duan, Barak Rosenn, John C. Thornton, Karen Dorsey and Lili Ju and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and American Journal of Obstetrics and Gynecology.

In The Last Decade

Ying Ji

47 papers receiving 550 citations

Peers

Ying Ji
Ying Ji
Citations per year, relative to Ying Ji Ying Ji (= 1×) peers Viviana Sánchez-Encinales

Countries citing papers authored by Ying Ji

Since Specialization
Citations

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

Fields of papers citing papers by Ying Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Ji. A scholar is included among the top collaborators of Ying Ji 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 Ying Ji. Ying Ji 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.
Ji, Ying & Jiashuo Li. (2025). Population aging, digital economy and family tourism consumption. Finance research letters. 82. 107634–107634. 2 indexed citations
2.
Li, Jingyi, Yang Pan, Xinxin Tong, et al.. (2023). Evolutionary Origin, Genetic Recombination, and Phylogeography of Porcine Kobuvirus. Viruses. 15(1). 240–240. 4 indexed citations
3.
Meng, Ran, et al.. (2023). The potential role of gut microbiota outer membrane vesicles in colorectal cancer. Frontiers in Microbiology. 14. 1270158–1270158. 12 indexed citations
5.
Ji, Ying, Lili Song, Liqing Zhang, et al.. (2022). Different responses to elevated temperature in the representative strains of strawberry pathogenic Colletotrichum spp.from eastern China. Mycological Progress. 22(1). 3 indexed citations
6.
Zhang, Haiying, Ying Ji, Cong Xu, et al.. (2022). Inactivated Vaccines Against SARS-CoV-2: Neutralizing Antibody Titers in Vaccine Recipients. Frontiers in Microbiology. 13. 816778–816778. 15 indexed citations
7.
Ma, Yan, et al.. (2022). Assessment of the Clinical Diagnosis of Onychomycosis by Dermoscopy. Frontiers in Surgery. 9. 854632–854632. 1 indexed citations
8.
Liu, Ya, Ying Ji, Lili Song, et al.. (2021). Loop-mediated isothermal amplification and PCR combined assay to detect and distinguish latent Colletotrichum spp. infection on strawberry. Journal of Plant Pathology. 103(3). 887–899. 7 indexed citations
10.
Feng, Wenli, et al.. (2021). Cotreatment with Aspirin and Azole Drugs Increases Sensitivity of Candida albicans in vitro. Infection and Drug Resistance. Volume 14. 2027–2038. 7 indexed citations
14.
Feng, Wenli, et al.. (2019). Regulatory Role of ERG3 and Efg1 in Azoles-Resistant Strains of Candida albicans Isolated from Patients Diagnosed with Vulvovaginal Candidiasis. Indian Journal of Microbiology. 59(4). 514–524. 12 indexed citations
15.
Qian, Jiang, et al.. (2014). Comparison of telbivudine versus lamivudine in interrupting perinatal transmission of hepatitis B virus. Journal of Clinical Virology. 61(1). 55–60. 23 indexed citations
16.
Qian, Jiang, et al.. (2013). Correlation between Vertical Transmission of Hepatitis B Virus and the Expression of HBsAg in Ovarian Follicles and Placenta. PLoS ONE. 8(1). e54246–e54246. 23 indexed citations
17.
Guo, Jianping, et al.. (2011). Preparation and application of monoclonal antibodies against hepatitis C virus nonstructural proteins. World Journal of Gastroenterology. 3(2). 114–114.
18.
Xia, Yujia, et al.. (2011). Relationship between HBV cccDNA expression in the human ovary and vertical transmission of HBV. Epidemiology and Infection. 140(8). 1454–1460. 18 indexed citations
19.
Hull, Holly R., John C. Thornton, Ying Ji, et al.. (2011). Higher infant body fat with excessive gestational weight gain in overweight women. American Journal of Obstetrics and Gynecology. 205(3). 211.e1–211.e7. 106 indexed citations
20.
Guo, Fang, Qixin Wang, DeGui Sun, et al.. (2004). [Clinical outcomes of women with transfusion-associated hepatitis C after 10-15 years follow-up].. PubMed. 18(2). 132–6. 2 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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