Yu Cong

1.1k total citations
18 papers, 373 citations indexed

About

Yu Cong is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yu Cong has authored 18 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 8 papers in Epidemiology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yu Cong's work include Viral Infections and Vectors (8 papers), Virology and Viral Diseases (6 papers) and Viral Infections and Outbreaks Research (6 papers). Yu Cong is often cited by papers focused on Viral Infections and Vectors (8 papers), Virology and Viral Diseases (6 papers) and Viral Infections and Outbreaks Research (6 papers). Yu Cong collaborates with scholars based in United States and China. Yu Cong's co-authors include Peter B. Jahrling, Michael R. Holbrook, Elena Postnikova, Huanying Zhou, Lisa E. Hensley, Julie Dyall, Shuǐqìng Yú, Brit J. Hart, Robin Gross and Pramila Walpita and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Infectious Diseases.

In The Last Decade

Yu Cong

18 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Cong United States 11 258 167 65 61 26 18 373
Carolin M. Lieber United States 9 229 0.9× 133 0.8× 25 0.4× 78 1.3× 31 1.2× 15 339
Parastoo Hosseini Iran 10 225 0.9× 68 0.4× 21 0.3× 80 1.3× 43 1.7× 24 378
Federica Frasca Italy 13 165 0.6× 70 0.4× 32 0.5× 73 1.2× 86 3.3× 43 363
Josef D. Wolf United States 7 430 1.7× 187 1.1× 24 0.4× 87 1.4× 29 1.1× 12 544
Jang‐Hoon Choi South Korea 10 159 0.6× 137 0.8× 13 0.2× 67 1.1× 49 1.9× 16 318
Jessica Oi‐Ling Tsang China 10 318 1.2× 140 0.8× 304 4.7× 75 1.2× 45 1.7× 11 503
Priscila Sutto‐Ortiz France 8 238 0.9× 161 1.0× 29 0.4× 126 2.1× 33 1.3× 16 411
Fábio Luís Lima Monteiro Brazil 6 180 0.7× 45 0.3× 142 2.2× 51 0.8× 17 0.7× 10 283
Saumya Anang United States 12 353 1.4× 95 0.6× 14 0.2× 79 1.3× 54 2.1× 24 591
Rong Xiang China 8 330 1.3× 44 0.3× 43 0.7× 142 2.3× 47 1.8× 15 466

Countries citing papers authored by Yu Cong

Since Specialization
Citations

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

Fields of papers citing papers by Yu Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Cong. A scholar is included among the top collaborators of Yu Cong 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 Yu Cong. Yu Cong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Zhou, Yonglin, et al.. (2023). Threshold of 25(OH)D and consequently adjusted parathyroid hormone reference intervals: data mining for relationship between vitamin D and parathyroid hormone. Journal of Endocrinological Investigation. 46(10). 2067–2077. 6 indexed citations
2.
Postnikova, Elena, Janie Liang, Shuǐqìng Yú, et al.. (2023). Anti-Nipah Virus Enzyme-Linked Immunosorbent Assays with Non-human Primate and Hamster Serum. Methods in molecular biology. 2682. 233–244. 1 indexed citations
3.
4.
Liu, Jianjun, Baocun Sun, Yu Cong, et al.. (2020). Predictive Value of Lymphocyte-Related Blood Parameters at the Time Point of Lymphocyte Nadir During Radiotherapy in Breast Cancer. SHILAP Revista de lepidopterología. 1 indexed citations
5.
Lara, Abigail, Yu Cong, Peter B. Jahrling, et al.. (2019). Peripheral immune response in the African green monkey model following Nipah-Malaysia virus exposure by intermediate-size particle aerosol. PLoS neglected tropical diseases. 13(6). e0007454–e0007454. 19 indexed citations
6.
Lee, Ji Hyun, Dima A. Hammoud, Yu Cong, et al.. (2019). The Use of Large-Particle Aerosol Exposure to Nipah Virus to Mimic Human Neurological Disease Manifestations in the African Green Monkey. The Journal of Infectious Diseases. 221(Supplement_4). S419–S430. 14 indexed citations
7.
8.
Hammoud, Dima A., Margaret R. Lentz, Abigail Lara, et al.. (2018). Aerosol exposure to intermediate size Nipah virus particles induces neurological disease in African green monkeys. PLoS neglected tropical diseases. 12(11). e0006978–e0006978. 25 indexed citations
9.
Postnikova, Elena, Yu Cong, Lisa Evans DeWald, et al.. (2018). Testing therapeutics in cell-based assays: Factors that influence the apparent potency of drugs. PLoS ONE. 13(3). e0194880–e0194880. 32 indexed citations
10.
Cong, Yu, Brit J. Hart, Robin Gross, et al.. (2018). MERS-CoV pathogenesis and antiviral efficacy of licensed drugs in human monocyte-derived antigen-presenting cells. PLoS ONE. 13(3). e0194868–e0194868. 80 indexed citations
11.
Dyall, Julie, Joshua C. Johnson, Brit J. Hart, et al.. (2018). In Vitro and In Vivo Activity of Amiodarone Against Ebola Virus. The Journal of Infectious Diseases. 218(suppl_5). S592–S596. 13 indexed citations
12.
DeWald, Lisa Evans, Julie Dyall, Huanying Zhou, et al.. (2018). The Calcium Channel Blocker Bepridil Demonstrates Efficacy in the Murine Model of Marburg Virus Disease. The Journal of Infectious Diseases. 218(suppl_5). S588–S591. 21 indexed citations
13.
Cong, Yu, Margaret R. Lentz, Abigail Lara, et al.. (2017). Loss in lung volume and changes in the immune response demonstrate disease progression in African green monkeys infected by small-particle aerosol and intratracheal exposure to Nipah virus. PLoS neglected tropical diseases. 11(4). e0005532–e0005532. 37 indexed citations
14.
Walpita, Pramila, Yu Cong, Peter B. Jahrling, et al.. (2017). A VLP-based vaccine provides complete protection against Nipah virus challenge following multiple-dose or single-dose vaccination schedules in a hamster model. npj Vaccines. 2(1). 21–21. 62 indexed citations
15.
Dyall, Julie, Brit J. Hart, Elena Postnikova, et al.. (2017). Interferon-β and Interferon-γ Are Weak Inhibitors of Ebola Virus in Cell-Based Assays. The Journal of Infectious Diseases. 215(9). 1416–1420. 11 indexed citations
16.
Cong, Yu, Monica A. McArthur, Melanie Cohen, et al.. (2016). Characterization of Yellow Fever Virus Infection of Human and Non-human Primate Antigen Presenting Cells and Their Interaction with CD4+ T Cells. PLoS neglected tropical diseases. 10(5). e0004709–e0004709. 31 indexed citations
17.
Sun, Bo, et al.. (2015). Diversity of platelet function and genetic polymorphism in clopidogrel-treated Chinese patients. Genetics and Molecular Research. 14(1). 1434–1442. 10 indexed citations
18.
Zhan, Ming, et al.. (1998). [The clinical and enzymatic changes in patients with viral hepatitis G infection].. PubMed. 12(4). 333–5. 1 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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