Xiaofeng Dong

914 total citations
24 papers, 202 citations indexed

About

Xiaofeng Dong is a scholar working on Infectious Diseases, Insect Science and Epidemiology. According to data from OpenAlex, Xiaofeng Dong has authored 24 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 7 papers in Insect Science and 5 papers in Epidemiology. Recurrent topics in Xiaofeng Dong's work include SARS-CoV-2 and COVID-19 Research (7 papers), Viral Infections and Outbreaks Research (7 papers) and COVID-19 Clinical Research Studies (5 papers). Xiaofeng Dong is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), Viral Infections and Outbreaks Research (7 papers) and COVID-19 Clinical Research Studies (5 papers). Xiaofeng Dong collaborates with scholars based in United Kingdom, Singapore and China. Xiaofeng Dong's co-authors include Tatsuhiko Kadowaki, Benjamin L. Makepeace, Alistair C. Darby, Stuart D. Armstrong, Dong Xia, Yunfei Wu, Julian A. Hiscox, Miles W. Carroll, Makiko Kashio and John McGarry and has published in prestigious journals such as Nucleic Acids Research, Journal of Virology and Genome biology.

In The Last Decade

Xiaofeng Dong

23 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaofeng Dong United Kingdom 9 90 77 62 52 41 24 202
Miguel L. Grau Australia 7 63 0.7× 52 0.7× 28 0.5× 115 2.2× 61 1.5× 9 212
James Lok United States 10 98 1.1× 39 0.5× 120 1.9× 78 1.5× 22 0.5× 30 315
Akarsh Manne United States 8 32 0.4× 27 0.4× 104 1.7× 29 0.6× 48 1.2× 16 249
Elzbieta Krzywińska United Kingdom 10 155 1.7× 28 0.4× 59 1.0× 117 2.3× 160 3.9× 16 317
Chrysoula Kitsou United States 11 89 1.0× 51 0.7× 84 1.4× 27 0.5× 69 1.7× 28 277
Sara Mfarrej Saudi Arabia 9 37 0.4× 10 0.1× 89 1.4× 29 0.6× 60 1.5× 19 187
Eliana Jacobson United States 7 106 1.2× 13 0.2× 80 1.3× 25 0.5× 78 1.9× 13 290
Chinmay V. Tikhe United States 11 210 2.3× 25 0.3× 71 1.1× 37 0.7× 68 1.7× 20 311
Kailey M. Slavik United States 7 48 0.5× 14 0.2× 94 1.5× 21 0.4× 143 3.5× 7 329
Fred Aboagye‐Antwi Ghana 11 113 1.3× 59 0.8× 41 0.7× 41 0.8× 44 1.1× 25 322

Countries citing papers authored by Xiaofeng Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofeng Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Dong. A scholar is included among the top collaborators of Xiaofeng Dong 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 Xiaofeng Dong. Xiaofeng Dong 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.
Nguyen, Dung, Stephen M. Laidlaw, Xiaofeng Dong, et al.. (2025). SARS-CoV-2 infection enhancement by amphotericin B: implications for disease management. Journal of Virology. 99(7). e0051925–e0051925. 1 indexed citations
2.
Dong, Xiaofeng, David A. Matthews, Giulia Gallo, et al.. (2025). Using minor variant genomes and machine learning to study the genome biology of SARS-CoV-2 over time. Nucleic Acids Research. 53(4). 1 indexed citations
3.
Dong, Xiaofeng, Isabel García-Dorival, Natasha Y. Rickett, et al.. (2025). Discontinuous EBOV RNA synthesis events in patients with Ebola virus disease and their relationship to viral load and outcome of infection. Journal of Virology. 99(12). e0082625–e0082625.
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Penrice-Randal, Rebekah, I’ah Donovan-Banfield, Craig W. Duffy, et al.. (2024). SARS-CoV-2 population dynamics in immunocompetent individuals in a closed transmission chain shows genomic diversity over the course of infection. Genome Medicine. 16(1). 89–89. 2 indexed citations
6.
Penrice-Randal, Rebekah, Xiaofeng Dong, Tessa Prince, et al.. (2023). Enrichment of SARS-CoV-2 sequence from nasopharyngeal swabs whilst identifying the nasal microbiome. Journal of Clinical Virology. 171. 105620–105620. 2 indexed citations
7.
Dong, Xiaofeng, Julia A. Tree, Logan Banadyga, et al.. (2023). Linked Mutations in the Ebola Virus Polymerase Are Associated with Organ Specific Phenotypes. Microbiology Spectrum. 11(2). e0415422–e0415422. 2 indexed citations
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10.
Lord, Jenny, Rebekah Penrice-Randal, Andrés F. Vallejo, et al.. (2022). Evaluating the Immune Response in Treatment-Naive Hospitalised Patients With Influenza and COVID-19. Frontiers in Immunology. 13. 853265–853265. 5 indexed citations
11.
Penrice-Randal, Rebekah, Xiaofeng Dong, Aaron Gardner, et al.. (2022). Blood gene expression predicts intensive care unit admission in hospitalised patients with COVID-19. Frontiers in Immunology. 13. 988685–988685. 5 indexed citations
12.
Bosworth, Andrew, Natasha Y. Rickett, Xiaofeng Dong, et al.. (2021). Analysis of an Ebola virus disease survivor whose host and viral markers were predictive of death indicates the effectiveness of medical countermeasures and supportive care. Genome Medicine. 13(1). 5–5. 9 indexed citations
13.
Watson, Robert J., Julia A. Tree, Susan Fotheringham, et al.. (2021). Dose-Dependent Response to Infection with Ebola Virus in the Ferret Model and Evidence of Viral Evolution in the Eye. Journal of Virology. 95(24). e0083321–e0083321. 11 indexed citations
14.
Dong, Xiaofeng, Jordana Muñoz‐Basagoiti, Natasha Y. Rickett, et al.. (2020). Variation around the dominant viral genome sequence contributes to viral load and outcome in patients with Ebola virus disease. Genome biology. 21(1). 238–238. 13 indexed citations
15.
Dong, Xiaofeng, Qinghe Cao, Tao Xu, et al.. (2019). A systematic comparison of eight new plastome sequences from Ipomoea L. PeerJ. 7. e6563–e6563. 11 indexed citations
16.
Esemu, Seraphine Nkie, Xiaofeng Dong, Catherine Hartley, et al.. (2019). Aquatic Hemiptera in Southwest Cameroon: Biodiversity of Potential Reservoirs of Mycobacterium ulcerans and Multiple Wolbachia Sequence Types Revealed by Metagenomics. Diversity. 11(12). 225–225. 5 indexed citations
17.
Dong, Xiaofeng, Kittipong Chaisiri, Dong Xia, et al.. (2018). Genomes of trombidid mites reveal novel predicted allergens and laterally transferred genes associated with secondary metabolism. GigaScience. 7(12). 33 indexed citations
18.
Wu, Yunfei, Xiaofeng Dong, & Tatsuhiko Kadowaki. (2017). Characterization of the Copy Number and Variants of Deformed Wing Virus (DWV) in the Pairs of Honey Bee Pupa and Infesting Varroa destructor or Tropilaelaps mercedesae. Frontiers in Microbiology. 8. 1558–1558. 28 indexed citations
19.
Kashio, Makiko, et al.. (2016). TRPA1 Channels in Drosophila and Honey Bee Ectoparasitic Mites Share Heat Sensitivity and Temperature-Related Physiological Functions. Frontiers in Physiology. 7. 447–447. 8 indexed citations
20.

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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