Lián Dŏng

2.1k total citations · 2 hit papers
14 papers, 1.5k citations indexed

About

Lián Dŏng is a scholar working on Infectious Diseases, Epidemiology and Emergency Medical Services. According to data from OpenAlex, Lián Dŏng has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 7 papers in Epidemiology and 3 papers in Emergency Medical Services. Recurrent topics in Lián Dŏng's work include Viral Infections and Outbreaks Research (12 papers), Viral Infections and Vectors (10 papers) and Hepatitis B Virus Studies (6 papers). Lián Dŏng is often cited by papers focused on Viral Infections and Outbreaks Research (12 papers), Viral Infections and Vectors (10 papers) and Hepatitis B Virus Studies (6 papers). Lián Dŏng collaborates with scholars based in United States, Germany and Netherlands. Lián Dŏng's co-authors include Sina Bavari, Travis K. Warren, Sheli R. Radoshitzky, Jens H. Kuhn, Xiǎolì Chī, Nicole L. Garza, Jay Wells, Sean A. Van Tongeren, Cary Retterer and Michael Farzan and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Lián Dŏng

14 papers receiving 1.5k citations

Hit Papers

Distinct Patterns of IFITM-Mediated Restriction of Filovi... 2011 2026 2016 2021 2011 2014 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Distinct Patterns of IFITM-Mediated Restriction of Filoviruses, SARS Coronavirus, and Influenza A Virus
    2011 471 citations I‐Chueh Huang, Charles C. Bailey et al. PLoS Pathogens profile →
  2. Protection against filovirus diseases by a novel broad-spectrum nucleoside analogue BCX4430
    2014 461 citations Travis K. Warren, Jay Wells et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lián Dŏng United States 12 1.0k 442 361 284 185 14 1.5k
Priya Luthra United States 22 986 1.0× 562 1.3× 541 1.5× 429 1.5× 220 1.2× 29 1.7k
Cary Retterer United States 16 863 0.8× 359 0.8× 146 0.4× 224 0.8× 182 1.0× 24 1.3k
Min‐Hui Wong United States 19 638 0.6× 795 1.8× 362 1.0× 270 1.0× 146 0.8× 41 1.5k
Kyle Rosenke United States 20 845 0.8× 516 1.2× 121 0.3× 250 0.9× 128 0.7× 57 1.4k
Claire Marie Filone United States 14 790 0.8× 473 1.1× 119 0.3× 258 0.9× 188 1.0× 21 1.2k
Nicholas J. Lennemann United States 16 813 0.8× 508 1.1× 257 0.7× 259 0.9× 526 2.8× 25 1.4k
Caroline Carbonnelle France 12 783 0.8× 315 0.7× 132 0.4× 253 0.9× 62 0.3× 17 1.1k
Ana I. Kuehne United States 20 1.9k 1.9× 850 1.9× 243 0.7× 502 1.8× 307 1.7× 35 2.7k
Olivier Reynard France 19 953 0.9× 393 0.9× 380 1.1× 176 0.6× 74 0.4× 37 1.4k
Nadine Biedenkopf Germany 17 783 0.8× 349 0.8× 122 0.3× 243 0.9× 92 0.5× 32 1.1k

Countries citing papers authored by Lián Dŏng

Since Specialization
Citations

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

Fields of papers citing papers by Lián Dŏng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lián Dŏng

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

All Works

14 of 14 papers shown
1.
Fedewa, Greg, Sheli R. Radoshitzky, Xiǎolì Chī, et al.. (2018). Ebola virus, but not Marburg virus, replicates efficiently and without required adaptation in snake cells. Virus Evolution. 4(2). vey034–vey034. 3 indexed citations
2.
Bixler, Sandra L., Thomas Bocan, Jay Wells, et al.. (2017). Efficacy of favipiravir (T-705) in nonhuman primates infected with Ebola virus or Marburg virus. Antiviral Research. 151. 97–104. 71 indexed citations
3.
Radoshitzky, Sheli R., Gianluca Pegoraro, Xiǎolì Chī, et al.. (2016). siRNA Screen Identifies Trafficking Host Factors that Modulate Alphavirus Infection. PLoS Pathogens. 12(3). e1005466–e1005466. 31 indexed citations
4.
Reid, St. Patrick, Sarah R. Tritsch, Krishna P. Kota, et al.. (2015). Sphingosine kinase 2 is a chikungunya virus host factor co-localized with the viral replication complex. Emerging Microbes & Infections. 4(1). 1–9. 41 indexed citations
5.
Martins, Karen, Christopher L. Cooper, Travis K. Warren, et al.. (2014). Characterization of Clinical and Immunological Parameters During Ebola Virus Infection of Rhesus Macaques. Viral Immunology. 28(1). 32–41. 27 indexed citations
6.
Warren, Travis K., Jay Wells, Rekha G. Panchal, et al.. (2014). Protection against filovirus diseases by a novel broad-spectrum nucleoside analogue BCX4430. Nature. 508(7496). 402–405. 461 indexed citations breakdown →
7.
Caì, Yíngyún, Shuǐqìng Yú, Steven Mazur, et al.. (2013). Nonhuman Transferrin Receptor 1 Is an Efficient Cell Entry Receptor for Ocozocoautla de Espinosa Virus. Journal of Virology. 87(24). 13930–13935. 3 indexed citations
8.
Huang, I‐Chueh, Charles C. Bailey, Sheli R. Radoshitzky, et al.. (2011). Distinct Patterns of IFITM-Mediated Restriction of Filoviruses, SARS Coronavirus, and Influenza A Virus. PLoS Pathogens. 7(1). e1001258–e1001258. 471 indexed citations breakdown →
9.
Radoshitzky, Sheli R., Jens H. Kuhn, Cary Retterer, et al.. (2011). Machupo Virus Glycoprotein Determinants for Human Transferrin Receptor 1 Binding and Cell Entry. PLoS ONE. 6(7). e21398–e21398. 28 indexed citations
10.
Miller, Emily Happy, Joseph S. Harrison, Sheli R. Radoshitzky, et al.. (2011). Inhibition of Ebola Virus Entry by a C-peptide Targeted to Endosomes. Journal of Biological Chemistry. 286(18). 15854–15861. 61 indexed citations
11.
Radoshitzky, Sheli R., Kelly L. Warfield, Xiǎolì Chī, et al.. (2011). Ebolavirus Δ-Peptide Immunoadhesins Inhibit Marburgvirus and Ebolavirus Cell Entry. Journal of Virology. 85(17). 8502–8513. 35 indexed citations
12.
Warren, Travis K., Kelly L. Warfield, Jay Wells, et al.. (2010). Advanced antisense therapies for postexposure protection against lethal filovirus infections. Nature Medicine. 16(9). 991–994. 154 indexed citations
13.
Radoshitzky, Sheli R., Lián Dŏng, Xiǎolì Chī, et al.. (2010). Infectious Lassa Virus, but Not Filoviruses, Is Restricted by BST-2/Tetherin. Journal of Virology. 84(20). 10569–10580. 115 indexed citations
14.
Dŏng, Lián, Jin Yang, Hong Li Yuan, En Tao Wang, & Wen Xin Chen. (2007). Chemical characteristics and influences of two fractions of Chinese lignite humic acids on urease. European Journal of Soil Biology. 44(2). 166–171. 39 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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