Arnold Park

2.3k total citations
22 papers, 1.4k citations indexed

About

Arnold Park is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Arnold Park has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 10 papers in Infectious Diseases and 7 papers in Molecular Biology. Recurrent topics in Arnold Park's work include Virology and Viral Diseases (13 papers), Viral Infections and Vectors (7 papers) and HIV Research and Treatment (3 papers). Arnold Park is often cited by papers focused on Virology and Viral Diseases (13 papers), Viral Infections and Vectors (7 papers) and HIV Research and Treatment (3 papers). Arnold Park collaborates with scholars based in United States, United Kingdom and Japan. Arnold Park's co-authors include Benhur Lee, Alexander N. Freiberg, Tatyana Yun, Kirsten S. Sigrist, Sudarshana M. Sharma, Yasuyoshi Ueki, Antonios O. Aliprantis, Rosalyn Sulyanto, Laurie H. Glimcher and Michael C. Ostrowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Arnold Park

22 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnold Park United States 16 670 585 583 201 196 22 1.4k
Kevin L. McKnight United States 18 486 0.7× 630 1.1× 765 1.3× 104 0.5× 227 1.2× 32 1.8k
Misako Yoneda Japan 24 961 1.4× 307 0.5× 770 1.3× 354 1.8× 296 1.5× 72 1.6k
Joanne York United States 24 489 0.7× 299 0.5× 1.2k 2.1× 235 1.2× 387 2.0× 39 1.8k
Bruce A. Mungall Australia 31 1.6k 2.4× 501 0.9× 953 1.6× 150 0.7× 209 1.1× 44 2.4k
Zongdi Feng United States 24 794 1.2× 683 1.2× 1.3k 2.2× 109 0.5× 441 2.3× 43 2.7k
Drew Hannaman United States 25 390 0.6× 479 0.8× 554 1.0× 120 0.6× 726 3.7× 55 1.6k
Rohit K. Jangra United States 22 395 0.6× 827 1.4× 877 1.5× 99 0.5× 485 2.5× 43 2.2k
Nao Jounai Japan 21 658 1.0× 744 1.3× 348 0.6× 157 0.8× 893 4.6× 33 1.8k
Geng Meng China 18 338 0.5× 466 0.8× 525 0.9× 79 0.4× 232 1.2× 46 1.3k
Ignacio Mena United States 26 1.1k 1.6× 571 1.0× 888 1.5× 288 1.4× 490 2.5× 56 2.2k

Countries citing papers authored by Arnold Park

Since Specialization
Citations

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

Fields of papers citing papers by Arnold Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnold Park

This figure shows the co-authorship network connecting the top 25 collaborators of Arnold Park. A scholar is included among the top collaborators of Arnold Park 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 Arnold Park. Arnold Park 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.
Stevens, Christian S., Ruth Watkinson, Arnold Park, et al.. (2024). A temperature-sensitive and less immunogenic Sendai virus for efficient gene editing. Journal of Virology. 98(12). e0083224–e0083224. 1 indexed citations
2.
McAllaster, Michael R., Dale R. Balce, Anthony Orvedahl, et al.. (2023). Autophagy gene-dependent intracellular immunity triggered by interferon-γ. mBio. 14(6). e0233223–e0233223. 7 indexed citations
3.
Ikegame, Satoshi, Shannon M. Beaty, Christian S. Stevens, et al.. (2020). Genome-wide transposon mutagenesis of paramyxoviruses reveals constraints on genomic plasticity. PLoS Pathogens. 16(10). e1008877–e1008877. 2 indexed citations
4.
Park, Arnold & Guoyan Zhao. (2018). Mining the Virome for Insights into Type 1 Diabetes. DNA and Cell Biology. 37(5). 422–425. 9 indexed citations
5.
Dawes, Brian E., Birte Kalveram, Tetsuro Ikegami, et al.. (2018). Favipiravir (T-705) protects against Nipah virus infection in the hamster model. Scientific Reports. 8(1). 7604–7604. 106 indexed citations
6.
Escaffre, Olivier, Terence E. Hill, Tetsuro Ikegami, et al.. (2018). Experimental Infection of Syrian Hamsters With Aerosolized Nipah Virus. The Journal of Infectious Diseases. 218(10). 1602–1610. 23 indexed citations
7.
Zhao, Guoyan, Tommi Vatanen, Lindsay Droit, et al.. (2017). Intestinal virome changes precede autoimmunity in type I diabetes-susceptible children. Proceedings of the National Academy of Sciences. 114(30). E6166–E6175. 212 indexed citations
8.
Ortega, Victoria, et al.. (2017). Cytoplasmic Motifs in the Nipah Virus Fusion Protein Modulate Virus Particle Assembly and Egress. Journal of Virology. 91(10). 25 indexed citations
9.
Park, Arnold, Patrick Hong, Sohui T. Won, et al.. (2016). Sendai virus, an RNA virus with no risk of genomic integration, delivers CRISPR/Cas9 for efficient gene editing. Molecular Therapy — Methods & Clinical Development. 3. 16057–16057. 47 indexed citations
10.
Park, Arnold, Tatyana Yun, Frédéric Vigant, et al.. (2016). Nipah Virus C Protein Recruits Tsg101 to Promote the Efficient Release of Virus in an ESCRT-Dependent Pathway. PLoS Pathogens. 12(5). e1005659–e1005659. 33 indexed citations
11.
Bharaj, Preeti, Yao E. Wang, Brian E. Dawes, et al.. (2016). The Matrix Protein of Nipah Virus Targets the E3-Ubiquitin Ligase TRIM6 to Inhibit the IKKε Kinase-Mediated Type-I IFN Antiviral Response. PLoS Pathogens. 12(9). e1005880–e1005880. 84 indexed citations
12.
Pentecost, Mickey, Ajay A. Vashisht, Shannon M. Beaty, et al.. (2015). Evidence for Ubiquitin-Regulated Nuclear and Subnuclear Trafficking among Paramyxovirinae Matrix Proteins. PLoS Pathogens. 11(3). e1004739–e1004739. 62 indexed citations
13.
Pernet, Olivier, Bradley S. Schneider, Shannon M. Beaty, et al.. (2014). Evidence for henipavirus spillover into human populations in Africa. Nature Communications. 5(1). 5342–5342. 142 indexed citations
14.
15.
Garner, Omai B., Tatyana Yun, Olivier Pernet, et al.. (2014). Timing of Galectin-1 Exposure Differentially Modulates Nipah Virus Entry and Syncytium Formation in Endothelial Cells. Journal of Virology. 89(5). 2520–2529. 34 indexed citations
16.
17.
Wang, Yao E., Arnold Park, M. Lake, et al.. (2010). Ubiquitin-Regulated Nuclear-Cytoplasmic Trafficking of the Nipah Virus Matrix Protein Is Important for Viral Budding. PLoS Pathogens. 6(11). e1001186–e1001186. 115 indexed citations
18.
Aliprantis, Antonios O., Yasuyoshi Ueki, Rosalyn Sulyanto, et al.. (2008). NFATc1 in mice represses osteoprotegerin during osteoclastogenesis and dissociates systemic osteopenia from inflammation in cherubism. Journal of Clinical Investigation. 118(11). 3775–3789. 289 indexed citations
19.
Rengarajan, Jyothi, Elissa Murphy, Arnold Park, et al.. (2008). Mycobacterium tuberculosis Rv2224c modulates innate immune responses. Proceedings of the National Academy of Sciences. 105(1). 264–269. 74 indexed citations
20.
Park, Arnold, et al.. (2003). Interfering antibodies affecting immunoassays in woman with pet rabbits. BMJ. 326(7388). 541.1–542. 4 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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