Amanda R. Panfil

785 total citations
29 papers, 477 citations indexed

About

Amanda R. Panfil is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Amanda R. Panfil has authored 29 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 17 papers in Ecology, Evolution, Behavior and Systematics and 15 papers in Agronomy and Crop Science. Recurrent topics in Amanda R. Panfil's work include T-cell and Retrovirus Studies (23 papers), Vector-Borne Animal Diseases (17 papers) and Animal Disease Management and Epidemiology (15 papers). Amanda R. Panfil is often cited by papers focused on T-cell and Retrovirus Studies (23 papers), Vector-Borne Animal Diseases (17 papers) and Animal Disease Management and Epidemiology (15 papers). Amanda R. Panfil collaborates with scholars based in United States, Thailand and Türkiye. Amanda R. Panfil's co-authors include Patrick L. Green, Stacy R. Hagemeier, Shannon C. Kenney, Lee Ratner, Michael P. Martinez, Meehyun Ko, Coral K. Wille, Dhananjay M. Nawandar, Kristine E. Yoder and James A. Dowdle and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Journal of Virology.

In The Last Decade

Amanda R. Panfil

28 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amanda R. Panfil United States 12 235 159 119 118 111 29 477
Dai Fujikawa Japan 8 241 1.0× 188 1.2× 130 1.1× 53 0.4× 137 1.2× 11 437
Takaharu Ueno Japan 12 221 0.9× 128 0.8× 123 1.0× 46 0.4× 117 1.1× 27 458
Takayuki Nitta United States 14 144 0.6× 198 1.2× 65 0.5× 59 0.5× 54 0.5× 25 433
Andrea K. Thoma‐Kress Germany 13 323 1.4× 116 0.7× 219 1.8× 47 0.4× 197 1.8× 29 472
Kamel Sanhadji France 10 369 1.6× 114 0.7× 107 0.9× 60 0.5× 103 0.9× 40 572
Maria Romanelli Italy 14 174 0.7× 200 1.3× 128 1.1× 69 0.6× 101 0.9× 29 536
Luca Casareto United States 9 431 1.8× 126 0.8× 260 2.2× 118 1.0× 258 2.3× 10 581
Laurent Dianoux France 12 307 1.3× 396 2.5× 84 0.7× 69 0.6× 94 0.8× 23 609
Shibani Mitra‐Kaushik United States 12 277 1.2× 189 1.2× 45 0.4× 67 0.6× 43 0.4× 17 446
M. Alt Germany 7 270 1.1× 76 0.5× 204 1.7× 71 0.6× 198 1.8× 11 438

Countries citing papers authored by Amanda R. Panfil

Since Specialization
Citations

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

Fields of papers citing papers by Amanda R. Panfil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda R. Panfil. 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 Amanda R. Panfil. The network helps show where Amanda R. Panfil may publish in the future.

Co-authorship network of co-authors of Amanda R. Panfil

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda R. Panfil. A scholar is included among the top collaborators of Amanda R. Panfil 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 Amanda R. Panfil. Amanda R. Panfil 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.
King, Emily M. & Amanda R. Panfil. (2025). Dynamic Roles of RNA and RNA Epigenetics in HTLV-1 Biology. Viruses. 17(1). 124–124. 1 indexed citations
2.
King, Emily M., et al.. (2025). YTHDF1 and YTHDC1 m 6 A reader proteins regulate HTLV-1 tax and hbz activity. Journal of Virology. 99(3). e0206324–e0206324. 3 indexed citations
3.
Panfil, Amanda R., Ancy Joseph, Daniel A. Rauch, et al.. (2024). HTLV‐1 infected T cells cause bone loss via small extracellular vesicles. Journal of Extracellular Vesicles. 13(10). e12516–e12516. 1 indexed citations
4.
Smith, Susan M., Xiaogang Cheng, Lianbo Yu, et al.. (2024). An HTLV-1 envelope mRNA vaccine is immunogenic and protective in New Zealand rabbits. Journal of Virology. 98(2). e0162323–e0162323. 4 indexed citations
5.
Panfil, Amanda R., et al.. (2023). Upregulation of Neuropilin-1 Inhibits HTLV-1 Infection. Pathogens. 12(6). 831–831.
6.
Joseph, Julie, Thomas A. Premeaux, Daniel O. Pinto, et al.. (2023). Retroviral b‐Zip protein (HBZ) contributes to the release of soluble and exosomal immune checkpoint molecules in the context of neuroinflammation. SHILAP Revista de lepidopterología. 2(7). 4 indexed citations
7.
Smith, Susan M., et al.. (2023). HTLV-1 Hbz protein, but not hbz mRNA secondary structure, is critical for viral persistence and disease development. PLoS Pathogens. 19(6). e1011459–e1011459. 9 indexed citations
8.
Smith, Susan M., Nikoloz Shkriabai, Mamuka Kvaratskhelia, et al.. (2023). The Pleiotropic Effects of YBX1 on HTLV-1 Transcription. International Journal of Molecular Sciences. 24(17). 13119–13119. 2 indexed citations
9.
Yu, Lianbo, et al.. (2023). The PRMT5 inhibitor EPZ015666 is effective against HTLV-1-transformed T-cell lines in vitro and in vivo. Frontiers in Microbiology. 14. 1101544–1101544. 10 indexed citations
10.
11.
Panfil, Amanda R., et al.. (2022). Human T-Cell Leukemia Virus Type 1 Envelope Protein: Post-Entry Roles in Viral Pathogenesis. Viruses. 14(1). 138–138. 3 indexed citations
12.
Ratner, Lee, et al.. (2022). The Past, Present, and Future of a Human T-Cell Leukemia Virus Type 1 Vaccine. Frontiers in Microbiology. 13. 897346–897346. 11 indexed citations
13.
Panfil, Amanda R., Patrick L. Green, & Kristine E. Yoder. (2020). CRISPR Genome Editing Applied to the Pathogenic Retrovirus HTLV-1. Frontiers in Cellular and Infection Microbiology. 10. 580371–580371. 8 indexed citations
14.
Martinez, Michael P., Xiaogang Cheng, Ancy Joseph, et al.. (2019). HTLV-1 CTCF-binding site is dispensable for in vitro immortalization and persistent infection in vivo. Retrovirology. 16(1). 44–44. 18 indexed citations
15.
Elshafae, Said M., Amanda R. Panfil, Jingyu Xiang, et al.. (2019). Mouse model recapitulates the phenotypic heterogeneity of human adult T-cell leukemia/lymphoma in bone. Journal of bone oncology. 19. 100257–100257. 7 indexed citations
16.
Panfil, Amanda R., et al.. (2018). Stability of the HTLV-1 Antisense-Derived Protein, HBZ, Is Regulated by the E3 Ubiquitin-Protein Ligase, UBR5. Frontiers in Microbiology. 9. 80–80. 11 indexed citations
17.
Webb, Lindsay, Stephanie A. Amici, Kyle Jablonski, et al.. (2017). PRMT5-Selective Inhibitors Suppress Inflammatory T Cell Responses and Experimental Autoimmune Encephalomyelitis. The Journal of Immunology. 198(4). 1439–1451. 55 indexed citations
18.
Panfil, Amanda R., et al.. (2016). Functional Comparison of HBZ and the Related APH-2 Protein Provides Insight into Human T-Cell Leukemia Virus Type 1 Pathogenesis. Journal of Virology. 90(7). 3760–3772. 33 indexed citations
19.
Panfil, Amanda R., Michael P. Martinez, Lee Ratner, & Patrick L. Green. (2016). Human T-cell leukemia virus-associated malignancy. Current Opinion in Virology. 20. 40–46. 31 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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