J. J. Patten

1.5k total citations · 1 hit paper
15 papers, 509 citations indexed

About

J. J. Patten is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, J. J. Patten has authored 15 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 6 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in J. J. Patten's work include Viral Infections and Outbreaks Research (9 papers), Viral Infections and Vectors (6 papers) and Hepatitis B Virus Studies (4 papers). J. J. Patten is often cited by papers focused on Viral Infections and Outbreaks Research (9 papers), Viral Infections and Vectors (6 papers) and Hepatitis B Virus Studies (4 papers). J. J. Patten collaborates with scholars based in United States, Türkiye and Canada. J. J. Patten's co-authors include Robert A. Davey, Asher Ameli, Joseph Loscalzo, Ítalo Faria do Valle, Onur Varol, Xiao Gan, Albert-Ĺaszló Barabási, Marinka Žitnik, Deisy Morselli Gysi and Susan Dina Ghiassian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Medicinal Chemistry.

In The Last Decade

J. J. Patten

14 papers receiving 498 citations

Hit Papers

align trajectories

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.

Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19

2020 330 citations Deisy Morselli Gysi, Ítalo Faria do Valle et al. PubMed Central profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. J. Patten United States	7	246	175	119	96	90	15	509
Aamir Mehmood China	14	298 1.2×	108 0.6×	90 0.8×	43 0.4×	63 0.7×	40	479
Lanju Zhang United States	14	233 0.9×	190 1.1×	38 0.3×	89 0.9×	105 1.2×	46	885
Jongsun Jung South Korea	12	413 1.7×	134 0.8×	69 0.6×	32 0.3×	84 0.9×	25	726
Jehad Aldahdooh Finland	7	395 1.6×	208 1.2×	33 0.3×	111 1.2×	35 0.4×	12	634
Yi-Yu Ke Taiwan	11	222 0.9×	141 0.8×	170 1.4×	47 0.5×	17 0.2×	15	521
Hanqing Xue China	3	242 1.0×	202 1.2×	63 0.5×	37 0.4×	21 0.2×	3	440
Alexander Mazein Luxembourg	13	636 2.6×	70 0.4×	44 0.4×	36 0.4×	34 0.4×	29	813
She Zhang United States	13	465 1.9×	68 0.4×	176 1.5×	43 0.4×	39 0.4×	21	769
Zina Itkin United States	11	188 0.8×	165 0.9×	190 1.6×	15 0.2×	22 0.2×	24	466
Mark Minie United States	6	246 1.0×	37 0.2×	129 1.1×	50 0.5×	293 3.3×	7	547

Countries citing papers authored by J. J. Patten

Since Specialization

Citations

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

Fields of papers citing papers by J. J. Patten

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. J. Patten

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

All Works

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15 of 15 papers shown

Carlson, Rebecca J., J. J. Patten, Brian Y. Soong, et al.. (2025). Single-cell image-based screens identify host regulators of Ebola virus infection dynamics. Nature Microbiology. 10(8). 1989–2002. 3 indexed citations

Zhang, Wenhan, Regina Cencic, J. J. Patten, et al.. (2024). Amidino-rocaglates (ADRs), a class of synthetic rocaglates, are potent inhibitors of SARS-CoV-2 replication through inhibition of viral protein synthesis. Antiviral Research. 230. 105976–105976. 2 indexed citations

Cooper, Laura, J. J. Patten, Norton P. Peet, et al.. (2024). N-Substituted Pyrrole-Based Heterocycles as Broad-Spectrum Filoviral Entry Inhibitors. Journal of Medicinal Chemistry. 67(16). 13737–13764.

Xu, Duo, Abigail E. Powell, Mrinmoy Sanyal, et al.. (2024). Design of universal Ebola virus vaccine candidates via immunofocusing. Proceedings of the National Academy of Sciences. 121(7). e2316960121–e2316960121. 6 indexed citations

Bird, Gregory H., J. J. Patten, William J. Zavadoski, et al.. (2024). A stapled lipopeptide platform for preventing and treating highly pathogenic viruses of pandemic potential. Nature Communications. 15(1). 274–274. 9 indexed citations

Aguilar-Briseño, José A., J. J. Patten, L. R. Wilson, et al.. (2023). Effect of Interferon Gamma on Ebola Virus Infection of Primary Kupffer Cells and a Kupffer Cell Line. Viruses. 15(10). 2077–2077. 3 indexed citations

Zou, Charles, Hojong Yoon, Paul M.C. Park, et al.. (2023). The human E3 ligase RNF185 is a regulator of the SARS-CoV-2 envelope protein. iScience. 26(5). 106601–106601. 5 indexed citations

Słabicki, Mikołaj, J. J. Patten, Charles Zou, et al.. (2022). Anti‐SARS‐CoV‐2 activity of targeted kinase inhibitors: Repurposing clinically available drugs for COVID‐19 therapy. Journal of Medical Virology. 95(1). e28157–e28157. 18 indexed citations

Anantpadma, Manu, et al.. (2022). Ligand-based design of peptide entry inhibitors targeting the endosomal receptor binding site of filoviruses. Antiviral Research. 206. 105399–105399. 2 indexed citations

10.

Demarest, James F., Mary Ayres, Eun‐Jung Kim, et al.. (2022). Brequinar and dipyridamole in combination exhibits synergistic antiviral activity against SARS-CoV-2 in vitro: Rationale for a host-acting antiviral treatment strategy for COVID-19. Antiviral Research. 206. 105403–105403. 12 indexed citations

11.

Gourronc, Françoise A., Michael R. Rebagliati, J. J. Patten, et al.. (2022). Adipocytes are susceptible to Ebola Virus infection. Virology. 573. 12–22. 7 indexed citations

12.

Gaudiano, Emily F., et al.. (2022). Inactivation of Ebola Virus and SARS-CoV-2 in Cell Culture Supernatants and Cell Pellets by Gamma Irradiation. Viruses. 15(1). 43–43. 3 indexed citations

13.

Palermo, Nicholas Y., et al.. (2021). Identification of filovirus entry inhibitors targeting the endosomal receptor NPC1 binding site. Antiviral Research. 189. 105059–105059. 4 indexed citations

14.

Westcott, Peter M.K., Jason M. Schenkel, Zackery A. Ely, et al.. (2021). Low neoantigen expression and poor T-cell priming underlie early immune escape in colorectal cancer. Nature Cancer. 2(10). 1071–1085. 105 indexed citations

15.

Gysi, Deisy Morselli, Ítalo Faria do Valle, Marinka Žitnik, et al.. (2020). Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19. PubMed Central. 330 indexed citations breakdown →

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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