Slobodan Paessler

6.1k total citations · 1 hit paper
122 papers, 3.9k citations indexed

About

Slobodan Paessler is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Slobodan Paessler has authored 122 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Infectious Diseases, 25 papers in Epidemiology and 24 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Slobodan Paessler's work include Viral Infections and Outbreaks Research (61 papers), Viral Infections and Vectors (58 papers) and Viral gastroenteritis research and epidemiology (28 papers). Slobodan Paessler is often cited by papers focused on Viral Infections and Outbreaks Research (61 papers), Viral Infections and Vectors (58 papers) and Viral gastroenteritis research and epidemiology (28 papers). Slobodan Paessler collaborates with scholars based in United States, Serbia and Nigeria. Slobodan Paessler's co-authors include Cheng Huang, David H. Walker, Junki Maruyama, Nadezhda E. Yun, Natalya Bukreyeva, Emily Mantlo, Scott C. Weaver, Alexey Seregin, Takaaki Koma and Jeanon N. Smith and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Slobodan Paessler

118 papers receiving 3.8k citations

Hit Papers

Characterization of a Nov... 2016 2026 2019 2022 2016 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Slobodan Paessler 2.7k 1.2k 793 580 544 122 3.9k
Vivek R. Nerurkar 1.5k 0.6× 1.4k 1.2× 575 0.7× 656 1.1× 788 1.4× 152 4.2k
Hinh Ly 1.8k 0.6× 328 0.3× 955 1.2× 1.4k 2.4× 947 1.7× 100 4.2k
Atsushi Okumura 2.9k 1.1× 290 0.3× 855 1.1× 714 1.2× 1.0k 1.9× 98 5.2k
David A. Stein 1.8k 0.7× 723 0.6× 823 1.0× 2.2k 3.8× 704 1.3× 91 5.0k
Theodore E. Nash 1.8k 0.7× 486 0.4× 639 0.8× 791 1.4× 202 0.4× 153 7.5k
Cheng Huang 2.5k 0.9× 186 0.2× 280 0.4× 724 1.2× 532 1.0× 52 3.2k
Amy G. Hise 1.2k 0.4× 411 0.4× 742 0.9× 1.1k 1.9× 1.3k 2.5× 41 3.5k
Penghua Wang 2.4k 0.9× 2.5k 2.2× 565 0.7× 1.3k 2.2× 1.5k 2.7× 103 5.7k
Mohan S. Maddur 595 0.2× 282 0.2× 483 0.6× 950 1.6× 1.4k 2.6× 69 3.5k

Countries citing papers authored by Slobodan Paessler

Since Specialization
Citations

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

Fields of papers citing papers by Slobodan Paessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Slobodan Paessler

This figure shows the co-authorship network connecting the top 25 collaborators of Slobodan Paessler. A scholar is included among the top collaborators of Slobodan Paessler 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 Slobodan Paessler. Slobodan Paessler 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.
Reed, Nicholas S., Carmen C. Brewer, Patricia Fast, et al.. (2024). Report of a SPEAC webinar 22 september 2023: Sensorineural hearing loss, lassa virus disease and vaccines. Vaccine. 43(Pt 1). 126525–126525. 1 indexed citations
2.
Perović, Vladimir, Natalya Bukreyeva, Slobodan Paessler, et al.. (2024). Exploring the Antiviral Potential of Natural Compounds against Influenza: A Combined Computational and Experimental Approach. International Journal of Molecular Sciences. 25(9). 4911–4911. 3 indexed citations
4.
Peng, Bi‐Hung, et al.. (2024). Arbovirus infection increases the risk for the development of neurodegenerative disease pathology in the murine model. Brain Behavior & Immunity - Health. 38. 100780–100780. 5 indexed citations
5.
Taniguchi, Satoshi, Junki Maruyama, Takeshi Saito, et al.. (2024). Development of reverse genetics system for Guanarito virus: substitution of E1497K in the L protein of Guanarito virus S-26764 strain changes plaque phenotype and growth kinetics. Journal of Virology. 98(2). e0196423–e0196423. 1 indexed citations
6.
Tamura, Atsushi, Nadezhda E. Yun, Takaaki Koma, et al.. (2024). Pathological Insights into Lassa Virus-Induced Vestibular Dysfunction in Mice: Histopathological Analysis of the Inner Ear Vestibular Apparatus. The Journal of Infectious Diseases. 231(4). 1074–1078.
7.
Senćanski, Milan, Olivera Prodanović, Vladimir Perović, et al.. (2023). In Silico and In Vitro Inhibition of SARS-CoV-2 PLpro with Gramicidin D. International Journal of Molecular Sciences. 24(3). 1955–1955. 4 indexed citations
8.
Kimura, Miyuki, Satoshi Taniguchi, Junki Maruyama, et al.. (2023). Inhibitors of cannabinoid receptor 1 suppress the cellular entry of Lujo virus. Virology. 587. 109867–109867. 2 indexed citations
9.
Perović, Vladimir, et al.. (2023). Novel Entropy-Based Phylogenetic Algorithm: A New Approach for Classifying SARS-CoV-2 Variants. Entropy. 25(10). 1463–1463.
10.
Saito, Takeshi, et al.. (2023). Vaccine Candidates against Arenavirus Infections. Vaccines. 11(3). 635–635. 10 indexed citations
11.
Senćanski, Milan, Vladimir Perović, Tamara R. Todorović, et al.. (2022). Identification of SARS‐CoV‐2 Papain‐like Protease (PLpro) Inhibitors Using Combined Computational Approach**. ChemistryOpen. 11(2). e202100248–e202100248. 18 indexed citations
12.
Bui, Duc‐Cuong, et al.. (2022). Ehrlichia SLiM Ligand Mimetic Activates Notch Signaling in Human Monocytes. mBio. 13(2). e0007622–e0007622. 10 indexed citations
13.
Mantlo, Emily, Junki Maruyama, John T. Manning, et al.. (2022). Machupo Virus with Mutations in the Transmembrane Domain and Glycosylation Sites of the Glycoprotein Is Attenuated and Immunogenic in Animal Models of Bolivian Hemorrhagic Fever. Journal of Virology. 96(8). e0020922–e0020922. 5 indexed citations
14.
Mantlo, Emily, et al.. (2021). Luminore CopperTouch Surface Coating Effectively Inactivates SARS-CoV-2, Ebola Virus, and Marburg Virus In Vitro. Antimicrobial Agents and Chemotherapy. 65(7). e0139020–e0139020. 18 indexed citations
15.
Koma, Takaaki, Cheng Huang, Adrian Coscia, et al.. (2021). Glycoprotein N-linked glycans play a critical role in arenavirus pathogenicity. PLoS Pathogens. 17(3). e1009356–e1009356. 16 indexed citations
16.
Mantlo, Emily, Natalya Bukreyeva, Junki Maruyama, Slobodan Paessler, & Cheng Huang. (2020). Antiviral activities of type I interferons to SARS-CoV-2 infection. Antiviral Research. 179. 104811–104811. 300 indexed citations
17.
Manning, John T., Junki Maruyama, Alexey Seregin, et al.. (2020). A single mutation (V64G) within the RING Domain of Z attenuates Junin virus. PLoS neglected tropical diseases. 14(9). e0008555–e0008555. 8 indexed citations
18.
Amanat, Fatima, James Duehr, Cheng Huang, et al.. (2019). Monoclonal Antibodies with Neutralizing Activity and Fc-Effector Functions against the Machupo Virus Glycoprotein. Journal of Virology. 94(5). 20 indexed citations
19.
Koma, Takaaki, Veljko Veljković, Danielle E. Anderson, et al.. (2018). Zika virus infection elicits auto-antibodies to C1q. Scientific Reports. 8(1). 1882–1882. 17 indexed citations
20.
Hyde, Jennifer, Christina L. Gardner, Taishi Kimura, et al.. (2014). A Viral RNA Structural Element Alters Host Recognition of Nonself RNA. Science. 343(6172). 783–787. 130 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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