Johan Neyts

44.2k total citations · 5 hit papers
688 papers, 24.7k citations indexed

About

Johan Neyts is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Johan Neyts has authored 688 papers receiving a total of 24.7k indexed citations (citations by other indexed papers that have themselves been cited), including 342 papers in Infectious Diseases, 243 papers in Epidemiology and 168 papers in Molecular Biology. Recurrent topics in Johan Neyts's work include Viral Infections and Immunology Research (141 papers), Mosquito-borne diseases and control (122 papers) and HIV/AIDS drug development and treatment (109 papers). Johan Neyts is often cited by papers focused on Viral Infections and Immunology Research (141 papers), Mosquito-borne diseases and control (122 papers) and HIV/AIDS drug development and treatment (109 papers). Johan Neyts collaborates with scholars based in Belgium, France and United States. Johan Neyts's co-authors include Erik De Clercq, Pieter Leyssen, Leen Delang, Dirk Jochmans, Sandra Liekens, Kai Dallmeier, Jan Paeshuyse, Jan Balzarini, Dominique Schols and Yannick Debing and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and Circulation.

In The Last Decade

Johan Neyts

672 papers receiving 24.1k citations

Hit Papers

Angiogenesis: regulators and clinical applications 2001 2026 2009 2017 2001 2014 2020 2022 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johan Neyts Belgium 77 10.1k 6.6k 6.5k 3.7k 3.6k 688 24.7k
Michaël Otto United States 108 19.7k 2.0× 23.2k 3.5× 4.7k 0.7× 2.2k 0.6× 3.0k 0.8× 382 39.6k
Giorgio Palù Italy 70 5.3k 0.5× 6.1k 0.9× 6.5k 1.0× 803 0.2× 2.2k 0.6× 532 19.1k
Raymond F. Schinazi United States 75 11.1k 1.1× 7.3k 1.1× 7.0k 1.1× 6.3k 1.7× 998 0.3× 670 25.9k
Richard Kühn Germany 85 11.7k 1.2× 6.8k 1.0× 3.9k 0.6× 3.7k 1.0× 12.4k 3.4× 499 26.4k
Jan Balzarini Belgium 86 14.5k 1.4× 10.8k 1.6× 8.2k 1.3× 12.2k 3.4× 942 0.3× 872 33.4k
Shibo Jiang China 86 19.6k 1.9× 6.9k 1.1× 4.3k 0.7× 1.2k 0.3× 1.0k 0.3× 496 28.8k
Dominique Schols Belgium 77 7.5k 0.7× 7.1k 1.1× 3.8k 0.6× 3.9k 1.1× 1.1k 0.3× 560 23.8k
Pei‐Yong Shi United States 87 15.2k 1.5× 4.7k 0.7× 3.0k 0.5× 986 0.3× 14.1k 3.9× 377 24.8k
Bruno Canard France 69 9.0k 0.9× 5.4k 0.8× 2.4k 0.4× 434 0.1× 3.2k 0.9× 266 16.5k
Naoki Yamamoto Japan 81 5.5k 0.5× 9.9k 1.5× 5.1k 0.8× 1.4k 0.4× 990 0.3× 741 30.6k

Countries citing papers authored by Johan Neyts

Since Specialization
Citations

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

Fields of papers citing papers by Johan Neyts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Neyts

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Neyts. A scholar is included among the top collaborators of Johan Neyts 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 Johan Neyts. Johan Neyts 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.
Mansouri, Az‐eddine El, Mohamed Maatallah, Ahmad Mehdi, et al.. (2025). New 1,2,3-triazole-α-aminophosphonate acyclic nucleosides scaffold: Design, synthesis, docking studies and biological evaluation as potential S. aureus agents. Journal of Molecular Structure. 1352. 144537–144537.
2.
Horst, Sebastiaan ter, et al.. (2025). The Dissemination of Rift Valley Fever Virus to the Eye and Sensory Neurons of Zebrafish Larvae Is Stat1-Dependent. Viruses. 17(1). 87–87. 1 indexed citations
3.
Jing, Lanlan, Fabao Zhao, Lin Zheng, et al.. (2025). Optimization of SARS-CoV-2 Mpro Inhibitors by a Structure-Based Multilevel Virtual Screening Method. International Journal of Molecular Sciences. 26(2). 670–670.
5.
Selisko, Barbara, Véronique Fattorini, Géraldine Piorkowski, et al.. (2024). The effects of Remdesivir's functional groups on its antiviral potency and resistance against the SARS-CoV-2 polymerase. Antiviral Research. 232. 106034–106034. 3 indexed citations
7.
Khan, Mona, Birgit Weynand, Manon Laporte, et al.. (2024). A robust mouse model of HPIV-3 infection and efficacy of GS-441524 against virus-induced lung pathology. Nature Communications. 15(1). 7765–7765. 2 indexed citations
8.
Abdelnabi, Rana, Pieter Leyssen, Lana Langendries, et al.. (2023). Design, synthesis, and lead optimization of piperazinyl-pyrimidine analogues as potent small molecules targeting the viral capping machinery of Chikungunya virus. European Journal of Medicinal Chemistry. 264. 116010–116010. 2 indexed citations
9.
Jonghe, Steven De, Johan Neyts, Christophe Pannecouque, et al.. (2023). A new alkaloid from Pancratium maritimum - Structure elucidation using computer-assisted structure elucidation (CASE) and evaluation of cytotoxicity and anti-SARS-CoV-2 activity. Phytochemistry Letters. 58. 1–7. 4 indexed citations
10.
Milewska, Aleksandra, Thuc Nguyen Dan, Emilia Barreto-Durán, et al.. (2023). Anti-SARS-CoV-2 activity of cyanopeptolins produced by Nostoc edaphicum CCNP1411. Antiviral Research. 219. 105731–105731. 8 indexed citations
11.
12.
Dycke, Jana Van, Wenhao Dai, Jian Li, et al.. (2021). A Novel Class of Norovirus Inhibitors Targeting the Viral Protease with Potent Antiviral Activity In Vitro and In Vivo. Viruses. 13(9). 1852–1852. 17 indexed citations
13.
Bryden, Steven R., Marieke Pingen, Daniella Lefteri, et al.. (2020). Pan-viral protection against arboviruses by activating skin macrophages at the inoculation site. Science Translational Medicine. 12(527). 25 indexed citations
14.
Abdelnabi, Rana, Carmen Mirabelli, Justin W. Flatt, et al.. (2019). A novel druggable interprotomer pocket in the capsid of rhino- and enteroviruses. PLoS Biology. 17(6). e3000281–e3000281. 36 indexed citations
15.
Tardugno, Roberta, Tine De Burghgraeve, Leen Delang, et al.. (2018). Design, synthesis and evaluation against Chikungunya virus of novel small-molecule antiviral agents. Bioorganic & Medicinal Chemistry. 26(4). 869–874. 15 indexed citations
16.
Sayed, Ibrahim M., Lieven Verhoye, Laurence Cocquerel, et al.. (2016). Study of hepatitis E virus infection of genotype 1 and 3 in mice with humanised liver. Gut. 66(5). 920–929. 106 indexed citations
18.
Linden, Lonneke van der, Rachel Ulferts, Sander B. Nabuurs, et al.. (2014). Application of a cell-based protease assay for testing inhibitors of picornavirus 3C proteases. Antiviral Research. 103. 17–24. 18 indexed citations
19.
Rocha‐Pereira, Joana, Dirk Jochmans, & Johan Neyts. (2014). Prophylactic treatment with the nucleoside analogue 2'-C-methylcytidine completely prevents transmission of norovirus. Journal of Antimicrobial Chemotherapy. 70(1). 190–197. 30 indexed citations
20.
Clercq, Erik De & Johan Neyts. (2007). Avian influenza A (H5N1) infection: targets and strategies for chemotherapeutic intervention. Trends in Pharmacological Sciences. 28(6). 280–285. 56 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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