Charles Nfon

2.3k total citations
72 papers, 1.7k citations indexed

About

Charles Nfon is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Charles Nfon has authored 72 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Agronomy and Crop Science, 36 papers in Cardiology and Cardiovascular Medicine and 33 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Charles Nfon's work include Animal Disease Management and Epidemiology (47 papers), Viral Infections and Immunology Research (36 papers) and Vector-Borne Animal Diseases (33 papers). Charles Nfon is often cited by papers focused on Animal Disease Management and Epidemiology (47 papers), Viral Infections and Immunology Research (36 papers) and Vector-Borne Animal Diseases (33 papers). Charles Nfon collaborates with scholars based in Canada, United States and United Kingdom. Charles Nfon's co-authors include Vincent N. Tanya, Hana M. Weingartl, William T. Golde, Felix N. Toka, Kenton L. Morgan, Mark Bronsvoort, Carissa Embury‐Hyatt, Leo M. Njongmeta, A. J. Trees and Benjamin L. Makepeace and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Virology.

In The Last Decade

Charles Nfon

66 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Nfon Canada 27 787 780 580 484 291 72 1.7k
Helen Clare Roberts United Kingdom 16 729 0.9× 468 0.6× 579 1.0× 267 0.6× 179 0.6× 70 1.3k
Marie‐Frédérique Le Potier France 25 1.1k 1.4× 597 0.8× 797 1.4× 552 1.1× 136 0.5× 55 1.8k
Vittorio Gubertì Italy 25 1.4k 1.7× 696 0.9× 928 1.6× 442 0.9× 366 1.3× 64 2.0k
Aruna Ambagala Canada 22 601 0.8× 331 0.4× 415 0.7× 309 0.6× 403 1.4× 81 1.4k
Alfonso Clavijo Canada 26 1.4k 1.8× 696 0.9× 974 1.7× 807 1.7× 484 1.7× 90 2.2k
Karl Ståhl Sweden 29 1.8k 2.3× 801 1.0× 1.5k 2.6× 672 1.4× 263 0.9× 79 2.3k
Maria Teresa Scicluna Italy 19 807 1.0× 823 1.1× 700 1.2× 174 0.4× 229 0.8× 64 1.5k
Gary A. Anderson United States 20 757 1.0× 692 0.9× 265 0.5× 194 0.4× 567 1.9× 76 1.6k
Livio Heath South Africa 18 1.4k 1.8× 535 0.7× 1.2k 2.1× 889 1.8× 156 0.5× 58 2.0k
Llilianne Ganges Spain 28 1.3k 1.6× 589 0.8× 563 1.0× 919 1.9× 179 0.6× 84 1.9k

Countries citing papers authored by Charles Nfon

Since Specialization
Citations

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

Fields of papers citing papers by Charles Nfon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Nfon

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Nfon. A scholar is included among the top collaborators of Charles Nfon 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 Charles Nfon. Charles Nfon 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.
Goonewardene, Kalhari, et al.. (2024). Oral Fluids for the Early Detection of Classical Swine Fever in Commercial Level Pig Pens. Viruses. 16(3). 318–318. 1 indexed citations
2.
Alkie, Tamiru N., Neda Nasheri, Jay Krishnan, et al.. (2024). Effectiveness of pasteurization for the inactivation of H5N1 influenza virus in raw whole milk. Food Microbiology. 125. 104653–104653. 18 indexed citations
3.
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5.
Bronsvoort, Mark, Robert Kelly, Rebecca Callaby, et al.. (2022). A Cross-Sectional, Population-Based, Seroepidemiological Study of Rift Valley Fever in Cameroonian Cattle Populations. Frontiers in Veterinary Science. 9. 897481–897481. 7 indexed citations
6.
7.
Onyilagha, Chukwunonso, Peter Marszal, Mathieu Pinette, et al.. (2021). Evaluation of mobile real-time polymerase chain reaction tests for the detection of severe acute respiratory syndrome coronavirus 2. Scientific Reports. 11(1). 9387–9387. 4 indexed citations
8.
Yang, Ming, et al.. (2020). Development of two rapid lateral flow test strips for detection of foot-and-mouth disease virus SAT 1 and SAT 3. Journal of Virological Methods. 291. 113967–113967. 5 indexed citations
9.
Hole, Kate, et al.. (2019). Vesicular disease in pigs inoculated with a recent Canadian isolate of Senecavirus A.. Europe PMC (PubMed Central). 83(4). 242–247. 13 indexed citations
10.
Zhang, Jianqiang, Charles Nfon, Qi Chen, et al.. (2019). Development and evaluation of a real-time RT-PCR and a field-deployable RT-insulated isothermal PCR for the detection of Seneca Valley virus. BMC Veterinary Research. 15(1). 168–168. 20 indexed citations
11.
Horsington, Jacquelyn, Charles Nfon, Peter A. Durr, et al.. (2018). The protective capacity of high payload FMDV A22 IRQ vaccine in sheep against direct-contact challenge with a heterologous, contemporary FMDV A strain from South East Asia. PLoS ONE. 13(6). e0195302–e0195302. 4 indexed citations
12.
Goolia, Melissa, Fábio A. Vannucci, Ming Yang, et al.. (2017). Validation of a competitive ELISA and a virus neutralization test for the detection and confirmation of antibodies to Senecavirus A in swine sera. Journal of Veterinary Diagnostic Investigation. 29(2). 250–253. 30 indexed citations
13.
Bronsvoort, Mark, Ian Handel, Charles Nfon, et al.. (2016). Redefining the “carrier” state for foot-and-mouth disease from the dynamics of virus persistence in endemically affected cattle populations. Scientific Reports. 6(1). 29059–29059. 25 indexed citations
14.
Weingartl, Hana M., et al.. (2013). Review of Ebola Virus Infections in Domestic Animals. PubMed. 135. 211–218. 36 indexed citations
15.
Nfon, Charles, Yohannes Berhane, John Pasick, et al.. (2012). Prior infection of chickens with H1N1 avian influenza virus elicits heterologous protection against highly pathogenic H5N2. Vaccine. 30(50). 7187–7192. 9 indexed citations
16.
Nfon, Charles, Felix N. Toka, Mary Kenney, Juan M. Pacheco, & William T. Golde. (2010). Loss of Plasmacytoid Dendritic Cell Function Coincides with Lymphopenia and Viremia During Foot-and-Mouth Disease Virus Infection. Viral Immunology. 23(1). 29–41. 43 indexed citations
17.
Golde, William T., Charles Nfon, & Felix N. Toka. (2008). Immune evasion during foot‐and‐mouth disease virus infection of swine. Immunological Reviews. 225(1). 85–95. 29 indexed citations
18.
Nfon, Charles, et al.. (2008). Interferon-α Production by Swine Dendritic Cells Is Inhibited During Acute Infection with Foot-and-Mouth Disease Virus. Viral Immunology. 21(1). 68–77. 44 indexed citations
19.
Nfon, Charles, Harry Dawson, Felix N. Toka, & William T. Golde. (2008). Langerhans cells in porcine skin. Veterinary Immunology and Immunopathology. 126(3-4). 236–247. 25 indexed citations
20.
Bautista, Elida M., et al.. (2006). IL-13 replaces IL-4 in development of monocyte derived dendritic cells (MoDC) of swine. Veterinary Immunology and Immunopathology. 115(1-2). 56–67. 29 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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Rankless by CCL
2026