Benjamin C. Mollett

776 total citations · 1 hit paper
20 papers, 383 citations indexed

About

Benjamin C. Mollett is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Benjamin C. Mollett has authored 20 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 15 papers in Infectious Diseases and 10 papers in Agronomy and Crop Science. Recurrent topics in Benjamin C. Mollett's work include Influenza Virus Research Studies (14 papers), Animal Disease Management and Epidemiology (10 papers) and Viral gastroenteritis research and epidemiology (8 papers). Benjamin C. Mollett is often cited by papers focused on Influenza Virus Research Studies (14 papers), Animal Disease Management and Epidemiology (10 papers) and Viral gastroenteritis research and epidemiology (8 papers). Benjamin C. Mollett collaborates with scholars based in United Kingdom, United States and Switzerland. Benjamin C. Mollett's co-authors include Alexander M. P. Byrne, Ian H. Brown, Joe James, Ashley C. Banyard, Fabian Z. X. Lean, Sharon M. Brookes, Scott M. Reid, Alejandro Núñez, Marek J. Slomka and Sahar Mahmood and has published in prestigious journals such as Nature Communications, Journal of Virology and Emerging infectious diseases.

In The Last Decade

Benjamin C. Mollett

17 papers receiving 362 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.

Detection and spread of high pathogenicity avian influenza virus H5N1 in the Antarctic Region

2024 74 citations Ashley C. Banyard, Ashley Bennison et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin C. Mollett United Kingdom	11	291	234	158	63	30	20	383
Kosuke Okuya Japan	12	274 0.9×	255 1.1×	176 1.1×	57 0.9×	17 0.6×	42	433
Marjolein J. Poen Netherlands	10	264 0.9×	220 0.9×	175 1.1×	54 0.9×	22 0.7×	16	315
Bernardo Lozano-Dubernard United States	6	238 0.8×	156 0.7×	133 0.8×	51 0.8×	26 0.9×	10	330
Felipa Castro-Peralta United States	5	218 0.7×	143 0.6×	131 0.8×	51 0.8×	25 0.8×	9	311
Ivan M. Susloparov Russia	11	410 1.4×	291 1.2×	187 1.2×	33 0.5×	18 0.6×	34	436
Sahar Mahmood United Kingdom	12	295 1.0×	190 0.8×	198 1.3×	61 1.0×	21 0.7×	24	340
Laura K. Borkenhagen United States	9	221 0.8×	168 0.7×	154 1.0×	40 0.6×	36 1.2×	14	361
Srey Viseth Horm Cambodia	13	331 1.1×	227 1.0×	223 1.4×	31 0.5×	23 0.8×	19	397
Shintaro Shichinohe Japan	12	295 1.0×	165 0.7×	144 0.9×	33 0.5×	12 0.4×	22	363
Kimberly M. Edwards Hong Kong	6	250 0.9×	179 0.8×	96 0.6×	19 0.3×	35 1.2×	11	339

Countries citing papers authored by Benjamin C. Mollett

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin C. Mollett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin C. Mollett. 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 Benjamin C. Mollett. The network helps show where Benjamin C. Mollett may publish in the future.

Co-authorship network of co-authors of Benjamin C. Mollett

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

All Works

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20 of 20 papers shown

Byrne, Alexander M. P., Scott M. Reid, Benjamin C. Mollett, et al.. (2025). High pathogenicity avian influenza H5N1 clade 2.3.4.4b natural infection in captive Humboldt penguins ( Spheniscus humboldti ). Avian Pathology. 54(6). 701–711.

Diemen, Pauline M. van, Fabian Z. X. Lean, Benjamin C. Mollett, et al.. (2025). Evaluation of a nanoparticle influenza vaccine in the pig model. Vaccine. 49. 126844–126844.

Byrne, Alexander M. P., Benjamin C. Mollett, Ian H. Brown, et al.. (2025). Phylogenetic analysis of pigeon paramyxovirus type 1 detected in the British Isles between 1983 and 2023. Virus Evolution. 11(1). veaf075–veaf075.

Banyard, Ashley C., Benjamin C. Mollett, Cecilia Di Genova, et al.. (2025). Detection of clade 2.3.4.4b H5N1 high pathogenicity avian influenza virus in a sheep in Great Britain, 2025. Emerging Microbes & Infections. 14(1). 2547730–2547730. 1 indexed citations

Banyard, Ashley C., Ashley Bennison, Alexander M. P. Byrne, et al.. (2024). Detection and spread of high pathogenicity avian influenza virus H5N1 in the Antarctic Region. Nature Communications. 15(1). 7433–7433. 74 indexed citations breakdown →

Falchieri, Marco, Scott M. Reid, Benjamin C. Mollett, et al.. (2024). Rapid mortality in captive bush dogs ( Speothos venaticus ) caused by influenza A of avian origin (H5N1) at a wildlife collection in the United Kingdom. Emerging Microbes & Infections. 13(1). 2361792–2361792. 12 indexed citations

Alkie, Tamiru N., Alexander M. P. Byrne, Megan Jones, et al.. (2023). Recurring Trans-Atlantic Incursion of Clade 2.3.4.4b H5N1 Viruses by Long Distance Migratory Birds from Northern Europe to Canada in 2022/2023. Viruses. 15(9). 1836–1836. 16 indexed citations

Seekings, Amanda H., Caroline J. Warren, Saumya S. Thomas, et al.. (2023). Different Outcomes of Chicken Infection with UK-Origin H5N1-2020 and H5N8-2020 High-Pathogenicity Avian Influenza Viruses (Clade 2.3.4.4b). Viruses. 15(9). 1909–1909. 10 indexed citations

Mollett, Benjamin C., Helen Everett, Pauline M. van Diemen, et al.. (2023). JMM Profile: Swine influenza A virus: a neglected virus with pandemic potential. Journal of Medical Microbiology. 72(1). 1 indexed citations

10.

Byrne, Alexander M. P., Joe James, Benjamin C. Mollett, et al.. (2023). Investigating the Genetic Diversity of H5 Avian Influenza Viruses in the United Kingdom from 2020–2022. Microbiology Spectrum. 11(4). e0477622–e0477622. 27 indexed citations

11.

Lean, Fabian Z. X., Anne‐Laure Leblond, Alexander M. P. Byrne, et al.. (2022). Subclinical hepatitis E virus infection in laboratory ferrets in the UK. Journal of General Virology. 103(11). 6 indexed citations

12.

James, Joe, Alexander M. P. Byrne, Hooman Goharriz, et al.. (2022). Infectious droplet exposure is an inefficient route for SARS-CoV-2 infection in the ferret model. Journal of General Virology. 103(11). 7 indexed citations

13.

James, Joe, Sushant Bhat, Jean-Rémy Sadeyen, et al.. (2022). The Origin of Internal Genes Contributes to the Replication and Transmission Fitness of H7N9 Avian Influenza Virus. Journal of Virology. 96(22). e0129022–e0129022. 8 indexed citations

14.

Bhat, Sushant, Joe James, Jean-Rémy Sadeyen, et al.. (2022). Coinfection of Chickens with H9N2 and H7N9 Avian Influenza Viruses Leads to Emergence of Reassortant H9N9 Virus with Increased Fitness for Poultry and a Zoonotic Potential. Journal of Virology. 96(5). e0185621–e0185621. 34 indexed citations

15.

Floyd, T., Ashley C. Banyard, Fabian Z. X. Lean, et al.. (2021). Encephalitis and Death in Wild Mammals at a Rehabilitation Center after Infection with Highly Pathogenic Avian Influenza A(H5N8) Virus, United Kingdom. Emerging infectious diseases. 27(11). 2856–2863. 64 indexed citations

16.

Everett, Helen, Fabian Z. X. Lean, Alexander M. P. Byrne, et al.. (2021). Intranasal Infection of Ferrets with SARS-CoV-2 as a Model for Asymptomatic Human Infection. Viruses. 13(1). 113–113. 53 indexed citations

17.

Allen, David P., Chad M. Fuller, Benjamin C. Mollett, et al.. (2018). Development of an avian avulavirus 1 (AAvV-1) L-gene real-time RT-PCR assay using minor groove binding probes for application as a routine diagnostic tool. Journal of Virological Methods. 265. 9–14. 24 indexed citations

18.

Slomka, Marek J., Sahar Mahmood, Saumya S. Thomas, et al.. (2018). Ducks Are Susceptible to Infection with a Range of Doses of H5N8 Highly Pathogenic Avian Influenza Virus (2016, Clade 2.3.4.4b) and Are Largely Resistant to Virus-Specific Mortality, but Efficiently Transmit Infection to Contact Turkeys. Avian Diseases. 63(sp1). 172–172. 27 indexed citations

19.

Slomka, Marek J., Sahar Mahmood, Saumya S. Thomas, et al.. (2018). Ducks are susceptible to infection with a range of doses of H5N8 HPAIV (2016, clade 2.3.4.4b) and are largely resistant to virus-specific mortality, but efficiently transmit infection to contact turkeys. 2 indexed citations

20.

James, Joe, Marek J. Slomka, Scott M. Reid, et al.. (2018). Development and Application of Real-Time PCR Assays for Specific Detection of Contemporary Avian Influenza Virus Subtypes N5, N6, N7, N8, and N9. Avian Diseases. 63(sp1). 209–209. 17 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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