Daniel W. Madden

1.4k total citations · 1 hit paper
14 papers, 869 citations indexed

About

Daniel W. Madden is a scholar working on Ecology, Evolution, Behavior and Systematics, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel W. Madden has authored 14 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, Evolution, Behavior and Systematics, 6 papers in Infectious Diseases and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel W. Madden's work include Vector-Borne Animal Diseases (7 papers), Viral Infections and Immunology Research (6 papers) and Animal Disease Management and Epidemiology (6 papers). Daniel W. Madden is often cited by papers focused on Vector-Borne Animal Diseases (7 papers), Viral Infections and Immunology Research (6 papers) and Animal Disease Management and Epidemiology (6 papers). Daniel W. Madden collaborates with scholars based in United States, Spain and Austria. Daniel W. Madden's co-authors include Jüergen A. Richt, Natasha N. Gaudreault, Jessie D. Trujillo, William C. Wilson, Igor Morozov, Wenjun Ma, Taeyong Kwon, Dashzeveg Bold, Velmurugan Balaraman and David A. Meekins and has published in prestigious journals such as SHILAP Revista de lepidopterología, Viruses and Veterinary Immunology and Immunopathology.

In The Last Decade

Daniel W. Madden

12 papers receiving 856 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.

African Swine Fever Virus: An Emerging DNA Arbovirus

2020 301 citations Natasha N. Gaudreault, Daniel W. Madden et al. Frontiers in Veterinary Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel W. Madden United States	9	545	421	346	254	210	14	869
Ana M. M. Stoian United States	14	301 0.6×	320 0.8×	220 0.6×	175 0.7×	139 0.7×	19	656
David Solanes Spain	13	355 0.7×	202 0.5×	193 0.6×	112 0.4×	55 0.3×	17	582
J. Grom Slovenia	15	214 0.4×	217 0.5×	145 0.4×	183 0.7×	126 0.6×	34	519
Sun-Young Sunwoo United States	15	348 0.6×	269 0.6×	252 0.7×	113 0.4×	105 0.5×	30	565
B. Veronica Carr United Kingdom	16	294 0.5×	486 1.2×	357 1.0×	89 0.4×	150 0.7×	26	723
Ra Mi South Korea	15	253 0.5×	234 0.6×	78 0.2×	239 0.9×	142 0.7×	36	534
Mathias Martins United States	16	467 0.9×	100 0.2×	72 0.2×	308 1.2×	51 0.2×	38	733
Beng Hooi Chua Australia	6	518 1.0×	122 0.3×	93 0.3×	68 0.3×	170 0.8×	8	674
Eoin Ryan Ireland	14	168 0.3×	485 1.2×	334 1.0×	34 0.1×	318 1.5×	38	688
Begoña Valdazo‐González United Kingdom	17	187 0.3×	579 1.4×	485 1.4×	72 0.3×	516 2.5×	21	742

Countries citing papers authored by Daniel W. Madden

Since Specialization

Citations

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

Fields of papers citing papers by Daniel W. Madden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. Madden. 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 Daniel W. Madden. The network helps show where Daniel W. Madden may publish in the future.

Co-authorship network of co-authors of Daniel W. Madden

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

All Works

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14 of 14 papers shown

Artiaga, Bianca L., Daniel W. Madden, Taeyong Kwon, et al.. (2024). Adjuvant Use of the Invariant-Natural-Killer-T-Cell Agonist α-Galactosylceramide Leads to Vaccine-Associated Enhanced Respiratory Disease in Influenza-Vaccinated Pigs. Vaccines. 12(9). 1068–1068.

Pérez-Núñez, Daniel, Daniel W. Madden, David A. Meekins, et al.. (2024). Generation and Genetic Stability of a PolX and 5′ MGF-Deficient African Swine Fever Virus Mutant for Vaccine Development. Vaccines. 12(10). 1125–1125.

McDowell, Chester D., Dashzeveg Bold, Jessie D. Trujillo, et al.. (2022). Experimental Infection of Domestic Pigs with African Swine Fever Virus Isolated in 2019 in Mongolia. Viruses. 14(12). 2698–2698. 8 indexed citations

Gaudreault, Natasha N., Konner Cool, Jessie D. Trujillo, et al.. (2022). Susceptibility of sheep to experimental co-infection with the ancestral lineage of SARS-CoV-2 and its alpha variant. Emerging Microbes & Infections. 11(1). 662–675. 23 indexed citations

Madden, Daniel W., Sun-Young Sunwoo, Natasha N. Gaudreault, et al.. (2022). Development of a chromatographic lateral flow immunoassay for detection of African swine fever virus antigen in blood. SHILAP Revista de lepidopterología. 2(1). 3 indexed citations

Cool, Konner, Natasha N. Gaudreault, Igor Morozov, et al.. (2021). Infection and transmission of ancestral SARS-CoV-2 and its alpha variant in pregnant white-tailed deer. Emerging Microbes & Infections. 11(1). 95–112. 60 indexed citations

Allen, Holley, et al.. (2021). Unmasking of Addison’s disease in COVID-19. SHILAP Revista de lepidopterología. 9. 2050313X211027758–2050313X211027758. 8 indexed citations

Gaudreault, Natasha N., Mariano Carossino, Igor Morozov, et al.. (2021). Experimental re-infected cats do not transmit SARS-CoV-2. Emerging Microbes & Infections. 10(1). 638–650. 39 indexed citations

Gaudreault, Natasha N., Daniel W. Madden, William C. Wilson, Jessie D. Trujillo, & Jüergen A. Richt. (2020). African Swine Fever Virus: An Emerging DNA Arbovirus. Frontiers in Veterinary Science. 7. 215–215. 301 indexed citations breakdown →

10.

Meekins, David A., Igor Morozov, Jessie D. Trujillo, et al.. (2020). Susceptibility of swine cells and domestic pigs to SARS-CoV-2. Emerging Microbes & Infections. 9(1). 2278–2288. 70 indexed citations

11.

Gaudreault, Natasha N., Jessie D. Trujillo, Mariano Carossino, et al.. (2020). SARS-CoV-2 infection, disease and transmission in domestic cats. Emerging Microbes & Infections. 9(1). 2322–2332. 189 indexed citations

12.

Sunwoo, Sun-Young, Daniel Pérez-Núñez, Igor Morozov, et al.. (2019). DNA-Protein Vaccination Strategy Does Not Protect from Challenge with African Swine Fever Virus Armenia 2007 Strain. Vaccines. 7(1). 12–12. 98 indexed citations

13.

Pérez-Núñez, Daniel, Sun-Young Sunwoo, Elena G. Sánchez, et al.. (2018). Evaluation of a viral DNA-protein immunization strategy against African swine fever in domestic pigs. Veterinary Immunology and Immunopathology. 208. 34–43. 39 indexed citations

14.

Faburay, Bonto, William C. Wilson, D. Scott McVey, et al.. (2013). Rift Valley Fever Virus Structural and Nonstructural Proteins: Recombinant Protein Expression and Immunoreactivity Against Antisera from Sheep. Vector-Borne and Zoonotic Diseases. 13(9). 619–629. 31 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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