David J. Topham

15.2k total citations · 1 hit paper
180 papers, 10.9k citations indexed

About

David J. Topham is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, David J. Topham has authored 180 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Immunology, 94 papers in Epidemiology and 34 papers in Molecular Biology. Recurrent topics in David J. Topham's work include Influenza Virus Research Studies (70 papers), Immune Cell Function and Interaction (59 papers) and Respiratory viral infections research (52 papers). David J. Topham is often cited by papers focused on Influenza Virus Research Studies (70 papers), Immune Cell Function and Interaction (59 papers) and Respiratory viral infections research (52 papers). David J. Topham collaborates with scholars based in United States, Spain and Japan. David J. Topham's co-authors include Peter C. Doherty, Ralph A. Tripp, James N. Ihle, Luis Martínez‐Sobrido, Demin Wang, Mark Y. Sangster, Evan Parganas, Jean‐Christophe Marine, Aitor Nogales and Marta L. DeDiego and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

David J. Topham

180 papers receiving 10.7k citations

Hit Papers

align trajectories sort by overperformance

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.

Jak2 Is Essential for Signaling through a Variety of Cytokine Receptors

1998 882 citations David J. Topham et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David J. Topham United States	54	6.0k	3.7k	2.4k	2.3k	1.4k	180	10.9k
Rui Sun China	63	8.4k 1.4×	3.0k 0.8×	3.0k 1.3×	3.4k 1.5×	1.3k 0.9×	266	14.5k
Francesco Dieli Italy	55	6.5k 1.1×	1.6k 0.4×	2.7k 1.1×	3.5k 1.5×	1.7k 1.2×	274	11.6k
Sergio Abrignani Italy	60	4.7k 0.8×	4.6k 1.2×	2.6k 1.1×	996 0.4×	1.2k 0.8×	175	12.7k
Anne Kelso Australia	54	5.5k 0.9×	2.5k 0.7×	2.2k 0.9×	1.4k 0.6×	756 0.5×	165	9.4k
Moon H. Nahm United States	62	4.1k 0.7×	7.4k 2.0×	2.5k 1.0×	831 0.4×	938 0.7×	280	13.7k
Filippo Belardelli Italy	61	10.0k 1.7×	1.8k 0.5×	3.1k 1.3×	4.4k 1.9×	1.3k 0.9×	258	14.9k
Christian P. Larsen United States	75	13.1k 2.2×	3.1k 0.8×	2.5k 1.1×	2.6k 1.1×	1.1k 0.8×	289	22.3k
Paul G. Thomas United States	61	7.8k 1.3×	4.4k 1.2×	4.6k 1.9×	1.9k 0.8×	2.2k 1.6×	240	14.0k
Craig N. Jenne Canada	40	5.0k 0.8×	1.9k 0.5×	2.4k 1.0×	864 0.4×	784 0.6×	89	9.2k
Tyler J. Curiel United States	52	6.3k 1.0×	1.4k 0.4×	3.0k 1.2×	4.8k 2.0×	538 0.4×	196	11.9k

Countries citing papers authored by David J. Topham

Since Specialization

Citations

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

Fields of papers citing papers by David J. Topham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Topham. 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 David J. Topham. The network helps show where David J. Topham may publish in the future.

Co-authorship network of co-authors of David J. Topham

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Topham. A scholar is included among the top collaborators of David J. Topham 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 David J. Topham. David J. Topham 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

Richards, Katherine A., Florian Krammer, Francisco A. Chaves, et al.. (2022). The Negative Effect of Preexisting Immunity on Influenza Vaccine Responses Transcends the Impact of Vaccine Formulation Type and Vaccination History. The Journal of Infectious Diseases. 227(3). 381–390. 14 indexed citations

McCall, Matthew N., Chin‐Yi Chu, Juilee Thakar, et al.. (2021). A systems genomics approach uncovers molecular associates of RSV severity. PLoS Computational Biology. 17(12). e1009617–e1009617. 6 indexed citations

Nguyen‐Contant, Phuong, Mark Y. Sangster, & David J. Topham. (2021). Squalene-Based Influenza Vaccine Adjuvants and Their Impact on the Hemagglutinin-Specific B Cell Response. Pathogens. 10(3). 355–355. 36 indexed citations

Reilly, Emma C., Nick Reilly, Ian Smith, et al.. (2020). T _RM integrins CD103 and CD49a differentially support adherence and motility after resolution of influenza virus infection. Proceedings of the National Academy of Sciences. 117(22). 12306–12314. 88 indexed citations

Grier, Alex, Ann Gill, Anthony Corbett, et al.. (2020). Temporal Dysbiosis of Infant Nasal Microbiota Relative to Respiratory Syncytial Virus Infection. The Journal of Infectious Diseases. 223(9). 1650–1658. 17 indexed citations

Alon, R., et al.. (2020). Leukocyte trafficking to the lungs and beyond: lessons from influenza for COVID-19. Nature reviews. Immunology. 21(1). 49–64. 130 indexed citations

Steeg, Landon G. vom, Santosh Dhakal, Han-Sol Park, et al.. (2020). Androgen receptor signaling in the lungs mitigates inflammation and improves the outcome of influenza in mice. PLoS Pathogens. 16(7). e1008506–e1008506. 36 indexed citations

Walsh, Edward E., Thomas J. Mariani, Chin‐Yi Chu, et al.. (2019). Aims, Study Design, and Enrollment Results From the Assessing Predictors of Infant Respiratory Syncytial Virus Effects and Severity Study. JMIR Research Protocols. 8(6). e12907–e12907. 7 indexed citations

Henry, Carole, Anna-Karin E. Palm, Henry A. Utset, et al.. (2019). Monoclonal Antibody Responses after Recombinant Hemagglutinin Vaccine versus Subunit Inactivated Influenza Virus Vaccine: a Comparative Study. Journal of Virology. 93(21). 18 indexed citations

10.

Topham, David J., Phuong Nguyen‐Contant, & Mark Y. Sangster. (2018). Pandemic influenza vaccines: what they have taught us about B cell immunology. Current Opinion in Immunology. 53. 203–208. 5 indexed citations

11.

Nogales, Aitor, Marta L. DeDiego, David J. Topham, et al.. (2017). The K186E Amino Acid Substitution in the Canine Influenza Virus H3N8 NS1 Protein Restores Its Ability To Inhibit Host Gene Expression. Journal of Virology. 91(22). 27 indexed citations

12.

Bhattacharya, Soumyaroop, Alex Rosenberg, Derick R. Peterson, et al.. (2017). Transcriptomic Biomarkers to Discriminate Bacterial from Nonbacterial Infection in Adults Hospitalized with Respiratory Illness. Scientific Reports. 7(1). 6548–6548. 48 indexed citations

13.

Nogales, Aitor, Laura Rodríguez, Kai Huang, et al.. (2016). Temperature-Sensitive Live-Attenuated Canine Influenza Virus H3N8 Vaccine. Journal of Virology. 91(4). 25 indexed citations

14.

Hyun, Young‐Min, Emma C. Reilly, Scott A. Gerber, et al.. (2016). Live Imaging of Influenza Infection of the Trachea Reveals Dynamic Regulation of CD8+ T Cell Motility by Antigen. PLoS Pathogens. 12(9). e1005881–e1005881. 27 indexed citations

15.

Lim, Kihong, Young‐Min Hyun, Tara Capece, et al.. (2015). Neutrophil trails guide influenza-specific CD8 ⁺ T cells in the airways. Science. 349(6252). aaa4352–aaa4352. 292 indexed citations

16.

Lee, Alexandra, Suman R. Das, Wei Wang, et al.. (2015). Diversifying Selection Analysis Predicts Antigenic Evolution of 2009 Pandemic H1N1 Influenza A Virus in Humans. Journal of Virology. 89(10). 5427–5440. 19 indexed citations

17.

He, Xiaosong, Sanae Sasaki, Surender Khurana, et al.. (2012). Heterovariant Cross-Reactive B-Cell Responses Induced by the 2009 Pandemic Influenza Virus A Subtype H1N1 Vaccine. The Journal of Infectious Diseases. 207(2). 288–296. 17 indexed citations

18.

Chapman, Lesley M., Angela Aggrey, David Field, et al.. (2012). Platelets Present Antigen in the Context of MHC Class I. The Journal of Immunology. 189(2). 916–923. 165 indexed citations

19.

Sangster, Mark Y., et al.. (2003). An Early CD4+ T Cell–dependent Immunoglobulin A Response to Influenza Infection in the Absence of Key Cognate T–B Interactions. The Journal of Experimental Medicine. 198(7). 1011–1021. 89 indexed citations

20.

Ewing, Christine, David J. Topham, & Peter C. Doherty. (1995). Prevalence and Activation Phenotype of Sendai Virus-Specific CD4+ T Cells. Virology. 210(1). 179–185. 27 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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