Justin Bahl

9.1k total citations · 1 hit paper
77 papers, 5.8k citations indexed

About

Justin Bahl is a scholar working on Epidemiology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Justin Bahl has authored 77 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Epidemiology, 36 papers in Agronomy and Crop Science and 29 papers in Infectious Diseases. Recurrent topics in Justin Bahl's work include Influenza Virus Research Studies (52 papers), Animal Disease Management and Epidemiology (36 papers) and Respiratory viral infections research (24 papers). Justin Bahl is often cited by papers focused on Influenza Virus Research Studies (52 papers), Animal Disease Management and Epidemiology (36 papers) and Respiratory viral infections research (24 papers). Justin Bahl collaborates with scholars based in United States, Singapore and Hong Kong. Justin Bahl's co-authors include Gavin J. D. Smith, Dhanasekaran Vijaykrishna, Yi Guan, Malik Peiris, Y. M. Cheung, Oliver G. Pybus, Samir Bhatt, Andrew Rambaut, Samantha Lycett and Jayna Raghwani and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Justin Bahl

68 papers receiving 5.6k 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.

Origins and evolutionary genomics of the 2009 swine-origin H1N1 influenza A epidemic

2009 1.7k citations Gavin J. D. Smith, Dhanasekaran Vijaykrishna et al. Nature profile →

Peers

Justin Bahl

EPIDE

ACS

IMMUN

Dhanasekaran Vijaykrishna Hong Kong

Martha I. Nelson United States

Martin Schutten Netherlands

Masato Hatta United States

Samantha Lycett United Kingdom

John W. McCauley United Kingdom

Thomas M. Chambers United States

Rebecca Halpin United States

Yoshihiro Sakoda Japan

John Steel United States

Dhanasekaran Vijaykrishna Hong Kong

Justin Bahl

4.8k ×1.1

EPIDE

2.7k ×1.2

ACS

3.3k ×1.4

1.2k ×1.2

711 ×1.0

IMMUN

Citations per year, relative to Justin Bahl Justin Bahl (= 1×) peers Dhanasekaran Vijaykrishna

Countries citing papers authored by Justin Bahl

Since Specialization

Citations

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

Fields of papers citing papers by Justin Bahl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Bahl

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Bahl. A scholar is included among the top collaborators of Justin Bahl 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 Justin Bahl. Justin Bahl 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

Fox, Spencer J., Lambodhar Damodaran, Kayo Fujimoto, et al.. (2025). Characterizing spatial epidemiology in a heterogeneous transmission landscape using the spatial transmission count statistic. Communications Medicine. 5(1). 165–165. 1 indexed citations

Ge, Yang, Jessica Knight, Amanda L. Skarlupka, et al.. (2025). High-Dose Inactivated Influenza Vaccine Inconsistently Improves Heterologous Antibody Responses in an Older Human Cohort. The Journal of Infectious Diseases. 231(6). 1536–1543.

Bahl, Justin, et al.. (2025). The role of wild birds in pathogen dynamics: Ecological hotspots, surveillance strategies, and global health implications. Med. 6(4). 100606–100606.

Chopra, Pradeep, Ginger Geiger, Rose Miller, et al.. (2025). N-glycosylation at the receptor binding site drives differences in receptor binding specificity between influenza B virus lineages. Journal of Virology. 99(11). e0103925–e0103925.

Fusaro, Alice, Juan Pu, Yong Zhou, et al.. (2024). Proposal for a Global Classification and Nomenclature System for A/H9 Influenza Viruses. Emerging infectious diseases. 30(8). 1–13. 14 indexed citations

Risatti, Guillermo R., et al.. (2024). Molecular epidemiology, evolution, and transmission dynamics of raccoon rabies virus in Connecticut. Virus Evolution. 11(1). veae114–veae114.

Fujimoto, Kayo, et al.. (2023). Beyond scale-free networks: integrating multilayer social networks with molecular clusters in the local spread of COVID-19. Scientific Reports. 13(1). 21861–21861.

Chen, Jiani, Skylar Gay, Ahmed Kandeil, et al.. (2023). The species coalescent indicates possible bat and pangolin origins of the COVID-19 pandemic. Scientific Reports. 13(1). 5571–5571. 4 indexed citations

Chen, Jiani, Vasanthi Avadhanula, Leonard Moise, et al.. (2023). Diversity and evolution of computationally predicted T cell epitopes against human respiratory syncytial virus. PLoS Computational Biology. 19(1). e1010360–e1010360. 4 indexed citations

10.

Duvvuri, Venkata R., Joseph T. Hicks, Lambodhar Damodaran, et al.. (2023). Comparing the transmission potential from sequence and surveillance data of 2009 North American influenza pandemic waves. Infectious Disease Modelling. 8(1). 240–252. 1 indexed citations

11.

Moise, Leonard, Constantinos S. Kyriakis, Andrés H. Gutiérrez, et al.. (2022). H1N1 G4 swine influenza T cell epitope analysis in swine and human vaccines and circulating strains uncovers potential risk to swine and humans. Influenza and Other Respiratory Viruses. 17(1). e13058–e13058. 1 indexed citations

12.

Prosser, Diann J., Jiani Chen, Christina A. Ahlstrom, et al.. (2022). Maintenance and dissemination of avian-origin influenza A virus within the northern Atlantic Flyway of North America. PLoS Pathogens. 18(6). e1010605–e1010605. 15 indexed citations

13.

Sahajpal, Nikhil, Ashis K. Mondal, Jiani Chen, et al.. (2021). High-Throughput Next-Generation Sequencing Respiratory Viral Panel: A Diagnostic and Epidemiologic Tool for SARS-CoV-2 and Other Viruses. Viruses. 13(10). 2063–2063. 9 indexed citations

14.

Hicks, Joseph T., Dong‐Hun Lee, Venkata R. Duvvuri, et al.. (2020). Agricultural and geographic factors shaped the North American 2015 highly pathogenic avian influenza H5N2 outbreak. PLoS Pathogens. 16(1). e1007857–e1007857. 22 indexed citations

15.

Qiu, Xueting, Venkata R. Duvvuri, & Justin Bahl. (2019). Computational Approaches and Challenges to Developing Universal Influenza Vaccines. Vaccines. 7(2). 45–45. 12 indexed citations

16.

Kirkpatrick, Ericka, Xueting Qiu, Patrick C. Wilson, Justin Bahl, & Florian Krammer. (2018). The influenza virus hemagglutinin head evolves faster than the stalk domain. Scientific Reports. 8(1). 10432–10432. 148 indexed citations

17.

Qiu, Xueting, Venkata R. Duvvuri, Jonathan B. Gubbay, et al.. (2017). Lineage‐specific epitope profiles for HPAI H5 pre‐pandemic vaccine selection and evaluation. Influenza and Other Respiratory Viruses. 11(5). 445–456. 6 indexed citations

18.

Su, Yvonne C. F., Justin Bahl, Udayan Joseph, et al.. (2015). Phylodynamics of H1N1/2009 influenza reveals the transition from host adaptation to immune-driven selection. Nature Communications. 6(1). 7952–7952. 102 indexed citations

19.

Duvvuri, Venkata R., Andrea Granados, Paul Rosenfeld, et al.. (2015). Genetic diversity and evolutionary insights of respiratory syncytial virus A ON1 genotype: global and local transmission dynamics. Scientific Reports. 5(1). 14268–14268. 105 indexed citations

20.

Smith, Gavin J. D., Dhanasekaran Vijaykrishna, Justin Bahl, et al.. (2009). Origins and evolutionary genomics of the 2009 swine-origin H1N1 influenza A epidemic. Nature. 459(7250). 1122–1125. 1663 indexed citations breakdown →

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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