Nathan D. Grubaugh

25.7k total citations · 5 hit papers
90 papers, 3.7k citations indexed

About

Nathan D. Grubaugh is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Insect Science. According to data from OpenAlex, Nathan D. Grubaugh has authored 90 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Infectious Diseases, 50 papers in Public Health, Environmental and Occupational Health and 14 papers in Insect Science. Recurrent topics in Nathan D. Grubaugh's work include Mosquito-borne diseases and control (46 papers), Viral Infections and Vectors (36 papers) and SARS-CoV-2 and COVID-19 Research (28 papers). Nathan D. Grubaugh is often cited by papers focused on Mosquito-borne diseases and control (46 papers), Viral Infections and Vectors (36 papers) and SARS-CoV-2 and COVID-19 Research (28 papers). Nathan D. Grubaugh collaborates with scholars based in United States, United Kingdom and Belgium. Nathan D. Grubaugh's co-authors include Kristian G. Andersen, Doug E. Brackney, Gregory D. Ebel, Akiko Iwasaki, Edward C. Holmes, Oliver G. Pybus, Joseph R. Fauver, Chantal B. F. Vogels, Albert I. Ko and Jason T. Ladner and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Nathan D. Grubaugh

81 papers receiving 3.7k citations

Hit Papers

5 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.

Measurement of SARS-CoV-2 RNA in wastewater tracks community infection dynamics

2020 640 citations Doug E. Brackney, Nathan D. Grubaugh et al. profile →
An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar

2019 459 citations Nathan D. Grubaugh, Karthik Gangavarapu et al. profile →
Tracking virus outbreaks in the twenty-first century

2018 243 citations Nathan D. Grubaugh, Philippe Lemey et al. profile →
Persistent SARS-CoV-2 infection: significance and implications

2024 69 citations Anne M. Hahn, Nathan D. Grubaugh et al. profile →
Contribution of climate change to the spatial expansion of West Nile virus in Europe

2024 51 citations Chantal B. F. Vogels, Nathan D. Grubaugh 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
Nathan D. Grubaugh United States	32	2.6k	1.2k	568	480	424	90	3.7k
Chantal Reusken Netherlands	45	6.1k 2.3×	1.8k 1.5×	675 1.2×	286 0.6×	672 1.6×	194	7.9k
Oumar Faye Senegal	33	2.6k 1.0×	3.5k 2.9×	577 1.0×	315 0.7×	795 1.9×	194	4.9k
Amadou A. Sall Senegal	39	3.2k 1.2×	3.1k 2.5×	385 0.7×	181 0.4×	528 1.2×	114	4.7k
Ousmane Faye Senegal	28	1.5k 0.6×	2.2k 1.8×	391 0.7×	169 0.4×	578 1.4×	141	3.6k
Matthias Niedrig Germany	48	5.6k 2.1×	4.1k 3.3×	746 1.3×	309 0.6×	922 2.2×	210	7.4k
Maurício Lacerda Nogueira Brazil	37	1.9k 0.7×	2.3k 1.9×	570 1.0×	132 0.3×	864 2.0×	217	4.0k
Futoshi Hasebe Japan	28	1.9k 0.7×	1.7k 1.4×	490 0.9×	534 1.1×	500 1.2×	91	3.0k
Liangjun Chen China	15	1.8k 0.7×	393 0.3×	321 0.6×	166 0.3×	359 0.8×	43	2.8k
Philippe Dussart Cambodia	33	2.6k 1.0×	2.4k 2.0×	299 0.5×	137 0.3×	854 2.0×	149	3.8k
Xue‐jie Yu China	40	3.3k 1.2×	903 0.7×	498 0.9×	69 0.1×	380 0.9×	143	5.1k

Countries citing papers authored by Nathan D. Grubaugh

Since Specialization

Citations

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

Fields of papers citing papers by Nathan D. Grubaugh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan D. Grubaugh. 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 Nathan D. Grubaugh. The network helps show where Nathan D. Grubaugh may publish in the future.

Co-authorship network of co-authors of Nathan D. Grubaugh

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Grubaugh, Nathan D., Diana Dávalos, Pío López, et al.. (2024). Dengue Outbreak Caused by Multiple Virus Serotypes and Lineages, Colombia, 2023–2024. Emerging infectious diseases. 30(11). 2391–2395. 3 indexed citations

Solomon, Isaac H., Sam R. Telford, Matthew T. Aliota, et al.. (2024). Analysis of Powassan Virus Genome Sequences from Human Cases Reveals Substantial Genetic Diversity with Implications for Molecular Assay Development. Viruses. 16(11). 1653–1653.

Chaguza, Chrispin, David Ferguson, Wade L. Schulz, et al.. (2024). Genome-wide association study between SARS-CoV-2 single nucleotide polymorphisms and virus copies during infections. PLoS Computational Biology. 20(9). e1012469–e1012469. 1 indexed citations

Kissler, Stephen M., James A. Hay, Joseph R. Fauver, et al.. (2023). Viral kinetics of sequential SARS-CoV-2 infections. Nature Communications. 14(1). 6206–6206. 12 indexed citations

Vogels, Chantal B. F., Doug E. Brackney, Alan P. Dupuis, et al.. (2023). Phylogeographic reconstruction of the emergence and spread of Powassan virus in the northeastern United States. Proceedings of the National Academy of Sciences. 120(16). e2218012120–e2218012120. 22 indexed citations

Petrone, Mary E., Carolina Lucas, Bridget L. Menasché, et al.. (2023). Nonsystematic Reporting Biases of the SARS-CoV-2 Variant Mu Could Impact Our Understanding of the Epidemiological Dynamics of Emerging Variants. Genome Biology and Evolution. 15(4).

Dupuis, Alan P., Melissa A. Prusinski, Joseph G. Maffei, et al.. (2022). Identification and characterization of novel lineage 1 Powassan virus strains in New York State. Emerging Microbes & Infections. 12(1). 2155585–2155585. 11 indexed citations

Alpert, Tara, Chantal B. F. Vogels, Mallery I. Breban, et al.. (2021). Sequencing SARS-CoV-2 genomes from saliva. Virus Evolution. 8(1). veab098–veab098. 6 indexed citations

Roberts, Scott C., Nathan D. Grubaugh, Tara Alpert, et al.. (2021). An outbreak of SARS‐CoV‐2 on a transplant unit in the early vaccination era. Transplant Infectious Disease. 24(2). e13782–e13782. 5 indexed citations

10.

Bart, Stephen M., Tara Alpert, Rebecca Earnest, et al.. (2021). Multiple Transmission Chains within COVID-19 Cluster, Connecticut, USA, 20201. Emerging infectious diseases. 27(10). 2669–2672. 5 indexed citations

11.

Peters, John, et al.. (2021). MOG-associated encephalitis following SARS-COV-2 infection. Multiple Sclerosis and Related Disorders. 50. 102857–102857. 42 indexed citations

12.

Novelli, Giuseppe, Michela Biancolella, Ruty Mehrian‐Shai, et al.. (2021). COVID-19 one year into the pandemic: from genetics and genomics to therapy, vaccination, and policy. Human Genomics. 15(1). 27–27. 27 indexed citations

13.

Kissler, Stephen M., Joseph R. Fauver, Christina Mack, et al.. (2021). Densely sampled viral trajectories suggest longer duration of acute infection with B.1.1.7 variant relative to non-B.1.1.7 SARS-CoV-2. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 33 indexed citations

14.

Çevik, Müge, Nathan D. Grubaugh, Akiko Iwasaki, & Peter Openshaw. (2021). COVID-19 vaccines: Keeping pace with SARS-CoV-2 variants. Cell. 184(20). 5077–5081. 88 indexed citations

15.

Dellicour, Simon, Sébastian Lequime, Bram Vrancken, et al.. (2020). Epidemiological hypothesis testing using a phylogeographic and phylodynamic framework. Nature Communications. 11(1). 5620–5620. 37 indexed citations

16.

Vogels, Chantal B. F., Claudia Rückert, Sean Cavany, et al.. (2019). Arbovirus coinfection and co-transmission: A neglected public health concern?. PLoS Biology. 17(1). e3000130–e3000130. 117 indexed citations

17.

Weger‐Lucarelli, James, Claudia Rückert, Nathan D. Grubaugh, et al.. (2018). Adventitious viruses persistently infect three commonly used mosquito cell lines. Virology. 521. 175–180. 26 indexed citations

18.

Grubaugh, Nathan D. & Kristian G. Andersen. (2017). Experimental Evolution to Study Virus Emergence. Cell. 169(1). 1–3. 23 indexed citations

19.

Grubaugh, Nathan D. & Gregory D. Ebel. (2016). Dynamics of West Nile virus evolution in mosquito vectors. Current Opinion in Virology. 21. 132–138. 36 indexed citations

20.

Grubaugh, Nathan D., et al.. (2016). Isolation of a Novel Insect-Specific Flavivirus from Culiseta melanura in the Northeastern United States. Vector-Borne and Zoonotic Diseases. 16(3). 181–190. 14 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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