Andrew Pekosz

18.0k total citations · 1 hit paper
198 papers, 7.7k citations indexed

About

Andrew Pekosz is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Andrew Pekosz has authored 198 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Infectious Diseases, 97 papers in Epidemiology and 41 papers in Immunology. Recurrent topics in Andrew Pekosz's work include Influenza Virus Research Studies (81 papers), Respiratory viral infections research (58 papers) and SARS-CoV-2 and COVID-19 Research (57 papers). Andrew Pekosz is often cited by papers focused on Influenza Virus Research Studies (81 papers), Respiratory viral infections research (58 papers) and SARS-CoV-2 and COVID-19 Research (57 papers). Andrew Pekosz collaborates with scholars based in United States, Taiwan and Germany. Andrew Pekosz's co-authors include Sabra L. Klein, Robert A. Lamb, Anne Jedlicka, Matthew F. McCown, Jie Zhang, Lawrence H. Pinto, Michael Diamond, Regina K. Rowe, Steven L. Brody and Francisco González‐Scarano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Andrew Pekosz

188 papers receiving 7.6k 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.

The Xs and Y of immune responses to viral vaccines

2010 603 citations Sabra L. Klein, Anne Jedlicka et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Pekosz United States	46	3.1k	2.9k	2.1k	2.0k	672	198	7.7k
Geert Leroux‐Roels Belgium	58	6.9k 2.2×	2.2k 0.8×	3.0k 1.4×	1.8k 0.9×	745 1.1×	297	11.5k
Ted M. Ross United States	49	4.4k 1.4×	2.5k 0.9×	3.1k 1.5×	1.8k 0.9×	610 0.9×	269	8.2k
Brian J. Ward Canada	53	4.2k 1.3×	3.1k 1.1×	2.1k 1.0×	1.3k 0.7×	1.2k 1.8×	236	8.9k
Cornelia L. Dekker United States	46	3.7k 1.2×	1.5k 0.5×	4.2k 2.0×	1.8k 0.9×	340 0.5×	104	8.5k
Inna G. Ovsyannikova United States	55	4.0k 1.3×	2.9k 1.0×	3.1k 1.4×	2.4k 1.2×	433 0.6×	209	8.3k
Ying Zhang China	51	2.0k 0.6×	1.9k 0.6×	2.0k 0.9×	2.9k 1.5×	424 0.6×	523	9.3k
Ian Barr Australia	57	7.1k 2.2×	2.6k 0.9×	1.7k 0.8×	1.8k 0.9×	757 1.1×	288	9.9k
Robert F. Garry United States	43	1.9k 0.6×	3.2k 1.1×	1.3k 0.6×	1.6k 0.8×	882 1.3×	227	7.1k
Mark J. Mulligan United States	46	3.2k 1.0×	3.6k 1.2×	3.2k 1.5×	1.8k 0.9×	1.5k 2.2×	150	8.5k
Suryaprakash Sambhara United States	45	3.2k 1.0×	1.5k 0.5×	4.4k 2.1×	1.7k 0.9×	237 0.4×	128	7.5k

Countries citing papers authored by Andrew Pekosz

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Pekosz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Pekosz

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

Hsieh, Leon L., Elizabeth A. Thompson, Weiqiang Zhou, et al.. (2025). SARS-CoV-2 induces neutrophil degranulation and differentiation into myeloid-derived suppressor cells associated with severe COVID-19. Science Translational Medicine. 17(799). eadn7527–eadn7527. 1 indexed citations

Sachithanandham, Jaiprasath, Amary Fall, Thao Truong, et al.. (2024). SARS-CoV-2 Variants from Long-Term, Persistently Infected Immunocompromised Patients Have Altered Syncytia Formation, Temperature-Dependent Replication, and Serum Neutralizing Antibody Escape. Viruses. 16(9). 1436–1436. 1 indexed citations

Shook, Lydia L., Emily Gilbert, Zhigang Liu, et al.. (2024). Enhanced placental antibody transfer efficiency with longer interval between maternal respiratory syncytial virus vaccination and birth. American Journal of Obstetrics and Gynecology. 232(6). 554.e1–554.e15. 9 indexed citations

Bersoff‐Matcha, Susan, Andrew Pekosz, Heba H. Mostafa, et al.. (2024). A scoping review of global COVID-19 vaccine hesitancy among pregnant persons. npj Vaccines. 9(1). 131–131. 12 indexed citations

Swanson, Nicholas J., Paula M. Marinho, Amanda Dziedzic, et al.. (2023). 2019–2020 H1N1 clade A5a.1 viruses have better in vitro fitness compared with the co-circulating A5a.2 clade. Scientific Reports. 13(1). 10223–10223. 6 indexed citations

Chen, Kuan‐Fu, Chin‐Chieh Wu, Ismaeel Yunusa, et al.. (2023). Diagnostic accuracy of clinical signs and symptoms of COVID-19: A systematic review and meta-analysis to investigate the different estimates in a different stage of the pandemic outbreak. Journal of Global Health. 13. 6026–6026. 7 indexed citations

Li, Jinhua, Chin‐Chieh Wu, Yi‐Ju Tseng, et al.. (2022). Applying symptom dynamics to accurately predict influenza virus infection: An international multicenter influenza‐like illness surveillance study. Influenza and Other Respiratory Viruses. 17(1). e13081–e13081. 1 indexed citations

Morris, C. Paul, Raghda E. Eldesouki, Jaiprasath Sachithanandham, et al.. (2022). Omicron Subvariants: Clinical, Laboratory, and Cell Culture Characterization. Clinical Infectious Diseases. 76(7). 1276–1284. 9 indexed citations

Chiang, Teresa Po‐Yu, Jennifer L. Alejo, Jonathan Mitchell, et al.. (2022). Heterologous Ad.26.COV2.S versus homologous BNT162b2/mRNA-1273 as a third dose in solid organ transplant recipients seronegative after two-dose mRNA vaccination. American Journal of Transplantation. 22(9). 2254–2260. 11 indexed citations

10.

Vermillion, Meghan S., Yun Zhang, Danielle R. Adney, et al.. (2022). Animal Models of Enterovirus D68 Infection and Disease. Journal of Virology. 96(15). e0083322–e0083322. 16 indexed citations

11.

Kandathil, Abraham J., Sarah E. Benner, Evan M. Bloch, et al.. (2022). Absence of pathogenic viruses in COVID‐19 convalescent plasma. Transfusion. 63(1). 23–29. 3 indexed citations

12.

Karaba, Andrew H., Weiqiang Zhou, Shuai Li, et al.. (2022). Impact of Seasonal Coronavirus Antibodies on Severe Acute Respiratory Syndrome Coronavirus 2 Vaccine Responses in Solid Organ Transplant Recipients. Clinical Infectious Diseases. 76(3). e495–e498. 3 indexed citations

13.

Luo, Chun Huai, C. Paul Morris, Jaiprasath Sachithanandham, et al.. (2021). Infection With the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Delta Variant Is Associated With Higher Recovery of Infectious Virus Compared to the Alpha Variant in Both Unvaccinated and Vaccinated Individuals. Clinical Infectious Diseases. 75(1). e715–e725. 90 indexed citations

14.

Pekosz, Andrew, Valentin Parvu, Maggie Li, et al.. (2021). Antigen-Based Testing but Not Real-Time Polymerase Chain Reaction Correlates With Severe Acute Respiratory Syndrome Coronavirus 2 Viral Culture. Clinical Infectious Diseases. 73(9). e2861–e2866. 156 indexed citations

15.

Redd, Andrew D., Alessandra Nardin, Hassen Kared, et al.. (2021). CD8+ T-Cell Responses in COVID-19 Convalescent Individuals Target Conserved Epitopes From Multiple Prominent SARS-CoV-2 Circulating Variants. Open Forum Infectious Diseases. 8(7). ofab143–ofab143. 63 indexed citations

16.

Skinner, Nicole, Paul W. Blair, Han-Sol Park, et al.. (2021). Durable SARS-CoV-2 B cell immunity after mild or severe disease. Journal of Clinical Investigation. 131(7). 57 indexed citations

17.

Mehoke, Thomas, Kathryn Shaw‐Saliba, Harrison Powell, et al.. (2021). Identification of H3N2 NA and PB1-F2 genetic variants and their association with disease symptoms during the 2014–15 influenza season. Virus Evolution. 7(1). veab047–veab047. 3 indexed citations

18.

Shapiro, Janna R., Santosh Dhakal, Rosemary Morgan, et al.. (2021). Sex-specific effects of age and body mass index on antibody responses to seasonal influenza vaccines in healthcare workers. Vaccine. 40(11). 1634–1642. 15 indexed citations

19.

Gniazdowski, Victoria, C. Paul Morris, Shirlee Wohl, et al.. (2020). Repeated Coronavirus Disease 2019 Molecular Testing: Correlation of Severe Acute Respiratory Syndrome Coronavirus 2 Culture With Molecular Assays and Cycle Thresholds. Clinical Infectious Diseases. 73(4). e860–e869. 100 indexed citations

20.

Lenschow, Deborah J., Natalia Frias‐Staheli, Nadia V. Giannakopoulos, et al.. (2007). IFN-stimulated gene 15 functions as a critical antiviral molecule against influenza, herpes, and Sindbis viruses. Proceedings of the National Academy of Sciences. 104(4). 1371–1376. 436 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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