Noah D. Peyser

2.2k total citations · 1 hit paper
22 papers, 738 citations indexed

About

Noah D. Peyser is a scholar working on Clinical Psychology, Oncology and Infectious Diseases. According to data from OpenAlex, Noah D. Peyser has authored 22 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Clinical Psychology, 8 papers in Oncology and 6 papers in Infectious Diseases. Recurrent topics in Noah D. Peyser's work include COVID-19 and Mental Health (8 papers), Lung Cancer Treatments and Mutations (5 papers) and COVID-19 Clinical Research Studies (4 papers). Noah D. Peyser is often cited by papers focused on COVID-19 and Mental Health (8 papers), Lung Cancer Treatments and Mutations (5 papers) and COVID-19 Clinical Research Studies (4 papers). Noah D. Peyser collaborates with scholars based in United States, Hong Kong and China. Noah D. Peyser's co-authors include Jennifer R. Grandis, Gregory M. Marcus, Jeffrey E. Olgin, Mark J. Pletcher, Alexis L. Beatty, Xochitl Butcher, Feng Lin, Jennifer Cocohoba, Hua Li and Vivian Wai Yan Lui and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Noah D. Peyser

22 papers receiving 731 citations

Hit Papers

Analysis of COVID-19 Vaccine Type and Adverse Effects Fol... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Noah D. Peyser
Swati Goel United States
Rana Saber United States
Mounica Vallurupalli United States
Jillian H. Hurst United States
Swati Goel United States
Noah D. Peyser
Citations per year, relative to Noah D. Peyser Noah D. Peyser (= 1×) peers Swati Goel

Countries citing papers authored by Noah D. Peyser

Since Specialization
Citations

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

Fields of papers citing papers by Noah D. Peyser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noah D. Peyser

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

All Works

20 of 20 papers shown
1.
Cozen, Aaron E., Thomas W. Carton, Rita Hamad, et al.. (2024). Factors associated with anxiety during the first two years of the COVID-19 pandemic in the United States: An analysis of the COVID-19 Citizen Science study. PLoS ONE. 19(2). e0297922–e0297922. 6 indexed citations
2.
Durstenfeld, Matthew S., Michael J. Peluso, Feng Lin, et al.. (2024). Association of nirmatrelvir for acute SARS‐CoV‐2 infection with subsequent Long COVID symptoms in an observational cohort study. Journal of Medical Virology. 96(1). e29333–e29333. 28 indexed citations
3.
Durstenfeld, Matthew S., Michael J. Peluso, Noah D. Peyser, et al.. (2023). Factors Associated With Long COVID Symptoms in an Online Cohort Study. Open Forum Infectious Diseases. 10(2). ofad047–ofad047. 52 indexed citations
4.
Nguyen, Nhung, Noah D. Peyser, Jeffrey E. Olgin, et al.. (2023). Associations between tobacco and cannabis use and anxiety and depression among adults in the United States: Findings from the COVID-19 citizen science study. PLoS ONE. 18(9). e0289058–e0289058. 16 indexed citations
5.
Peyser, Noah D., Gregory M. Marcus, Alexis L. Beatty, Jeffrey E. Olgin, & Mark J. Pletcher. (2022). Digital platforms for clinical trials: The Eureka experience. Contemporary Clinical Trials. 115. 106710–106710. 14 indexed citations
6.
Vittinghoff, Eric, Gregory Nah, Noah D. Peyser, et al.. (2021). Characteristics and Behaviors Associated with Prevalent SARS-CoV-2 Infection. International Journal of General Medicine. Volume 14. 1063–1067. 7 indexed citations
7.
Beatty, Alexis L., Noah D. Peyser, Xochitl Butcher, et al.. (2021). Analysis of COVID-19 Vaccine Type and Adverse Effects Following Vaccination. JAMA Network Open. 4(12). e2140364–e2140364. 243 indexed citations breakdown →
8.
Marcus, Gregory M., Jeffrey E. Olgin, Noah D. Peyser, et al.. (2021). Predictors of incident viral symptoms ascertained in the era of COVID-19. PLoS ONE. 16(6). e0253120–e0253120. 5 indexed citations
9.
Lin, Anthony, Eric Vittinghoff, Jeffrey E. Olgin, et al.. (2021). Predictors of incident SARS-CoV-2 infections in an international prospective cohort study. BMJ Open. 11(9). e052025–e052025. 6 indexed citations
10.
Beatty, Alexis L., Noah D. Peyser, Xochitl Butcher, et al.. (2021). The COVID-19 Citizen Science Study: Protocol for a Longitudinal Digital Health Cohort Study. JMIR Research Protocols. 10(8). e28169–e28169. 18 indexed citations
11.
Peyser, Noah D., Lin Wang, Yan Zeng, et al.. (2016). STAT3 as a Chemoprevention Target in Carcinogen-Induced Head and Neck Squamous Cell Carcinoma. Cancer Prevention Research. 9(8). 657–663. 11 indexed citations
12.
Brand, Toni M., Stefan Hartmann, Neil E. Bhola, et al.. (2016). Human Papillomavirus Regulates HER3 Expression in Head and Neck Cancer: Implications for Targeted HER3 Therapy in HPV+ Patients. Clinical Cancer Research. 23(12). 3072–3083. 44 indexed citations
13.
Peyser, Noah D., Kelsey Pendleton, William E. Gooding, et al.. (2016). Genomic and Transcriptomic Alterations Associated with STAT3 Activation in Head and Neck Cancer. PLoS ONE. 11(11). e0166185–e0166185. 6 indexed citations
14.
Peyser, Noah D., Yu Du, Hua Li, et al.. (2015). Loss-of-Function PTPRD Mutations Lead to Increased STAT3 Activation and Sensitivity to STAT3 Inhibition in Head and Neck Cancer. PLoS ONE. 10(8). e0135750–e0135750. 47 indexed citations
15.
16.
Li, Hua, William E. Gooding, Levi A. Garraway, et al.. (2014). Genomic Analysis of Head and Neck Squamous Cell Carcinoma Cell Lines and Human Tumors: A Rational Approach to Preclinical Model Selection. Molecular Cancer Research. 12(4). 571–582. 91 indexed citations
17.
Song, Gyun Jee, Kristen Leslie, Stacey Barrick, et al.. (2014). Phosphorylation of Ezrin-Radixin-Moesin-binding Phosphoprotein 50 (EBP50) by Akt Promotes Stability and Mitogenic Function of S-phase Kinase-associated Protein-2 (Skp2). Journal of Biological Chemistry. 290(5). 2879–2887. 19 indexed citations
18.
Grandis, Jennifer R. & Noah D. Peyser. (2013). Critical analysis of the potential for targeting STAT3 in human malignancy. OncoTargets and Therapy. 6. 999–999. 21 indexed citations
19.
Du, Yu, Noah D. Peyser, & Jennifer R. Grandis. (2013). Integration of molecular targeted therapy with radiation in head and neck cancer. Pharmacology & Therapeutics. 142(1). 88–98. 44 indexed citations
20.
Hedberg, Matthew L., Vivian Wai Yan Lui, Hua Li, et al.. (2013). Abstract 2011: The PI3K pathway is the most frequently mutated mitogenic pathway in HNSCC.. Cancer Research. 73(8_Supplement). 2011–2011. 1 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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