Noah D. Peyser

87 total papers · 2.2k total citations
22 papers, 730 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 730 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, Jeffrey E. Olgin, Gregory M. Marcus, 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 723 citations

Hit Papers

Analysis of COVID-19 Vacc... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Noah D. Peyser 234 202 190 123 108 22 730
Javier Carbajo-Lozoya 401 1.7× 190 0.9× 115 0.6× 94 0.8× 114 1.1× 14 849
Xiaoyu Fang 235 1.0× 159 0.8× 100 0.5× 20 0.2× 129 1.2× 36 750
Federica Sandri 90 0.4× 216 1.1× 175 0.9× 37 0.3× 49 0.5× 23 832
Min Liu 168 0.7× 299 1.5× 152 0.8× 23 0.2× 34 0.3× 41 910
Queenie Fernandes 198 0.8× 185 0.9× 190 1.0× 21 0.2× 46 0.4× 25 729
Catarina Alisa Kunze 174 0.7× 102 0.5× 257 1.4× 16 0.1× 90 0.8× 18 629
Jenna Haverfield 331 1.4× 170 0.8× 116 0.6× 22 0.2× 109 1.0× 14 876
Branson Chen 192 0.8× 144 0.7× 177 0.9× 96 0.8× 16 0.1× 28 824
Tao Lan 250 1.1× 170 0.8× 59 0.3× 22 0.2× 63 0.6× 31 802
Wenxin Luo 167 0.7× 250 1.2× 114 0.6× 18 0.1× 33 0.3× 29 626

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

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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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