Tara M. Narowski

582 total citations
9 papers, 314 citations indexed

About

Tara M. Narowski is a scholar working on Infectious Diseases, Molecular Biology and Geriatrics and Gerontology. According to data from OpenAlex, Tara M. Narowski has authored 9 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Geriatrics and Gerontology. Recurrent topics in Tara M. Narowski's work include SARS-CoV-2 and COVID-19 Research (5 papers), Viral gastroenteritis research and epidemiology (3 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Tara M. Narowski is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), Viral gastroenteritis research and epidemiology (3 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Tara M. Narowski collaborates with scholars based in United States, Australia and Italy. Tara M. Narowski's co-authors include Deborah M. Muoio, Michael T. Davidson, Kelsey H. Fisher‐Wellman, Timothy R. Koves, Chien‐Te Lin, Paul A. Grimsrud, James A. Draper, Daniel P. Kelly, Lakshmanane Premkumar and Ling‐Ping Lai and has published in prestigious journals such as Circulation Research, Cell Metabolism and Science Advances.

In The Last Decade

Tara M. Narowski

8 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tara M. Narowski United States 7 155 100 74 46 33 9 314
Mariana Dupont United States 9 137 0.9× 62 0.6× 57 0.8× 23 0.5× 23 0.7× 17 301
Alessia Mongelli Italy 8 156 1.0× 49 0.5× 42 0.6× 11 0.2× 14 0.4× 19 295
Aparajit B. Dey India 5 79 0.5× 100 1.0× 76 1.0× 76 1.7× 82 2.5× 7 327
Yafen Yu China 10 112 0.7× 29 0.3× 41 0.6× 6 0.1× 48 1.5× 29 321
Rivka Lederman United States 11 141 0.9× 24 0.2× 23 0.3× 12 0.3× 32 1.0× 15 328
Kuoyuan Cheng United States 9 146 0.9× 22 0.2× 66 0.9× 13 0.3× 25 0.8× 16 267
Fuqiang Liu China 10 60 0.4× 23 0.2× 24 0.3× 9 0.2× 35 1.1× 15 250
Ferdinand Wit Netherlands 7 143 0.9× 23 0.2× 52 0.7× 5 0.1× 83 2.5× 11 640
Olga Bielska United States 5 276 1.8× 27 0.3× 11 0.1× 18 0.4× 39 1.2× 5 336
Eman Rashed United States 10 239 1.5× 49 0.5× 18 0.2× 7 0.2× 44 1.3× 22 376

Countries citing papers authored by Tara M. Narowski

Since Specialization
Citations

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

Fields of papers citing papers by Tara M. Narowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tara M. Narowski. 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 Tara M. Narowski. The network helps show where Tara M. Narowski may publish in the future.

Co-authorship network of co-authors of Tara M. Narowski

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

All Works

9 of 9 papers shown
1.
Mallory, Michael L., Jennifer E. Munt, Tara M. Narowski, et al.. (2024). COVID-19 point-of-care tests can identify low-antibody individuals: In-depth immunoanalysis of boosting benefits in a healthy cohort. Science Advances. 10(24). eadi1379–eadi1379.
2.
Tarke, Alison, Yun Zhang, Nils Methot, et al.. (2023). Targets and cross-reactivity of human T cell recognition of common cold coronaviruses. Cell Reports Medicine. 4(6). 101088–101088. 22 indexed citations
3.
Narowski, Tara M., Lily E. Adams, Nadja A. Vielot, et al.. (2022). SARS-CoV-2 mRNA vaccine induces robust specific and cross-reactive IgG and unequal neutralizing antibodies in naive and previously infected people. Cell Reports. 38(5). 110336–110336. 32 indexed citations
4.
Yu, Esther Dawen, Tara M. Narowski, Eric Wang, et al.. (2022). Immunological memory to common cold coronaviruses assessed longitudinally over a three-year period pre-COVID19 pandemic. Cell Host & Microbe. 30(9). 1269–1278.e4. 22 indexed citations
5.
Yu, Esther Dawen, Tara M. Narowski, Eric Wang, et al.. (2022). Immunological Memory to Common Cold Coronaviruses Assessed Longitudinally Over a Three-Year Period. SSRN Electronic Journal. 1 indexed citations
6.
Davidson, Michael T., Paul A. Grimsrud, Ling‐Ping Lai, et al.. (2020). Extreme Acetylation of the Cardiac Mitochondrial Proteome Does Not Promote Heart Failure. Circulation Research. 127(8). 1094–1108. 55 indexed citations
7.
Williams, Ashley S., Timothy R. Koves, Michael T. Davidson, et al.. (2019). Disruption of Acetyl-Lysine Turnover in Muscle Mitochondria Promotes Insulin Resistance and Redox Stress without Overt Respiratory Dysfunction. Cell Metabolism. 31(1). 131–147.e11. 37 indexed citations
8.
Fisher‐Wellman, Kelsey H., James A. Draper, Michael T. Davidson, et al.. (2019). Respiratory Phenomics across Multiple Models of Protein Hyperacylation in Cardiac Mitochondria Reveals a Marginal Impact on Bioenergetics. Cell Reports. 26(6). 1557–1572.e8. 43 indexed citations
9.
Fisher‐Wellman, Kelsey H., Michael T. Davidson, Tara M. Narowski, et al.. (2018). Mitochondrial Diagnostics: A Multiplexed Assay Platform for Comprehensive Assessment of Mitochondrial Energy Fluxes. Cell Reports. 24(13). 3593–3606.e10. 102 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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