Caroline G. Tai

1.9k total citations
23 papers, 817 citations indexed

About

Caroline G. Tai is a scholar working on Oncology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Caroline G. Tai has authored 23 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Infectious Diseases and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Caroline G. Tai's work include SARS-CoV-2 and COVID-19 Research (7 papers), Global Cancer Incidence and Screening (4 papers) and SARS-CoV-2 detection and testing (4 papers). Caroline G. Tai is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), Global Cancer Incidence and Screening (4 papers) and SARS-CoV-2 detection and testing (4 papers). Caroline G. Tai collaborates with scholars based in United States, United Kingdom and France. Caroline G. Tai's co-authors include Viraj A. Master, Daniel Canter, David A. Kooby, Kenneth Ogan, Shishir K. Maithel, Louis M. Revenig, Maxwell D. Taylor, John F. Sweeney, Juan M. Sarmiento and Christina Mack and has published in prestigious journals such as JAMA, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Caroline G. Tai

21 papers receiving 805 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caroline G. Tai United States	14	191	182	163	149	141	23	817
Ashton A. Shaffer United States	17	157 0.8×	188 1.0×	31 0.2×	29 0.2×	205 1.5×	29	1.2k
Pilar Sáez-López Spain	14	27 0.1×	168 0.9×	166 1.0×	59 0.4×	487 3.5×	48	990
Luis Miguel Luengo Pérez Spain	19	62 0.3×	58 0.3×	19 0.1×	71 0.5×	437 3.1×	91	1.2k
Da Hea Seo South Korea	16	300 1.6×	14 0.1×	58 0.4×	89 0.6×	260 1.8×	51	979
June‐Ho Kim United States	16	117 0.6×	12 0.1×	63 0.4×	89 0.6×	46 0.3×	29	967
R. Kurup Australia	8	48 0.3×	38 0.2×	210 1.3×	25 0.2×	85 0.6×	14	805
Enrico G. Ferro United States	14	184 1.0×	21 0.1×	174 1.1×	111 0.7×	67 0.5×	43	708
Joana Rodrigues Dantas Brazil	11	248 1.3×	10 0.1×	50 0.3×	85 0.6×	121 0.9×	36	668
Luz-Ma-Adriana Balderas-Peña Mexico	13	27 0.1×	20 0.1×	156 1.0×	140 0.9×	74 0.5×	41	630
Claudia Biasini Italy	13	92 0.5×	17 0.1×	29 0.2×	421 2.8×	105 0.7×	24	1.3k

Countries citing papers authored by Caroline G. Tai

Since Specialization

Citations

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

Fields of papers citing papers by Caroline G. Tai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline G. Tai. 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 Caroline G. Tai. The network helps show where Caroline G. Tai may publish in the future.

Co-authorship network of co-authors of Caroline G. Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline G. Tai. A scholar is included among the top collaborators of Caroline G. Tai 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 Caroline G. Tai. Caroline G. Tai 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

Rough, Kathryn, et al.. (2024). Core Concepts in Pharmacoepidemiology: Principled Use of Artificial Intelligence and Machine Learning in Pharmacoepidemiology and Healthcare Research. Pharmacoepidemiology and Drug Safety. 33(11). e70041–e70041.

Tai, Caroline G., Miriam J. Haviland, Stephen M. Kissler, et al.. (2024). Low antibody levels associated with significantly increased rate of SARS‐CoV‐2 infection in a highly vaccinated population from the US National Basketball Association. Journal of Medical Virology. 96(3). e29505–e29505. 2 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

Merson, Michael, Lisa L. Maragakis, Rachel Davis, et al.. (2023). The “Bubble”: What Can Be Learned from the National Basketball Association (NBA)’s 2019–20 Season Restart in Orlando during the COVID-19 Pandemic. The Journal of Applied Laboratory Medicine. 8(6). 1017–1027.

Tai, Caroline G., Lisa L. Maragakis, Sarah Connolly, et al.. (2022). Association Between COVID-19 Booster Vaccination and Omicron Infection in a Highly Vaccinated Cohort of Players and Staff in the National Basketball Association. JAMA. 328(2). 209–209. 12 indexed citations

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

Mack, Christina, Caroline G. Tai, Robby Sikka, et al.. (2021). Severe Acute Respiratory Syndrome Coronavirus 2 Reinfection: A Case Series From a 12-Month Longitudinal Occupational Cohort. Clinical Infectious Diseases. 74(9). 1682–1685. 6 indexed citations

Kissler, Stephen M., Joseph R. Fauver, Christina Mack, et al.. (2021). Viral dynamics of acute SARS-CoV-2 infection and applications to diagnostic and public health strategies. PLoS Biology. 19(7). e3001333–e3001333. 91 indexed citations

Kumar, Shefali, Jennifer L. Tran, Heidi Moseson, et al.. (2018). The Impact of the Virtual Cognitive Health Program on the Cognition and Mental Health of Older Adults: Pre-Post 12-Month Pilot Study. JMIR Aging. 1(2). e12031–e12031. 20 indexed citations

10.

Tai, Caroline G., Julie Harris-Wai, Catherine Schaefer, Petra Liljestrand, & Carol P. Somkin. (2018). Multiple Stakeholder Views on Data Sharing in a Biobank in an Integrated Healthcare Delivery System: Implications for Biobank Governance. Public Health Genomics. 21(5-6). 207–216. 5 indexed citations

11.

Hoffman, Joshua, Rebecca E. Graff, Nima C. Emami, et al.. (2017). Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk. PLoS Genetics. 13(3). e1006690–e1006690. 39 indexed citations

12.

Gauderman, W. James, Bhramar Mukherjee, Hugues Aschard, et al.. (2017). Update on the State of the Science for Analytical Methods for Gene-Environment Interactions. American Journal of Epidemiology. 186(7). 762–770. 57 indexed citations

13.

Tai, Caroline G. & Robert A. Hiatt. (2017). The Population Burden of Cancer: Research Driven by the Catchment Area of a Cancer Center. Epidemiologic Reviews. 39(1). 108–122. 24 indexed citations

14.

Izano, Monika A., Esther K. Wei, Caroline G. Tai, et al.. (2015). Chronic inflammation and risk of colorectal and other obesity‐related cancers: The health, aging and body composition study. International Journal of Cancer. 138(5). 1118–1128. 54 indexed citations

15.

Hiatt, Robert A., Caroline G. Tai, Douglas W. Blayney, et al.. (2015). Leveraging State Cancer Registries to Measure and Improve the Quality of Cancer Care: A Potential Strategy for California and Beyond. JNCI Journal of the National Cancer Institute. 107(5). djv047–djv047. 27 indexed citations

16.

Tai, Caroline G., Rebecca E. Graff, Jinghua Liu, et al.. (2015). Detecting gene–environment interactions in human birth defects: Study designs and statistical methods. Birth Defects Research Part A Clinical and Molecular Teratology. 103(8). 692–702. 5 indexed citations

17.

Jani, Ashesh B., Caroline G. Tai, Daniel K. Lee, et al.. (2014). Video‐based educational tool improves patient comprehension of common prostate health terminology. Cancer. 121(5). 733–740. 50 indexed citations

18.

Revenig, Louis M., Daniel Canter, Viraj A. Master, et al.. (2013). A Prospective Study Examining the Association Between Preoperative Frailty and Postoperative Complications in Patients Undergoing Minimally Invasive Surgery. Journal of Endourology. 28(4). 476–480. 42 indexed citations

19.

Revenig, Louis M., Daniel Canter, Maxwell D. Taylor, et al.. (2013). Too Frail for Surgery? Initial Results of a Large Multidisciplinary Prospective Study Examining Preoperative Variables Predictive of Poor Surgical Outcomes. Journal of the American College of Surgeons. 217(4). 665–670e1. 222 indexed citations

20.

Moscona, Anne, Matteo Porotto, Samantha G. Palmer, et al.. (2010). A Recombinant Sialidase Fusion Protein Effectively Inhibits Human Parainfluenza Viral Infection In Vitro and In Vivo. The Journal of Infectious Diseases. 202(2). 234–241. 62 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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