Wayne R. Danter

489 total citations
15 papers, 347 citations indexed

About

Wayne R. Danter is a scholar working on Molecular Biology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wayne R. Danter has authored 15 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wayne R. Danter's work include CRISPR and Genetic Engineering (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Pluripotent Stem Cells Research (3 papers). Wayne R. Danter is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Pluripotent Stem Cells Research (3 papers). Wayne R. Danter collaborates with scholars based in Canada, United States and Spain. Wayne R. Danter's co-authors include Saman Maleki Vareki, James Koropatnick, Sally Esmail, Serban San‐Marina, Peter Eng, R. R. F. Ruby, Charles F. George, Neville Suskin and Gerald Wisenberg and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and CHEST Journal.

In The Last Decade

Wayne R. Danter

13 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wayne R. Danter Canada 8 153 139 76 45 41 15 347
Wenshan Zhao China 13 181 1.2× 312 2.2× 25 0.3× 35 0.8× 26 0.6× 19 577
Thomas Jackson United Kingdom 12 77 0.5× 255 1.8× 78 1.0× 45 1.0× 8 0.2× 23 446
Jiayi Wu China 11 134 0.9× 182 1.3× 18 0.2× 26 0.6× 11 0.3× 37 442
Takuya Kawata Japan 9 51 0.3× 203 1.5× 67 0.9× 44 1.0× 11 0.3× 31 399
Lola E. Navas Spain 5 121 0.8× 203 1.5× 32 0.4× 41 0.9× 6 0.1× 8 407
Teneille Walker United States 10 124 0.8× 259 1.9× 48 0.6× 25 0.6× 4 0.1× 13 461
John Doran United States 10 83 0.5× 343 2.5× 41 0.5× 58 1.3× 5 0.1× 17 550
Alberto Contreras‐Sanz Canada 11 53 0.3× 146 1.1× 10 0.1× 56 1.2× 16 0.4× 19 332
Mona A. Marie United States 9 86 0.6× 156 1.1× 19 0.3× 29 0.6× 6 0.1× 12 334
Eszter Lajkó Hungary 12 91 0.6× 205 1.5× 13 0.2× 21 0.5× 7 0.2× 42 368

Countries citing papers authored by Wayne R. Danter

Since Specialization
Citations

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

Fields of papers citing papers by Wayne R. Danter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne R. Danter. 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 Wayne R. Danter. The network helps show where Wayne R. Danter may publish in the future.

Co-authorship network of co-authors of Wayne R. Danter

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

All Works

15 of 15 papers shown
1.
Esmail, Sally & Wayne R. Danter. (2021). NEUBOrg: Artificially Induced Pluripotent Stem Cell-Derived Brain Organoid to Model and Study Genetics of Alzheimer’s Disease Progression. Frontiers in Aging Neuroscience. 13. 643889–643889. 10 indexed citations
2.
Esmail, Sally & Wayne R. Danter. (2021). Lung organoid simulations for modelling and predicting the effect of mutations on SARS-CoV-2 infectivity. Computational and Structural Biotechnology Journal. 19. 1701–1712. 3 indexed citations
4.
6.
Esmail, Sally & Wayne R. Danter. (2020). Viral pandemic preparedness: A pluripotent stem cell-based machine-learning platform for simulating SARS-CoV-2 infection to enable drug discovery and repurposing. Stem Cells Translational Medicine. 10(2). 239–250. 20 indexed citations
8.
Danter, Wayne R.. (2019). DeepNEU: cellular reprogramming comes of age – a machine learning platform with application to rare diseases research. Orphanet Journal of Rare Diseases. 14(1). 13–13. 22 indexed citations
9.
10.
Vareki, Saman Maleki, et al.. (2017). Abstract A25: COTI-2, a novel small molecule that is effective against multiple human cancer cell lines in vitro and in vivo. Clinical Cancer Research. 23(1_Supplement). A25–A25. 1 indexed citations
11.
Vareki, Saman Maleki, et al.. (2016). COTI-2, a novel small molecule that is active against multiple human cancer cell linesin vitroandin vivo. Oncotarget. 7(27). 41363–41379. 130 indexed citations
12.
Vareki, Saman Maleki, et al.. (2016). COTI-2, a new anticancer drug currently under clinical investigation, targets mutant p53 and negatively modulates the PI3K/AKT/mTOR pathway. European Journal of Cancer. 69. S19–S19. 21 indexed citations
13.
Danter, Wayne R., et al.. (2000). Molecular data mining tool: advances in HIV research. 14(5). 31. 1 indexed citations
14.
Wisenberg, Gerald, et al.. (2000). GENDER DIFFERENCES IN ANXIETY, DEPRESSION AND QUALITY OF LIFE AMONG CARDIAC REHABILITATION (CR) PARTICIPANTS.. Journal of Cardiopulmonary Rehabilitation. 20(5). 307–307. 1 indexed citations
15.
Danter, Wayne R., et al.. (1999). Neural Network Prediction of Obstructive Sleep Apnea From Clinical Criteria. CHEST Journal. 116(2). 409–415. 76 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026