Tina Garyantes
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Biomedical Engineering
- Organic Chemistry
- Materials Chemistry
- Co-authors
- Martyn BanksDarren V. S. GreenDragan A. CirovicDejan BojanicG. Sitta SittampalamJeff W. PaslayWilliam P. JanzenDavid Burns
- Topics
- Estrogen and related hormone effects (4 papers)Immunotherapy and Immune Responses (4 papers)Computational Drug Discovery Methods (2 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaNature Reviews Drug Discovery
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Tina Garyantes
14 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 734
- Computational Theory and Mathematics 390
- Biomedical Engineering 155
- Organic Chemistry 145
- Materials Chemistry 121
Countries citing papers authored by Tina Garyantes
This map shows the geographic impact of Tina Garyantes'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 Tina Garyantes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina Garyantes more than expected).
Fields of papers citing papers by Tina Garyantes
This network shows the impact of papers produced by Tina Garyantes. 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 Tina Garyantes. The network helps show where Tina Garyantes may publish in the future.
Co-authorship network of co-authors of Tina Garyantes
This figure shows the co-authorship network connecting the top 25 collaborators of Tina Garyantes. A scholar is included among the top collaborators of Tina Garyantes 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 Tina Garyantes. Tina Garyantes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 126 | |
| 10 | Assay Development Guidelines for Image-Based High Content Screening, High Content Analysis and High Content Imaging | 53 |
| 11 | Impact of high-throughput screening in biomedical researchbreakdown → | 920 |
| 12 | 9 | |
| 13 | 45 | |
| 14 | 14 | |
| 15 | 59 | |
| 16 | 11 |
About Tina Garyantes
Tina Garyantes is a scholar working on Biophysics, Immunology and Ophthalmology, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Immunotherapy and Immune Responses (4 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Computational Theory and Mathematics (390 citations), Biophysics (110 citations) and Molecular Biology (734 citations). Tina Garyantes has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Martyn Banks, Darren V. S. Green, Dragan A. Cirovic, Dejan Bojanic, G. Sitta Sittampalam, Jeff W. Paslay, William P. Janzen, David Burns, Robert Hertzberg and Ricardo Macarrón. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Nature Reviews Drug Discovery.
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.