Coryandar Gilvary
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Health Informatics top 1%
- Co-authors
- Olivier ElementoNeel S. MadhukarBhavneet BhinderJiayu ZhouSendong ZhaoMengying SunFei WangJamal Elkhader
- Topics
- Computational Drug Discovery Methods (3 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)Cholinesterase and Neurodegenerative Diseases (1 paper)
- Cited by
- Health InformaticsComputational Theory and MathematicsRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesIsrael
In The Last Decade
Coryandar Gilvary
5 papers receiving 734 citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 264
- Computational Theory and Mathematics 211
- Radiology, Nuclear Medicine and Imaging 210
- Artificial Intelligence 183
- Health Informatics 112
Countries citing papers authored by Coryandar Gilvary
This map shows the geographic impact of Coryandar Gilvary'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 Coryandar Gilvary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Coryandar Gilvary more than expected).
Fields of papers citing papers by Coryandar Gilvary
This network shows the impact of papers produced by Coryandar Gilvary. 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 Coryandar Gilvary. The network helps show where Coryandar Gilvary may publish in the future.
Co-authorship network of co-authors of Coryandar Gilvary
This figure shows the co-authorship network connecting the top 25 collaborators of Coryandar Gilvary. A scholar is included among the top collaborators of Coryandar Gilvary 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 Coryandar Gilvary. Coryandar Gilvary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Artificial Intelligence in Cancer Research and Precision Medicinebreakdown → | 417 |
| 2 | 14 | |
| 3 | 51 | |
| 4 | Graph convolutional networks for computational drug development and discoverybreakdown → | 271 |
| 5 | 4 |
About Coryandar Gilvary
Coryandar Gilvary is a scholar working on Health Informatics, Computational Theory and Mathematics and Pharmacology, having authored 5 papers that have together received 757 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Health Informatics (112 citations), Computational Theory and Mathematics (211 citations) and Radiology, Nuclear Medicine and Imaging (210 citations). Coryandar Gilvary has collaborated with scholars based in United States and Israel. Frequent co-authors include Olivier Elemento, Neel S. Madhukar, Bhavneet Bhinder, Jiayu Zhou, Sendong Zhao, Mengying Sun, Fei Wang, Jamal Elkhader, Marcus D. Goncalves and Claire Henchcliffe. Their work appears in journals such as Cancer Research, Trends in Pharmacological Sciences and PLoS Computational Biology.
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.