Gil Alterovitz
- Molecular Biology top 10%
- Artificial Intelligence top 5%
- Genetics
- Pulmonary and Respiratory Medicine
- Health Information Management top 1%
- Topics
- Bioinformatics and Genomic Networks (19 papers)Gene expression and cancer classification (18 papers)Machine Learning in Bioinformatics (8 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Oncology
- Partner nations
- United StatesChinaCyprus
In The Last Decade
Gil Alterovitz
101 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 169
- Molecular Biology 720
- Artificial Intelligence 367
- Genetics 176
- Pulmonary and Respiratory Medicine 144
- Health Information Management 125
Countries citing papers authored by Gil Alterovitz
This map shows the geographic impact of Gil Alterovitz'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 Gil Alterovitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gil Alterovitz more than expected).
Fields of papers citing papers by Gil Alterovitz
This network shows the impact of papers produced by Gil Alterovitz. 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 Gil Alterovitz. The network helps show where Gil Alterovitz may publish in the future.
Co-authorship network of co-authors of Gil Alterovitz
This figure shows the co-authorship network connecting the top 25 collaborators of Gil Alterovitz. A scholar is included among the top collaborators of Gil Alterovitz 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 Gil Alterovitz. Gil Alterovitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 16 | |
| 11 | 3 | |
| 12 | Cut to the Chase: No Nonsense Guidelines for Blockchain Startups | 1 |
| 13 | 6 | |
| 14 | 8 | |
| 15 | 31 | |
| 16 | Analytic Approaches to Phenotypic Complexity. | 1 |
| 17 | 18 | |
| 18 | Systems Bioinformatics: An Engineering Case-Based Approach | 18 |
| 19 | 2 | |
| 20 | 40 |
About Gil Alterovitz
Gil Alterovitz is a scholar working on Health Informatics, Otorhinolaryngology and Molecular Biology, having authored 107 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (19 papers), Gene expression and cancer classification (18 papers) and Machine Learning in Bioinformatics (8 papers). The work is most often cited by research in Health Informatics (45 citations), Health Information Management (125 citations) and Artificial Intelligence (367 citations). Gil Alterovitz has collaborated with scholars based in United States, China and Cyprus. Frequent co-authors include Ning An, Aiguo Wang, Marco Ramoni, Guilin Chen, Jeremy L. Warner, Lian Li, Lian Li, David Kreda, Michael Xiang and Jing Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.
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.