Brad Solomon
Impact in
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- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
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- Algorithms and Data Compression
Papers in
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- Genomics and Phylogenetic Studies 2
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- Caching and Content Delivery 2
- Error Correcting Code Techniques 1
- Co-authors
- Carl Kingsford (3 shared papers)Ben Langmead (2 shared papers)Nae-Chyun Chen (1 shared paper)Jeffrey T. Leek (1 shared paper)Christopher Wilks (1 shared paper)Anne Reeler (1 shared paper)Shijie Zheng (1 shared paper)Karol Sikora (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Genome biology (2 papers)Endocrinology (1 paper)Journal of Computational Biology (1 paper)Clinical Oncology (1 paper)
- Partner nations
- United StatesUnited KingdomEthiopia
In The Last Decade
Brad Solomon
11 papers receiving 328 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 239
- Artificial Intelligence 70
- Cancer Research 32
- Genetics 52
- Computer Networks and Communications 31
Countries citing papers authored by Brad Solomon
This map shows the geographic impact of Brad Solomon'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 Brad Solomon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brad Solomon more than expected).
Fields of papers citing papers by Brad Solomon
This network shows the impact of papers produced by Brad Solomon. 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 Brad Solomon. The network helps show where Brad Solomon may publish in the future.
Co-authors
The 25 scholars most cited alongside Brad Solomon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 114 | |
| 2 | 2016 | 74 | |
| 3 | 2021 | 49 | |
| 4 | 2018 | 26 | |
| 5 | 2008 | 24 | |
| 6 | 2019 | 24 | |
| 7 | 1974 | 8 | |
| 8 | 2024 | 5 | |
| 9 | 2018 | 3 | |
| 10 | 2006 | 3 | |
| 11 | 2010 | 1 |
About Brad Solomon
Brad Solomon is a scholar working on Molecular Biology, Computer Networks and Communications, Oncology, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 331 indexed citations. Recurring topics across this work include Algorithms and Data Compression (3 papers), Caching and Content Delivery (2 papers), Genomics and Phylogenetic Studies (2 papers), Head and Neck Cancer Studies (1 paper), Cancer Genomics and Diagnostics (1 paper), Genetic Associations and Epidemiology (1 paper), Error Correcting Code Techniques (1 paper) and Magnesium in Health and Disease (1 paper). The work is most often cited by research in Molecular Biology (239 citations), Artificial Intelligence (70 citations), Cancer Research (32 citations), Genetics (52 citations) and Computer Networks and Communications (31 citations). Brad Solomon has collaborated with scholars based in United States, United Kingdom and Ethiopia. Frequent co-authors include Carl Kingsford, Ben Langmead, Nae-Chyun Chen, Jeffrey T. Leek, Christopher Wilks, Anne Reeler, Shijie Zheng, Karol Sikora, Kasper D. Hansen and Eddie L. Imada. Their work appears in journals such as Journal of Clinical Oncology, Genome biology, Endocrinology, Journal of Computational Biology and 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.