Brad T. Sherman
- Molecular Biology top 0.01%
- Cancer Research top 0.02%
- Genetics top 0.05%
- Immunology top 0.1%
- Oncology top 0.2%
- Co-authors
- Richard A. LempickiDa Wei HuangH. Clifford LaneDouglas A HosackGlynn DennisWei GaoJun YangMichael Baseler
- Topics
- Bioinformatics and Genomic Networks (17 papers)Gene expression and cancer classification (15 papers)HIV Research and Treatment (11 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Investigation
- Partner nations
- United StatesAustraliaDenmark
In The Last Decade
Brad T. Sherman
42 papers receiving 59.1k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Molecular Biology 37.7k
- Cancer Research 11.4k
- Genetics 7.7k
- Immunology 7.0k
- Oncology 5.1k
Countries citing papers authored by Brad T. Sherman
This map shows the geographic impact of Brad T. Sherman'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 T. Sherman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brad T. Sherman more than expected).
Fields of papers citing papers by Brad T. Sherman
This network shows the impact of papers produced by Brad T. Sherman. 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 T. Sherman. The network helps show where Brad T. Sherman may publish in the future.
Co-authorship network of co-authors of Brad T. Sherman
This figure shows the co-authorship network connecting the top 25 collaborators of Brad T. Sherman. A scholar is included among the top collaborators of Brad T. Sherman 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 Brad T. Sherman. Brad T. Sherman 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 | DAVID: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update)breakdown → | 3221 |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 121 | |
| 6 | 29 | |
| 7 | 11 | |
| 8 | 36 | |
| 9 | 30 | |
| 10 | 7 | |
| 11 | 12 | |
| 12 | 75 | |
| 13 | 19 | |
| 14 | 353 | |
| 15 | Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene listsbreakdown → | 11060 |
| 16 | Systematic and integrative analysis of large gene lists using DAVID bioinformatics resourcesbreakdown → | 28043 |
| 17 | 440 | |
| 18 | DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene listsbreakdown → | 1693 |
| 19 | The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene listsbreakdown → | 1804 |
| 20 | Identifying biological themes within lists of genes with EASEbreakdown → | 1658 |
About Brad T. Sherman
Brad T. Sherman is a scholar working on Virology, Infectious Diseases and Cancer Research, having authored 43 papers that have together received 59.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (15 papers) and HIV Research and Treatment (11 papers). The work is most often cited by research in Cancer Research (11.4k citations), Aging (1.0k citations) and Molecular Biology (37.7k citations). Brad T. Sherman has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Richard A. Lempicki, Da Wei Huang, H. Clifford Lane, Douglas A Hosack, Glynn Dennis, Wei Gao, Jun Yang, Michael Baseler, Xiaoli Jiao and Tomozumi Imamichi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.
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.