Dexter T. Duncan
- Molecular Biology top 10%
- Cancer Research top 5%
- Genetics top 10%
- Immunology
- Physiology
- Co-authors
- Bing ZhangZhiao ShiJing WangNaresh ProdduturiAndrew J. LinkJérôme JourquinJing LiMark J. Koury
- Topics
- Bioinformatics and Genomic Networks (5 papers)Advanced Proteomics Techniques and Applications (3 papers)Metabolomics and Mass Spectrometry Studies (2 papers)
- Partner nations
- United States
In The Last Decade
Dexter T. Duncan
12 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.1k
- Cancer Research 316
- Genetics 252
- Immunology 166
- Physiology 152
Countries citing papers authored by Dexter T. Duncan
This map shows the geographic impact of Dexter T. Duncan'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 Dexter T. Duncan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dexter T. Duncan more than expected).
Fields of papers citing papers by Dexter T. Duncan
This network shows the impact of papers produced by Dexter T. Duncan. 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 Dexter T. Duncan. The network helps show where Dexter T. Duncan may publish in the future.
Co-authorship network of co-authors of Dexter T. Duncan
This figure shows the co-authorship network connecting the top 25 collaborators of Dexter T. Duncan. A scholar is included among the top collaborators of Dexter T. Duncan 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 Dexter T. Duncan. Dexter T. Duncan 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 | WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013breakdown → | 1195 |
| 3 | 94 | |
| 4 | 24 | |
| 5 | 55 | |
| 6 | 129 | |
| 7 | The Structure of the New IT Frontier: Market Oriented Computing - Part II | 3 |
| 8 | 27 | |
| 9 | 55 | |
| 10 | 36 | |
| 11 | A BIOAUTOGRAPHIC SYSTEM EMPLOYING MAMMALIAN CELL STRAINS, AND ITS APPLICATION TO ANTITUMOR ANTIBIOTICS. | 5 |
| 12 | Variations in drug sensitivity among five mammalian cell lines used in an agar plate assay. | 4 |
About Dexter T. Duncan
Dexter T. Duncan is a scholar working on Spectroscopy, Microbiology and Molecular Biology, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Advanced Proteomics Techniques and Applications (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Cancer Research (316 citations), Molecular Biology (1.1k citations) and Biological Psychiatry (23 citations). Dexter T. Duncan has collaborated with scholars based in United States. Frequent co-authors include Bing Zhang, Zhiao Shi, Jing Wang, Naresh Prodduturi, Andrew J. Link, Jérôme Jourquin, Bing Zhang, Bing Zhang, Jing Li and Mark J. Koury. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and BMC Bioinformatics.
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.