Dixy E. Green
Impact in
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research
- Organic Chemistry top 10%
- Carbohydrate Chemistry and Synthesis
Papers in
-
- Glycosylation and Glycoproteins Research 12
- Fibroblast Growth Factor Research 4
- Cell Biology 18
- Proteoglycans and glycosaminoglycans research 17
- Co-authors
- Paul L. DeAngelis (22 shared papers)Robert J. Linhardt (10 shared papers)Chandrashekhar D. Kamat (5 shared papers)Michael A. Ihnat (5 shared papers)Linda A. Warnke (4 shared papers)Sayaka Masuko (4 shared papers)Robert A. Field (1 shared paper)Martin Rejzek (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)The Journal of Organic Chemistry (4 papers)Nano Letters (2 papers)Glycobiology (2 papers)Cancer Letters (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Dixy E. Green
27 papers receiving 693 citations
Peers
Comparison fields: 5 of 86
- Cell Biology 296
- Organic Chemistry 194
- Molecular Biology 429
- Cancer Research 71
- Biotechnology 36
Countries citing papers authored by Dixy E. Green
This map shows the geographic impact of Dixy E. Green'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 Dixy E. Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dixy E. Green more than expected).
Fields of papers citing papers by Dixy E. Green
This network shows the impact of papers produced by Dixy E. Green. 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 Dixy E. Green. The network helps show where Dixy E. Green may publish in the future.
Co-authors
The 25 scholars most cited alongside Dixy E. Green, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 85 | |
| 2 | 2005 | 63 | |
| 3 | 2011 | 59 | |
| 4 | 2006 | 48 | |
| 5 | 2014 | 46 | |
| 6 | 2022 | 45 | |
| 7 | 2016 | 42 | |
| 8 | 2012 | 37 | |
| 9 | 2021 | 26 | |
| 10 | 2014 | 25 | |
| 11 | 2022 | 24 | |
| 12 | 2017 | 24 | |
| 13 | 2008 | 20 | |
| 14 | 2017 | 20 | |
| 15 | 2007 | 20 | |
| 16 | 2017 | 18 | |
| 17 | 2022 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2004 | 12 | |
| 20 | 2017 | 11 |
About Dixy E. Green
Dixy E. Green is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Biomedical Engineering and Oncology, having authored 27 papers that have together received 698 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (17 papers), Glycosylation and Glycoproteins Research (12 papers), Carbohydrate Chemistry and Synthesis (8 papers), Fibroblast Growth Factor Research (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Advanced Fiber Optic Sensors (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Acoustic Wave Resonator Technologies (2 papers). The work is most often cited by research in Cell Biology (296 citations), Organic Chemistry (194 citations), Molecular Biology (429 citations), Cancer Research (71 citations) and Biotechnology (36 citations). Dixy E. Green has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Paul L. DeAngelis, Robert J. Linhardt, Chandrashekhar D. Kamat, Michael A. Ihnat, Linda A. Warnke, Sayaka Masuko, Robert A. Field, Martin Rejzek, Xing Zhang and Antonio Ceriello. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Organic Chemistry, Nano Letters, Glycobiology and Cancer Letters.
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.