Gail A. Workman
Impact in
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- Neuroscience and Neuropharmacology Research
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Proteoglycans and glycosaminoglycans research 6
- Cellular transport and secretion 3
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- Bone and Dental Protein Studies 7
- Co-authors
- E. Helene Sage (14 shared papers)Matt S. Weaver (4 shared papers)Laura Conatser (1 shared paper)Ben A. Barres (1 shared paper)Çağla Eroğlu (1 shared paper)Hakan Kucukdereli (1 shared paper)Nicola J. Allen (1 shared paper)Anthony T. Lee (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Journal of Histochemistry & Cytochemistry (4 papers)Matrix Biology (3 papers)Journal of Cellular Biochemistry (3 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesGermanyNew Zealand
In The Last Decade
Gail A. Workman
24 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 61
- Cellular and Molecular Neuroscience 180
- Developmental Neuroscience 28
- Neurology 69
- Cell Biology 121
- Rheumatology 139
Countries citing papers authored by Gail A. Workman
This map shows the geographic impact of Gail A. Workman'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 Gail A. Workman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail A. Workman more than expected).
Fields of papers citing papers by Gail A. Workman
This network shows the impact of papers produced by Gail A. Workman. 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 Gail A. Workman. The network helps show where Gail A. Workman may publish in the future.
Co-authors
The 25 scholars most cited alongside Gail A. Workman, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 503 | |
| 2 | 2005 | 181 | |
| 3 | 2003 | 173 | |
| 4 | 2006 | 151 | |
| 5 | 2008 | 102 | |
| 6 | 2014 | 80 | |
| 7 | 2008 | 74 | |
| 8 | 2004 | 55 | |
| 9 | 2016 | 55 | |
| 10 | 2004 | 38 | |
| 11 | 2006 | 32 | |
| 12 | 2009 | 29 | |
| 13 | 2009 | 25 | |
| 14 | 2011 | 24 | |
| 15 | 2011 | 22 | |
| 16 | 2015 | 21 | |
| 17 | 2016 | 21 | |
| 18 | 2005 | 19 | |
| 19 | 2020 | 11 | |
| 20 | 2020 | 7 |
About Gail A. Workman
Gail A. Workman is a scholar working on Cell Biology, Rheumatology, Reproductive Medicine, Cellular and Molecular Neuroscience and Nuclear Energy and Engineering, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bone and Dental Protein Studies (7 papers), Proteoglycans and glycosaminoglycans research (6 papers), Cellular transport and secretion (3 papers), Ovarian cancer diagnosis and treatment (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (180 citations), Developmental Neuroscience (28 citations), Neurology (69 citations), Cell Biology (121 citations) and Rheumatology (139 citations). Gail A. Workman has collaborated with scholars based in United States, Germany and New Zealand. Frequent co-authors include E. Helene Sage, Matt S. Weaver, Laura Conatser, Ben A. Barres, Çağla Eroğlu, Hakan Kucukdereli, Nicola J. Allen, Anthony T. Lee, Chandrani Chakraborty and Rolf A. Brekken. Their work appears in journals such as Journal of Biological Chemistry, Journal of Histochemistry & Cytochemistry, Matrix Biology, Journal of Cellular Biochemistry and The Journal of Immunology.
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.