Dawn Maynard
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
- Hematology top 2%
- Platelet Disorders and Treatments
Papers in
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- Advanced Proteomics Techniques and Applications 6
- Analytical Chemistry and Chromatography 2
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- Platelet Disorders and Treatments 4
- Co-authors
- Jeffrey A. Kowalak (5 shared papers)Sanford P. Markey (5 shared papers)Xiaoyu Yang (3 shared papers)Lewis Y. Geer (3 shared papers)Ming qing Xu (2 shared papers)Stephen H. Bryant (2 shared papers)Lukas Wagner (1 shared paper)Wenyao Shi (1 shared paper)
- Journals
- Journal of Proteome Research (3 papers)Journal of Thrombosis and Haemostasis (2 papers)FEBS Letters (2 papers)Oncotarget (1 paper)Gut (1 paper)
- Partner nations
- United StatesBelgiumFrance
In The Last Decade
Dawn Maynard
22 papers receiving 2.6k citations
Dawn Maynard's Hit Papers
Peers
Comparison fields: 5 of 108
- Spectroscopy 1.1k
- Hematology 409
- Genetics 100
- Oncology 211
- Cell Biology 127
Countries citing papers authored by Dawn Maynard
This map shows the geographic impact of Dawn Maynard'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 Dawn Maynard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawn Maynard more than expected).
Fields of papers citing papers by Dawn Maynard
This network shows the impact of papers produced by Dawn Maynard. 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 Dawn Maynard. The network helps show where Dawn Maynard may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawn Maynard, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Open Mass Spectrometry Search Algorithm Hit paper breakdown → | 2004 | 1201 |
| 2 | 2007 | 263 | |
| 3 | 2011 | 203 | |
| 4 | 2010 | 199 | |
| 5 | 2012 | 149 | |
| 6 | 2014 | 125 | |
| 7 | 2012 | 89 | |
| 8 | 2004 | 79 | |
| 9 | 2010 | 79 | |
| 10 | 2011 | 63 | |
| 11 | 2002 | 60 | |
| 12 | 2004 | 39 | |
| 13 | 2017 | 29 | |
| 14 | 2005 | 28 | |
| 15 | 2004 | 27 | |
| 16 | 2012 | 23 | |
| 17 | 2010 | 22 | |
| 18 | 2017 | 16 | |
| 19 | 2006 | 6 | |
| 20 | 2022 | 6 |
About Dawn Maynard
Dawn Maynard is a scholar working on Spectroscopy, Hematology, Cell Biology, Oncology and Cancer Research, having authored 23 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Platelet Disorders and Treatments (4 papers), Cancer Cells and Metastasis (3 papers), Cellular transport and secretion (3 papers), Cancer, Lipids, and Metabolism (3 papers), Analytical Chemistry and Chromatography (2 papers), Lysosomal Storage Disorders Research (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Spectroscopy (1.1k citations), Hematology (409 citations), Genetics (100 citations), Oncology (211 citations) and Cell Biology (127 citations). Dawn Maynard has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Jeffrey A. Kowalak, Sanford P. Markey, Xiaoyu Yang, Lewis Y. Geer, Ming qing Xu, Stephen H. Bryant, Lukas Wagner, Wenyao Shi, William Allen Gahl and Harry F.G. Heijnen. Their work appears in journals such as Journal of Proteome Research, Journal of Thrombosis and Haemostasis, FEBS Letters, Oncotarget and Gut.
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.