Gail Marracci
Impact in
- Biochemistry top 1%
- Biochemical Acid Research Studies
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
- Biochemistry 13
- Biochemical Acid Research Studies 13
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- Multiple Sclerosis Research Studies 9
- Co-authors
- Dennis Bourdette (25 shared papers)Priya Chaudhary (11 shared papers)Vijayshree Yadav (9 shared papers)Lynne Shinto (5 shared papers)Gabriel P McKeon (3 shared papers)Richard E. Jones (1 shared paper)Xiaolin Yu (3 shared papers)Jesús Lovera (3 shared papers)
- Journals
- Journal of Neuroimmunology (7 papers)Neurology (3 papers)Biochemical and Biophysical Research Communications (2 papers)Multiple Sclerosis Journal (2 papers)Virology (2 papers)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Gail Marracci
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Biochemistry 333
- Biological Psychiatry 86
- Pathology and Forensic Medicine 390
- Developmental Neuroscience 73
- Neurology 144
Countries citing papers authored by Gail Marracci
This map shows the geographic impact of Gail Marracci'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 Marracci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail Marracci more than expected).
Fields of papers citing papers by Gail Marracci
This network shows the impact of papers produced by Gail Marracci. 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 Marracci. The network helps show where Gail Marracci may publish in the future.
Co-authors
The 25 scholars most cited alongside Gail Marracci, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 182 | |
| 2 | 2002 | 121 | |
| 3 | 2005 | 121 | |
| 4 | 2016 | 115 | |
| 5 | 2006 | 84 | |
| 6 | 2019 | 74 | |
| 7 | 2009 | 57 | |
| 8 | 2011 | 52 | |
| 9 | 2010 | 48 | |
| 10 | 2007 | 45 | |
| 11 | 2004 | 43 | |
| 12 | 2008 | 43 | |
| 13 | 2011 | 42 | |
| 14 | 2011 | 37 | |
| 15 | 2016 | 34 | |
| 16 | 2012 | 28 | |
| 17 | 2021 | 26 | |
| 18 | 2020 | 24 | |
| 19 | 2015 | 21 | |
| 20 | 1995 | 18 |
About Gail Marracci
Gail Marracci is a scholar working on Biochemistry, Pathology and Forensic Medicine, Immunology, Molecular Biology and Neurology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biochemical Acid Research Studies (13 papers), Multiple Sclerosis Research Studies (9 papers), Macrophage Migration Inhibitory Factor (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Cytokine Signaling Pathways and Interactions (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), HIV Research and Treatment (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Biochemistry (333 citations), Biological Psychiatry (86 citations), Pathology and Forensic Medicine (390 citations), Developmental Neuroscience (73 citations) and Neurology (144 citations). Gail Marracci has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Dennis Bourdette, Priya Chaudhary, Vijayshree Yadav, Lynne Shinto, Gabriel P McKeon, Richard E. Jones, Xiaolin Yu, Jesús Lovera, Danielle Galipeau and Michael Forte. Their work appears in journals such as Journal of Neuroimmunology, Neurology, Biochemical and Biophysical Research Communications, Multiple Sclerosis Journal and Virology.
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.