Margaret M. Mc Gee
- Cancer Research top 5%
- Molecular Biology top 5%
- Extracellular vesicles in disease 8
- Cancer therapeutics and mechanisms 6
- Signaling Pathways in Disease 6
- Cell death mechanisms and regulation 3
- Immunology top 10%
- Cell Biology top 10%
- Microtubule and mitosis dynamics 7
- Oncology top 10%
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- Synthesis and pharmacology of benzodiazepine derivatives 6
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- Pregnancy and preeclampsia studies 2
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- Multiple Myeloma Research and Treatments 2
- Co-authors
- Kieran BrennanAlfonso BlancoYunjie WuCiarán RichardsonKatrin MartinJeff O’SullivanS. P. FitzgeraldDaniela M. Zisterer
- Partner nations
- IrelandUnited StatesItaly
In The Last Decade
Margaret M. Mc Gee
38 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cancer Research 435
- Molecular Biology 1.3k
- Immunology 228
- Cell Biology 171
- Oncology 261
Countries citing papers authored by Margaret M. Mc Gee
This map shows the geographic impact of Margaret M. Mc Gee'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 Margaret M. Mc Gee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret M. Mc Gee more than expected).
Fields of papers citing papers by Margaret M. Mc Gee
This network shows the impact of papers produced by Margaret M. Mc Gee. 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 Margaret M. Mc Gee. The network helps show where Margaret M. Mc Gee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Margaret M. Mc Gee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 4 | |
| 3 | 2024 | 6 | |
| 4 | 2022 | 12 | |
| 5 | 2021 | 4 | |
| 6 | A comparison of methods for the isolation and separation of extracellular vesicles from protein and lipid particles in human serumbreakdown → | 2020 | 641 |
| 7 | 2016 | 33 | |
| 8 | 2015 | 166 | |
| 9 | 2014 | 145 | |
| 10 | 2012 | 24 | |
| 11 | 2009 | 10 | |
| 12 | 2007 | 47 | |
| 13 | 2006 | 52 | |
| 14 | 2006 | 11 | |
| 15 | 2004 | 28 | |
| 16 | 2002 | 95 | |
| 17 | 2001 | 7 | |
| 18 | 1998 | 73 | |
| 19 | 1997 | 79 | |
| 20 | 1971 | 3 |
About Margaret M. Mc Gee
Margaret M. Mc Gee is a scholar working on Cell Biology, Molecular Biology and Immunology, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (8 papers), Microtubule and mitosis dynamics (7 papers), Cancer therapeutics and mechanisms (6 papers), Synthesis and pharmacology of benzodiazepine derivatives (6 papers), Signaling Pathways in Disease (6 papers), Cell death mechanisms and regulation (3 papers), Pregnancy and preeclampsia studies (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Cancer Research (435 citations), Molecular Biology (1.3k citations) and Immunology (228 citations). Margaret M. Mc Gee has collaborated with scholars based in Ireland, United States and Italy. Frequent co-authors include Kieran Brennan, Alfonso Blanco, Yunjie Wu, Ciarán Richardson, Katrin Martin, Jeff O’Sullivan, S. P. Fitzgerald, Daniela M. Zisterer, Giuseppe Campiani and W. Eugene Knox. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.
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.