Margaret E. McLaughlin
- Oncology top 1%
- Cancer-related Molecular Pathways 6
- Peptidase Inhibition and Analysis 4
- Molecular Biology top 1%
- Wnt/β-catenin signaling in development and cancer 5
- Retinal Development and Disorders 4
- Aging top 2%
- Cancer Research top 2%
- Genetics top 2%
- Glioma Diagnosis and Treatment 3
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- Neurofibromatosis and Schwannoma Cases 7
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- Chronic Myeloid Leukemia Treatments 5
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- Meningioma and schwannoma management 4
- Co-authors
- Tyler JacksJan GrimmDavid G. KirschJamie J. NewmanElizabeth E. ReczekRalph WeisslederDavid A. TuvesonLaura Lintault
- Cited by
- OncologyMolecular BiologyAging
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Cancer Research (4 papers)Nature (3 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Margaret E. McLaughlin
57 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Oncology 1.8k
- Molecular Biology 4.3k
- Aging 100
- Cancer Research 815
- Genetics 558
Countries citing papers authored by Margaret E. McLaughlin
This map shows the geographic impact of Margaret E. McLaughlin'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 E. McLaughlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret E. McLaughlin more than expected).
Fields of papers citing papers by Margaret E. McLaughlin
This network shows the impact of papers produced by Margaret E. McLaughlin. 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 E. McLaughlin. The network helps show where Margaret E. McLaughlin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Margaret E. McLaughlin, 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 | 2021 | 113 | |
| 2 | 2018 | 64 | |
| 3 | 2017 | 29 | |
| 4 | 2011 | 422 | |
| 5 | 2008 | 5 | |
| 6 | 2008 | 122 | |
| 7 | 2007 | 2 | |
| 8 | 2007 | 39 | |
| 9 | Restoration of p53 function leads to tumour regression in vivobreakdown → | 2007 | 1402 |
| 10 | 2006 | 120 | |
| 11 | 2004 | 11 | |
| 12 | 2004 | 176 | |
| 13 | 2003 | 19 | |
| 14 | 2003 | 6 | |
| 15 | 2002 | 12 | |
| 16 | 2002 | 26 | |
| 17 | 1993 | 457 | |
| 18 | 1993 | 27 | |
| 19 | 1993 | 12 | |
| 20 | 1988 | 18 |
About Margaret E. McLaughlin
Margaret E. McLaughlin is a scholar working on Space and Planetary Science, Hematology, Oncology, Neurology and Fluid Flow and Transfer Processes, having authored 58 papers that have together received 6.6k indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (7 papers), Cancer-related Molecular Pathways (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Peptidase Inhibition and Analysis (4 papers), Meningioma and schwannoma management (4 papers), Retinal Development and Disorders (4 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Oncology (1.8k citations), Molecular Biology (4.3k citations), Aging (100 citations), Cancer Research (815 citations) and Genetics (558 citations). Margaret E. McLaughlin has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Tyler Jacks, Jan Grimm, David G. Kirsch, Jamie J. Newman, Elizabeth E. Reczek, Ralph Weissleder, David A. Tuveson, Laura Lintault, Andrea Ventura and Eliot L. Berson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, Nature, Blood and Archives of Pathology & Laboratory Medicine.
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.