Lauren S. Maeda
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- Lymphoma Diagnosis and Treatment 17
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment 4
- Neurology top 5%
- CNS Lymphoma Diagnosis and Treatment 7
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 5
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- CAR-T cell therapy research 6
- Viral-associated cancers and disorders 4
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- Lung Cancer Treatments and Mutations 6
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- DNA Repair Mechanisms 4
- Co-authors
- Philip C. HanawaltSilvia TornalettiViswam S. NairJohn P. A. IoannidisFelix GrünDavid M. GardinerTaisen IguchiHajime Watanabe
- Journals
- New England Journal of Medicine (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Oncology (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Lauren S. Maeda
30 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Pathology and Forensic Medicine 429
- Health, Toxicology and Mutagenesis 319
- Cancer Research 248
- Neurology 206
- Genetics 127
Countries citing papers authored by Lauren S. Maeda
This map shows the geographic impact of Lauren S. Maeda'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 Lauren S. Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren S. Maeda more than expected).
Fields of papers citing papers by Lauren S. Maeda
This network shows the impact of papers produced by Lauren S. Maeda. 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 Lauren S. Maeda. The network helps show where Lauren S. Maeda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lauren S. Maeda, 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 | 2022 | 27 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 1 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 1 | |
| 6 | 2018 | 6 | |
| 7 | 2013 | 337 | |
| 8 | 2012 | 179 | |
| 9 | 2012 | 1 | |
| 10 | 2012 | 11 | |
| 11 | 2011 | 4 | |
| 12 | 2011 | 11 | |
| 13 | 2010 | 9 | |
| 14 | 2010 | 1 | |
| 15 | 2009 | 12 | |
| 16 | 2006 | 479 | |
| 17 | 2006 | 18 | |
| 18 | 2004 | 121 | |
| 19 | 2001 | 82 | |
| 20 | Hidroxiapatita microgranular: comportamento biologico em tecido subcutaneo de ratos | 1993 | 2 |
About Lauren S. Maeda
Lauren S. Maeda is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (17 papers), CNS Lymphoma Diagnosis and Treatment (7 papers), CAR-T cell therapy research (6 papers), Lung Cancer Treatments and Mutations (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), DNA Repair Mechanisms (4 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (429 citations), Health, Toxicology and Mutagenesis (319 citations) and Cancer Research (248 citations). Lauren S. Maeda has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Philip C. Hanawalt, Silvia Tornaletti, Viswam S. Nair, John P. A. Ioannidis, Felix Grün, David M. Gardiner, Taisen Iguchi, Hajime Watanabe, Zahra Zamanian and Kayo Arima. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.