Nancy Maizels
Impact in
- Molecular Biology top 0.5%
- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
- Advanced biosensing and bioanalysis techniques
- DNA Repair Mechanisms
- RNA Interference and Gene Delivery
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- RNA Research and Splicing
- Immunology top 2%
Papers in
- Immunology 35
- T-cell and B-cell Immunology 27
- Immune Cell Function and Interaction 16
-
- DNA Repair Mechanisms 37
- RNA and protein synthesis mechanisms 32
- CRISPR and Genetic Engineering 26
- DNA and Nucleic Acid Chemistry 22
- RNA Interference and Gene Delivery 16
- Genomics and Chromatin Dynamics 16
- Co-authors
- Alan M. WeinerLucas T. GrayHui SunMichelle L. DuquetteLeslyn A. HanakahiLuther DavisIan D. HicksonJulia Karow
- Journals
- Proceedings of the National Academy of Sciences (15 papers)Nucleic Acids Research (11 papers)Journal of Biological Chemistry (9 papers)Cell (8 papers)PLoS ONE (6 papers)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Nancy Maizels
130 papers receiving 8.7k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 7.8k
- Immunology 1.1k
- Aging 64
- Genetics 889
- Cancer Research 460
Countries citing papers authored by Nancy Maizels
This map shows the geographic impact of Nancy Maizels'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 Nancy Maizels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy Maizels more than expected).
Fields of papers citing papers by Nancy Maizels
This network shows the impact of papers produced by Nancy Maizels. 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 Nancy Maizels. The network helps show where Nancy Maizels may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy Maizels, 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 | 2023 | 7 | |
| 2 | 2021 | 8 | |
| 3 | 2019 | 3 | |
| 4 | 2013 | 54 | |
| 5 | 2010 | 19 | |
| 6 | 2009 | 19 | |
| 7 | 2007 | 57 | |
| 8 | 2006 | 430 | |
| 9 | 2006 | 351 | |
| 10 | 2005 | 93 | |
| 11 | 2005 | 62 | |
| 12 | 2004 | 443 | |
| 13 | 2000 | 78 | |
| 14 | 2000 | 1 | |
| 15 | 1999 | 26 | |
| 16 | 1999 | 194 | |
| 17 | 1998 | 38 | |
| 18 | 1994 | 36 | |
| 19 | 1994 | 22 | |
| 20 | 1993 | 37 |
About Nancy Maizels
Nancy Maizels is a scholar working on Immunology, Molecular Biology, Genetics, Biotechnology and Oncology, having authored 130 papers that have together received 8.9k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (37 papers), RNA and protein synthesis mechanisms (32 papers), T-cell and B-cell Immunology (27 papers), CRISPR and Genetic Engineering (26 papers), DNA and Nucleic Acid Chemistry (22 papers), RNA Interference and Gene Delivery (16 papers), Genomics and Chromatin Dynamics (16 papers) and Immune Cell Function and Interaction (16 papers). The work is most often cited by research in Molecular Biology (7.8k citations), Immunology (1.1k citations), Aging (64 citations), Genetics (889 citations) and Cancer Research (460 citations). Nancy Maizels has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Alan M. Weiner, Lucas T. Gray, Hui Sun, Michelle L. Duquette, Leslyn A. Hanakahi, Luther Davis, Ian D. Hickson, Julia Karow, Laurie A. Dempsey and Priya Handa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research, Journal of Biological Chemistry, Cell 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.