Peggy S. Eis
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 2%
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
Papers in
-
- DNA and Nucleic Acid Chemistry 8
- Advanced biosensing and bioanalysis techniques 7
- Congenital heart defects research 5
- RNA and protein synthesis mechanisms 4
- Genetics 10
- Genomic variations and chromosomal abnormalities 10
- Co-authors
- James E. Dahlberg (2 shared papers)Amy Chadburn (1 shared paper)Wayne Tam (1 shared paper)Mario Gómez (1 shared paper)Zongdong Li (1 shared paper)Elsebet Lund (1 shared paper)Liping Sun (1 shared paper)Rebecca R. Selzer (7 shared papers)
- Journals
- Frontiers in Neurology (3 papers)Nucleic Acids Research (2 papers)PLoS Genetics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Fluorescence (2 papers)
- Partner nations
- United StatesPolandSwitzerland
In The Last Decade
Peggy S. Eis
34 papers receiving 3.4k citations
Peggy S. Eis's Hit Papers
Peers
Comparison fields: 5 of 123
- Cancer Research 906
- Genetics 1.0k
- Molecular Biology 2.2k
- Developmental Neuroscience 85
- Sensory Systems 56
Countries citing papers authored by Peggy S. Eis
This map shows the geographic impact of Peggy S. Eis'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 Peggy S. Eis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peggy S. Eis more than expected).
Fields of papers citing papers by Peggy S. Eis
This network shows the impact of papers produced by Peggy S. Eis. 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 Peggy S. Eis. The network helps show where Peggy S. Eis may publish in the future.
Co-authors
The 25 scholars most cited alongside Peggy S. Eis, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Accumulation of miR-155 and BIC RNA in human B cell lymphomas Hit paper breakdown → | 2005 | 1085 |
| 2 | 2006 | 428 | |
| 3 | 1988 | 387 | |
| 4 | 2005 | 206 | |
| 5 | 2000 | 192 | |
| 6 | 2006 | 182 | |
| 7 | 2012 | 145 | |
| 8 | 2007 | 142 | |
| 9 | 2007 | 129 | |
| 10 | 1993 | 98 | |
| 11 | 2009 | 88 | |
| 12 | 1994 | 65 | |
| 13 | 2001 | 52 | |
| 14 | 2002 | 52 | |
| 15 | 1993 | 48 | |
| 16 | 1997 | 38 | |
| 17 | 2018 | 26 | |
| 18 | 1991 | 21 | |
| 19 | 2008 | 21 | |
| 20 | 2003 | 18 |
About Peggy S. Eis
Peggy S. Eis is a scholar working on Molecular Biology, Genetics, Plant Science, Atomic and Molecular Physics, and Optics and Oncology, having authored 34 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (10 papers), DNA and Nucleic Acid Chemistry (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), Chromosomal and Genetic Variations (6 papers), Congenital heart defects research (5 papers), RNA and protein synthesis mechanisms (4 papers), Spectroscopy and Quantum Chemical Studies (4 papers) and Photochemistry and Electron Transfer Studies (3 papers). The work is most often cited by research in Cancer Research (906 citations), Genetics (1.0k citations), Molecular Biology (2.2k citations), Developmental Neuroscience (85 citations) and Sensory Systems (56 citations). Peggy S. Eis has collaborated with scholars based in United States, Poland and Switzerland. Frequent co-authors include James E. Dahlberg, Amy Chadburn, Wayne Tam, Mario Gómez, Zongdong Li, Elsebet Lund, Liping Sun, Rebecca R. Selzer, Julienne M. Mullaney and Tarun Kanti Ghosh. Their work appears in journals such as Frontiers in Neurology, Nucleic Acids Research, PLoS Genetics, Proceedings of the National Academy of Sciences and Journal of Fluorescence.
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.