Lenore Pipes
Impact in
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- Environmental DNA in Biodiversity Studies
- Microbial Community Ecology and Physiology
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 3
- Machine Learning in Bioinformatics 2
- RNA Research and Splicing 2
- CRISPR and Genetic Engineering 2
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- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Rasmus Nielsen (5 shared papers)Hongru Wang (2 shared papers)Paula P. Veldhuis (1 shared paper)William S. Evans (1 shared paper)Michael G. Katze (4 shared papers)Christopher E. Mason (6 shared papers)Michael L. Johnson (1 shared paper)David G. Boyd (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)eLife (1 paper)Journal of Medical Primatology (1 paper)The Journal of Comparative Neurology (1 paper)Molecular Biology and Evolution (1 paper)
- Partner nations
- United StatesDenmarkChina
In The Last Decade
Lenore Pipes
14 papers receiving 381 citations
Peers
Comparison fields: 5 of 89
- Ecology 98
- Infectious Diseases 68
- Modeling and Simulation 16
- Molecular Biology 198
- Virology 13
Countries citing papers authored by Lenore Pipes
This map shows the geographic impact of Lenore Pipes'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 Lenore Pipes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lenore Pipes more than expected).
Fields of papers citing papers by Lenore Pipes
This network shows the impact of papers produced by Lenore Pipes. 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 Lenore Pipes. The network helps show where Lenore Pipes may publish in the future.
Co-authors
The 25 scholars most cited alongside Lenore Pipes, 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 | 2019 | 79 | |
| 2 | 2012 | 52 | |
| 3 | 2018 | 51 | |
| 4 | 2020 | 49 | |
| 5 | 2008 | 49 | |
| 6 | 2014 | 48 | |
| 7 | 2020 | 28 | |
| 8 | 2014 | 8 | |
| 9 | 2021 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2014 | 3 | |
| 12 | 2015 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2013 | 1 |
About Lenore Pipes
Lenore Pipes is a scholar working on Molecular Biology, Infectious Diseases, Ecology, Genetics and Cancer Research, having authored 14 papers that have together received 384 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Cancer-related molecular mechanisms research (3 papers), Microbial Community Ecology and Physiology (3 papers), Machine Learning in Bioinformatics (2 papers), RNA Research and Splicing (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Ecology (98 citations), Infectious Diseases (68 citations), Modeling and Simulation (16 citations), Molecular Biology (198 citations) and Virology (13 citations). Lenore Pipes has collaborated with scholars based in United States, Denmark and China. Frequent co-authors include Rasmus Nielsen, Hongru Wang, Paula P. Veldhuis, William S. Evans, Michael G. Katze, Christopher E. Mason, Michael L. Johnson, David G. Boyd, Leon S. Farhy and Xinxia Peng. Their work appears in journals such as Nucleic Acids Research, eLife, Journal of Medical Primatology, The Journal of Comparative Neurology and Molecular Biology and Evolution.
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.