Monica C. Sleumer
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Gene expression and cancer classification 3
- CRISPR and Genetic Engineering 3
- Bioinformatics and Genomic Networks 2
- Machine Learning in Bioinformatics 2
- Genomics and Chromatin Dynamics 2
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
- Co-authors
- Steven J.M. Jones (8 shared papers)Robert A. Holt (2 shared papers)Donald G. Moerman (2 shared papers)Marco A. Marra (2 shared papers)Oliver Hobert (1 shared paper)Adam H. Lorch (1 shared paper)Richard Zapf (1 shared paper)John F. Etchberger (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Genome Research (1 paper)ACM Transactions on Information Systems (1 paper)Developmental Biology (1 paper)BMC Genomics (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Monica C. Sleumer
10 papers receiving 442 citations
Peers
Comparison fields: 5 of 75
- Aging 223
- Endocrine and Autonomic Systems 75
- Molecular Biology 273
- Cellular and Molecular Neuroscience 34
- Cancer Research 26
Countries citing papers authored by Monica C. Sleumer
This map shows the geographic impact of Monica C. Sleumer'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 Monica C. Sleumer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica C. Sleumer more than expected).
Fields of papers citing papers by Monica C. Sleumer
This network shows the impact of papers produced by Monica C. Sleumer. 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 Monica C. Sleumer. The network helps show where Monica C. Sleumer may publish in the future.
Co-authors
The 25 scholars most cited alongside Monica C. Sleumer, 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 | 2006 | 140 | |
| 2 | 2007 | 139 | |
| 3 | 2006 | 80 | |
| 4 | 2004 | 23 | |
| 5 | Hierarchical Cluster analysis of SAGE data for cancer profiling | 2001 | 16 |
| 6 | 2016 | 16 | |
| 7 | 2009 | 13 | |
| 8 | 2012 | 10 | |
| 9 | 2005 | 9 | |
| 10 | 2010 | 2 | |
| 11 | 2006 | 1 |
About Monica C. Sleumer
Monica C. Sleumer is a scholar working on Molecular Biology, Aging, Genetics, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 11 papers that have together received 449 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Gene expression and cancer classification (3 papers), CRISPR and Genetic Engineering (3 papers), Animal Genetics and Reproduction (2 papers), Bioinformatics and Genomic Networks (2 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Chromatin Dynamics (2 papers) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Aging (223 citations), Endocrine and Autonomic Systems (75 citations), Molecular Biology (273 citations), Cellular and Molecular Neuroscience (34 citations) and Cancer Research (26 citations). Monica C. Sleumer has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Steven J.M. Jones, Robert A. Holt, Donald G. Moerman, Marco A. Marra, Oliver Hobert, Adam H. Lorch, Richard Zapf, John F. Etchberger, Mikhail Bilenky and Stephen B. Montgomery. Their work appears in journals such as Nucleic Acids Research, Genome Research, ACM Transactions on Information Systems, Developmental Biology and BMC Genomics.
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.