Roger Kramer
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
- Escherichia coli research studies
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- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
Papers in
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- Single-cell and spatial transcriptomics 2
- Epigenetics and DNA Methylation 1
- Gene expression and cancer classification 1
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- Streptococcal Infections and Treatments 1
- Co-authors
- Cammie F. Lesser (2 shared papers)Joshua LaBaer (1 shared paper)Joseph Zhou (1 shared paper)Lasse Sinkkonen (1 shared paper)Stuart Kauffman (1 shared paper)Matti Nykter (1 shared paper)Sui Huang (2 shared papers)Richard Kreisberg (1 shared paper)
- Journals
- PLoS Pathogens (2 papers)Nature Methods (1 paper)Journal of Computational Biology (1 paper)Journal of the American Medical Informatics Association (1 paper)Leukemia (1 paper)
- Partner nations
- United StatesFinlandGermany
In The Last Decade
Roger Kramer
8 papers receiving 343 citations
Peers
Comparison fields: 5 of 79
- Endocrinology 55
- Molecular Biology 166
- Biophysics 11
- Periodontics 8
- Aging 3
Countries citing papers authored by Roger Kramer
This map shows the geographic impact of Roger Kramer'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 Roger Kramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roger Kramer more than expected).
Fields of papers citing papers by Roger Kramer
This network shows the impact of papers produced by Roger Kramer. 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 Roger Kramer. The network helps show where Roger Kramer may publish in the future.
Co-authors
The 25 scholars most cited alongside Roger Kramer, 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 | 2013 | 112 | |
| 2 | 2007 | 76 | |
| 3 | 2015 | 59 | |
| 4 | 2008 | 55 | |
| 5 | 2007 | 19 | |
| 6 | 2019 | 13 | |
| 7 | 2019 | 11 | |
| 8 | 2016 | 1 | |
| 9 | 2025 | 0 |
About Roger Kramer
Roger Kramer is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Endocrinology and Genetics, having authored 9 papers that have together received 346 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Escherichia coli research studies (2 papers), Folate and B Vitamins Research (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Epigenetics and DNA Methylation (1 paper), Streptococcal Infections and Treatments (1 paper), Gene expression and cancer classification (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Endocrinology (55 citations), Molecular Biology (166 citations), Biophysics (11 citations), Periodontics (8 citations) and Aging (3 citations). Roger Kramer has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Cammie F. Lesser, Joshua LaBaer, Joseph Zhou, Lasse Sinkkonen, Stuart Kauffman, Matti Nykter, Sui Huang, Richard Kreisberg, Anke Wienecke-Baldacchino and Ilya Shmulevich. Their work appears in journals such as PLoS Pathogens, Nature Methods, Journal of Computational Biology, Journal of the American Medical Informatics Association and Leukemia.
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.