Jane Romm
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Forensic and Genetic Research
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- Cancer Genomics and Diagnostics
Papers in
-
- Epigenetics and DNA Methylation 1
- Gene expression and cancer classification 1
- Genetics 3
- Genetic Mapping and Diversity in Plants and Animals 2
- Genetic Associations and Epidemiology 2
- Genomics and Rare Diseases 1
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Kimberly F. Doheny (5 shared papers)Matthew Flickinger (1 shared paper)Kurt N. Hetrick (1 shared paper)Michael Boehnke (1 shared paper)Goo Jun (1 shared paper)Gonçalo R. Abecasis (1 shared paper)Hyun Min Kang (1 shared paper)Elizabeth Pugh (2 shared papers)
- Journals
- European Journal of Human Genetics (1 paper)Current Protocols in Human Genetics (1 paper)G3 Genes Genomes Genetics (1 paper)Cancer Research (1 paper)The American Journal of Human Genetics (1 paper)
- Partner nations
- United StatesBrazilIceland
In The Last Decade
Jane Romm
6 papers receiving 365 citations
Peers
Comparison fields: 5 of 67
- Genetics 183
- Cancer Research 54
- Virology 13
- Molecular Biology 159
- Oncology 41
Countries citing papers authored by Jane Romm
This map shows the geographic impact of Jane Romm'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 Jane Romm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Romm more than expected).
Fields of papers citing papers by Jane Romm
This network shows the impact of papers produced by Jane Romm. 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 Jane Romm. The network helps show where Jane Romm may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Romm, 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 | 2012 | 215 | |
| 2 | 2004 | 55 | |
| 3 | 2017 | 40 | |
| 4 | 2013 | 37 | |
| 5 | 2015 | 19 | |
| 6 | 2016 | 4 |
About Jane Romm
Jane Romm is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Surgery and Virology, having authored 6 papers that have together received 370 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetic Associations and Epidemiology (2 papers), Genomics and Rare Diseases (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Epigenetics and DNA Methylation (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Genetics (183 citations), Cancer Research (54 citations), Virology (13 citations), Molecular Biology (159 citations) and Oncology (41 citations). Jane Romm has collaborated with scholars based in United States, Brazil and Iceland. Frequent co-authors include Kimberly F. Doheny, Matthew Flickinger, Kurt N. Hetrick, Michael Boehnke, Goo Jun, Gonçalo R. Abecasis, Hyun Min Kang, Elizabeth Pugh, Michael Goggins and Michiel S. van der Heijden. Their work appears in journals such as European Journal of Human Genetics, Current Protocols in Human Genetics, G3 Genes Genomes Genetics, Cancer Research and The American Journal of Human Genetics.
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.