Ed Tom
Impact in
- Parasitology top 5%
- Toxoplasma gondii Research Studies
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
-
- Epigenetics and DNA Methylation 1
- Machine Learning in Bioinformatics 1
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- Thyroid Cancer Diagnosis and Treatment 2
- Co-authors
- George Kemble (1 shared paper)G M Duke (1 shared paper)T A (1 shared paper)Edward S. Mocarski (1 shared paper)Richard R. Spaete (1 shared paper)Giulia C. Kennedy (5 shared papers)Moraima Pagan (4 shared papers)Virginia A. LiVolsi (2 shared papers)
- Journals
- Cold Spring Harbor Symposia on Quantitative Biology (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Journal of Virology (1 paper)Nature Genetics (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Ed Tom
7 papers receiving 794 citations
Ed Tom's Hit Papers
Peers
Comparison fields: 5 of 48
- Parasitology 182
- Epidemiology 547
- Endocrinology, Diabetes and Metabolism 231
- Virology 23
- Immunology 94
Countries citing papers authored by Ed Tom
This map shows the geographic impact of Ed Tom'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 Ed Tom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ed Tom more than expected).
Fields of papers citing papers by Ed Tom
This network shows the impact of papers produced by Ed Tom. 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 Ed Tom. The network helps show where Ed Tom may publish in the future.
Co-authors
The 25 scholars most cited alongside Ed Tom, 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 | Human cytomegalovirus clinical isolates carry at least 19 genes not found in laboratory strains Hit paper breakdown → | 1996 | 543 |
| 2 | 2010 | 212 | |
| 3 | 2016 | 31 | |
| 4 | 2000 | 26 | |
| 5 | 2014 | 26 | |
| 6 | 2017 | 2 | |
| 7 | 1999 | 2 | |
| 8 | 2015 | 0 |
About Ed Tom
Ed Tom is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Oncology and Epidemiology, having authored 8 papers that have together received 842 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Genomics and Rare Diseases (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper), Mycobacterium research and diagnosis (1 paper), Chromosomal and Genetic Variations (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Parasitology (182 citations), Epidemiology (547 citations), Endocrinology, Diabetes and Metabolism (231 citations), Virology (23 citations) and Immunology (94 citations). Ed Tom has collaborated with scholars based in United States, Italy and France. Frequent co-authors include George Kemble, G M Duke, T A, Edward S. Mocarski, Richard R. Spaete, Giulia C. Kennedy, Moraima Pagan, Virginia A. LiVolsi, Jessica Reynolds and Juan Rosaí. Their work appears in journals such as Cold Spring Harbor Symposia on Quantitative Biology, The Journal of Clinical Endocrinology & Metabolism, Journal of Virology, Nature Genetics and Journal of Clinical Oncology.
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.