Ed Tom
Impact in
- Parasitology top 5%
- Toxoplasma gondii Research Studies
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
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- Thyroid Cancer Diagnosis and Treatment 2
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- Cancer Genomics and Diagnostics 1
- Co-authors
- George W. Kemble (1 shared paper)Richard R. Spaete (1 shared paper)T A (1 shared paper)Edward S. Mocarski (1 shared paper)Greg M. Duke (1 shared paper)Moraima Pagan (3 shared papers)Giulia Catignani Kennedy (4 shared papers)Juan Rosaí (2 shared papers)
- Journals
- Journal of Virology (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)The Lancet Respiratory Medicine (1 paper)BMC Bioinformatics (1 paper)Model Assisted Statistics and Applications (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Ed Tom
6 papers receiving 887 citations
Ed Tom's Hit Papers
Peers
Comparison fields: 5 of 49
- Parasitology 182
- Epidemiology 550
- Endocrinology, Diabetes and Metabolism 236
- Health Informatics 8
- Virology 22
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 | 545 |
| 2 | 2010 | 221 | |
| 3 | 2015 | 117 | |
| 4 | 2016 | 29 | |
| 5 | 2014 | 26 | |
| 6 | 2017 | 2 |
About Ed Tom
Ed Tom is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 940 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (2 papers), Mycobacterium research and diagnosis (1 paper), Cancer Genomics and Diagnostics (1 paper), Biomedical Text Mining and Ontologies (1 paper), Machine Learning in Bioinformatics (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Herpesvirus Infections and Treatments (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Parasitology (182 citations), Epidemiology (550 citations), Endocrinology, Diabetes and Metabolism (236 citations), Health Informatics (8 citations) and Virology (22 citations). Ed Tom has collaborated with scholars based in United States and Italy. Frequent co-authors include George W. Kemble, Richard R. Spaete, T A, Edward S. Mocarski, Greg M. Duke, Moraima Pagan, Giulia Catignani Kennedy, Juan Rosaí, Richard Burnham Lanman and Jessica D. Reynolds. Their work appears in journals such as Journal of Virology, The Journal of Clinical Endocrinology & Metabolism, The Lancet Respiratory Medicine, BMC Bioinformatics and Model Assisted Statistics and Applications.
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.