Ed Tom

12 papers receiving 1.1k citations

Ed Tom's Hit Papers

Human cytomegalovirus clinical isolates carry at least 19 genes not found in laboratory strains 1996 · 546 citations
5460+10+20Years since publication100200300400500

Peers

Ed Tom
Comparison fields: 5 of 45
  • Endocrinology, Diabetes and Metabolism 338
  • Epidemiology 516
  • Oncology 99
  • Health Informatics 10
  • Pulmonary and Respiratory Medicine 118
Replace Simeng Gu with:
Simeng Gu China
Lily Jih United States
Miyuki Saito Japan
Xianze Wang China
Jeff Eastham-Anderson United States
Chiara Tuccilli Italy
Junqi Wang China
Yuhan Huang United States
Claudius Klein Germany
Xiafei Hong China
Ed Tom relative to Simeng Gu China Simeng Gu's profile →
Citations per field
00.5×20×40×69×
Simeng Gu · 1×
Citations per year

Countries citing papers authored by Ed Tom

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ed Tom Line = papers co-authored together Ed Tom links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Human cytomegalovirus clinical isolates carry at least 19 genes not found in laboratory strains
Hit paper breakdown →
1996546
2 2010220
3 2015116
4 1999106
5 201357
6 201248
7 201629
8 201426
9 201722
10 20114
11 19983
12 20172

About Ed Tom

Ed Tom is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology, Pulmonary and Respiratory Medicine, Oncology and Molecular Biology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Gene expression and cancer classification (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Hepatitis C virus research (1 paper), Genetic diversity and population structure (1 paper), Cancer-related Molecular Pathways (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (338 citations), Epidemiology (516 citations), Oncology (99 citations), Health Informatics (10 citations) and Pulmonary and Respiratory Medicine (118 citations). Ed Tom has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Edward S. Mocarski, Richard R. Spaete, T A Cha, George W. Kemble, Greg M. Duke, Giulia Catignani Kennedy, Moraima Pagan, Jessica D. Reynolds, Richard Burnham Lanman and Lyssa Friedman. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, BMC Pulmonary Medicine, BMC Bioinformatics, The Lancet Respiratory Medicine and Journal of Virology.

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.

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