Edward Tom
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- Biotechnology top 10%
- Cancer Research and Treatments
Papers in
-
- Molecular Biology Techniques and Applications 2
- RNA Research and Splicing 1
- Oncology 2
- Cancer-related Molecular Pathways 2
- Co-authors
- Renbin Zhao (1 shared paper)Daniel A. Notterman (1 shared paper)Arnold J. Levine (1 shared paper)Yuxin Yin (1 shared paper)Maureen E. Murphy (1 shared paper)William H. Hoffman (1 shared paper)Kurt Gish (1 shared paper)David H. Mack (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (2 papers)BMC Pulmonary Medicine (1 paper)Genes & Development (1 paper)Autoimmunity (1 paper)
- Partner nations
- United StatesMexicoItaly
In The Last Decade
Edward Tom
5 papers receiving 638 citations
Edward Tom's Hit Papers
Peers
Comparison fields: 5 of 69
- Oncology 365
- Biotechnology 77
- Molecular Biology 469
- Cancer Research 97
- Endocrinology, Diabetes and Metabolism 90
Countries citing papers authored by Edward Tom
This map shows the geographic impact of Edward 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 Edward Tom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Tom more than expected).
Fields of papers citing papers by Edward Tom
This network shows the impact of papers produced by Edward 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 Edward Tom. The network helps show where Edward Tom may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward 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 | Analysis of p53-regulated gene expression patterns using oligonucleotide arrays Hit paper breakdown → | 2000 | 538 |
| 2 | 2013 | 51 | |
| 3 | 2012 | 45 | |
| 4 | 2017 | 19 | |
| 5 | 2011 | 4 |
About Edward Tom
Edward Tom is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 5 papers that have together received 657 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (2 papers), Cancer-related Molecular Pathways (2 papers), Molecular Biology Techniques and Applications (2 papers), interferon and immune responses (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Hepatitis C virus research (1 paper), Genetic factors in colorectal cancer (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Oncology (365 citations), Biotechnology (77 citations), Molecular Biology (469 citations), Cancer Research (97 citations) and Endocrinology, Diabetes and Metabolism (90 citations). Edward Tom has collaborated with scholars based in United States, Mexico and Italy. Frequent co-authors include Renbin Zhao, Daniel A. Notterman, Arnold J. Levine, Yuxin Yin, Maureen E. Murphy, William H. Hoffman, Kurt Gish, David H. Mack, Giulia C. Kennedy and P. Sean Walsh. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, BMC Pulmonary Medicine, Genes & Development and Autoimmunity.
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.