Kevin Webster
Impact in
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- Thyroid Cancer Diagnosis and Treatment
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- Cancer-related Molecular Pathways
Papers in
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- Experimental Learning in Engineering 2
- Engineering Education and Curriculum Development 1
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- Thyroid Cancer Diagnosis and Treatment 2
- Co-authors
- Charles Erlichman (3 shared papers)Michael E. Menefee (2 shared papers)Robert C. Smallridge (2 shared papers)Keith C. Bible (2 shared papers)Anne M. Traynor (2 shared papers)Boon Cher Goh (2 shared papers)William J. Maples (2 shared papers)Jill K. Burton (2 shared papers)
- Journals
- Journal of Clinical Oncology (1 paper)Blood (1 paper)The Lancet Oncology (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Scholarly Commons (University of the Pacific) (2 papers)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Kevin Webster
6 papers receiving 471 citations
Peers
Comparison fields: 5 of 42
- Endocrinology, Diabetes and Metabolism 364
- Oncology 177
- Genetics 74
- Pathology and Forensic Medicine 33
- Pulmonary and Respiratory Medicine 51
Countries citing papers authored by Kevin Webster
This map shows the geographic impact of Kevin Webster'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 Kevin Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Webster more than expected).
Fields of papers citing papers by Kevin Webster
This network shows the impact of papers produced by Kevin Webster. 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 Kevin Webster. The network helps show where Kevin Webster may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Webster, 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 | 2010 | 330 | |
| 2 | 2012 | 132 | |
| 3 | 2009 | 13 | |
| 4 | 2009 | 6 | |
| 5 | 2016 | 2 | |
| 6 | 2015 | 1 |
About Kevin Webster
Kevin Webster is a scholar working on Media Technology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Architecture and Hematology, having authored 6 papers that have together received 484 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Health Systems, Economic Evaluations, Quality of Life (1 paper), Pharmaceutical Economics and Policy (1 paper), Protein Degradation and Inhibitors (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Engineering Education and Curriculum Development (1 paper) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (364 citations), Oncology (177 citations), Genetics (74 citations), Pathology and Forensic Medicine (33 citations) and Pulmonary and Respiratory Medicine (51 citations). Kevin Webster has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Charles Erlichman, Michael E. Menefee, Robert C. Smallridge, Keith C. Bible, Anne M. Traynor, Boon Cher Goh, William J. Maples, Jill K. Burton, Julian R. Molina and Vera J. Suman. Their work appears in journals such as Journal of Clinical Oncology, Blood, The Lancet Oncology, The Journal of Clinical Endocrinology & Metabolism and Scholarly Commons (University of the Pacific).
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.