William J. Maples
Impact in
- Oncology top 2%
- Cutaneous Melanoma Detection and Management
- Lung Cancer Research Studies
- Cancer-related Molecular Pathways
-
- Thyroid Cancer Diagnosis and Treatment
Papers in
- Oncology 31
- Vascular Tumors and Angiosarcomas 7
- Cutaneous Melanoma Detection and Management 7
- CAR-T cell therapy research 5
- Co-authors
- Charles ErlichmanSvetomir N. MarkovicEdward T. CreaganVera J. SumanBarbara A. PockajTom R. FitchLori A. EricksonRavi D. Rao
- Journals
- Journal of Clinical Oncology (19 papers)Cancer (6 papers)Mayo Clinic Proceedings (4 papers)Pancreas (2 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- United StatesBelarusSingapore
In The Last Decade
William J. Maples
50 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 111
- Oncology 1.5k
- Endocrinology, Diabetes and Metabolism 418
- Dermatology 204
- Neurology 337
- Epidemiology 660
Countries citing papers authored by William J. Maples
This map shows the geographic impact of William J. Maples'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 William J. Maples with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Maples more than expected).
Fields of papers citing papers by William J. Maples
This network shows the impact of papers produced by William J. Maples. 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 William J. Maples. The network helps show where William J. Maples may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William J. Maples, 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 | Are we relying too heavily on HCAHPS | 2016 | 1 |
| 2 | 2015 | 14 | |
| 3 | 2014 | 5 | |
| 4 | 2013 | 35 | |
| 5 | 2012 | 46 | |
| 6 | 2012 | 131 | |
| 7 | 2012 | 125 | |
| 8 | 2011 | 15 | |
| 9 | 2011 | 70 | |
| 10 | 2010 | 207 | |
| 11 | 2010 | 330 | |
| 12 | 2010 | 124 | |
| 13 | 2009 | 22 | |
| 14 | 2007 | 109 | |
| 15 | 2007 | 62 | |
| 16 | 2005 | 103 | |
| 17 | 2004 | 14 | |
| 18 | 1998 | 3 | |
| 19 | 1994 | 1 | |
| 20 | 1992 | 26 |
About William J. Maples
William J. Maples is a scholar working on Oncology, Research and Theory, Pulmonary and Respiratory Medicine, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 50 papers that have together received 2.6k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (9 papers), Renal cell carcinoma treatment (8 papers), Vascular Tumors and Angiosarcomas (7 papers), Cutaneous Melanoma Detection and Management (7 papers), Melanoma and MAPK Pathways (5 papers), Cancer Genomics and Diagnostics (5 papers), CAR-T cell therapy research (5 papers) and Renal and related cancers (5 papers). The work is most often cited by research in Oncology (1.5k citations), Endocrinology, Diabetes and Metabolism (418 citations), Dermatology (204 citations), Neurology (337 citations) and Epidemiology (660 citations). William J. Maples has collaborated with scholars based in United States, Belarus and Singapore. Frequent co-authors include Charles Erlichman, Svetomir N. Markovic, Edward T. Creagan, Vera J. Suman, Barbara A. Pockaj, Tom R. Fitch, Lori A. Erickson, Ravi D. Rao, Robert R. McWilliams and Aditya Bardia. Their work appears in journals such as Journal of Clinical Oncology, Cancer, Mayo Clinic Proceedings, Pancreas and International Journal of Radiation Oncology*Biology*Physics.
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.