John C. Moad
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Dermatology top 5%
- Cutaneous lymphoproliferative disorders research
Papers in
-
- Cutaneous lymphoproliferative disorders research 2
- Dermatology and Skin Diseases 1
- Cancer and Skin Lesions 1
-
- Acute Myeloid Leukemia Research 2
- Co-authors
- Maria‐Magdalena Tomaszewski (2 shared papers)George P. Lupton (1 shared paper)Michael N. Kent (2 shared papers)Thomas George Olsen (2 shared papers)John B. Tourtelot (1 shared paper)Mark W. Cobb (1 shared paper)Jeffery K. Taubenberger (1 shared paper)Nadine S. Ives Aguilera (1 shared paper)
- Journals
- The American Journal of the Medical Sciences (1 paper)Modern Pathology (1 paper)JAMA Dermatology (1 paper)Thyroid (1 paper)Journal of the American Academy of Dermatology (1 paper)
- Partner nations
- United StatesBelgiumThailand
In The Last Decade
John C. Moad
13 papers receiving 333 citations
Peers
Comparison fields: 5 of 38
- Health Informatics 27
- Dermatology 85
- Endocrinology, Diabetes and Metabolism 67
- Artificial Intelligence 98
- Pathology and Forensic Medicine 35
Countries citing papers authored by John C. Moad
This map shows the geographic impact of John C. Moad'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 John C. Moad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Moad more than expected).
Fields of papers citing papers by John C. Moad
This network shows the impact of papers produced by John C. Moad. 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 John C. Moad. The network helps show where John C. Moad may publish in the future.
Co-authors
The 21 scholars most cited alongside John C. Moad, 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 | 2018 | 98 | |
| 2 | 1998 | 76 | |
| 3 | 1999 | 52 | |
| 4 | 2001 | 46 | |
| 5 | 2017 | 44 | |
| 6 | 1991 | 13 | |
| 7 | 1992 | 11 | |
| 8 | 2010 | 6 | |
| 9 | Pathologic quiz case 1. Primary melanoma of the left maxillary sinus. | 1992 | 5 |
| 10 | 2010 | 4 | |
| 11 | 2009 | 1 | |
| 12 | 2020 | 1 | |
| 13 | Subcorneal Pustular Dermatosis Following SARS-CoV-2 Infection. | 2023 | 1 |
| 14 | CD4+ CD56+ hematodermic neoplasm and plasmacytoid dendritic cell tumor: case report and review of the literature. | 2012 | 0 |
| 15 | 2023 | 0 |
About John C. Moad
John C. Moad is a scholar working on Dermatology, Hematology, Pathology and Forensic Medicine, Physiology and Epidemiology, having authored 15 papers that have together received 358 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders (2 papers), Acute Myeloid Leukemia Research (2 papers), Cutaneous lymphoproliferative disorders research (2 papers), Histiocytic Disorders and Treatments (2 papers), Lymphoma Diagnosis and Treatment (2 papers), AI in cancer detection (2 papers), Dermatology and Skin Diseases (1 paper) and Cancer and Skin Lesions (1 paper). The work is most often cited by research in Health Informatics (27 citations), Dermatology (85 citations), Endocrinology, Diabetes and Metabolism (67 citations), Artificial Intelligence (98 citations) and Pathology and Forensic Medicine (35 citations). John C. Moad has collaborated with scholars based in United States, Belgium and Thailand. Frequent co-authors include Maria‐Magdalena Tomaszewski, George P. Lupton, Michael N. Kent, Thomas George Olsen, John B. Tourtelot, Mark W. Cobb, Jeffery K. Taubenberger, Nadine S. Ives Aguilera, Susan L. Abbondanzo and David M. Scollard. Their work appears in journals such as The American Journal of the Medical Sciences, Modern Pathology, JAMA Dermatology, Thyroid and Journal of the American Academy of Dermatology.
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.