John Speakman
- Oncology top 10%
- Public Health, Environmental and Occupational Health top 10%
- General Health Professions top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- David ArtzEthan BaschMary S. McCabeDeborah SchragKevin S. ScherNandita MitraPaul SabbatiniDorothy Dulko
- Topics
- Cancer survivorship and care (2 papers)Statistical Methods in Clinical Trials (2 papers)Pharmacovigilance and Adverse Drug Reactions (1 paper)
- Journals
- Journal of Clinical OncologyJournal of the American Medical Informatics AssociationResuscitation
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
John Speakman
13 papers receiving 583 citations
Peers
Comparison fields: 5 of 87
- Oncology 329
- Public Health, Environmental and Occupational Health 191
- General Health Professions 137
- Pediatrics, Perinatology and Child Health 103
- Pulmonary and Respiratory Medicine 93
Countries citing papers authored by John Speakman
This map shows the geographic impact of John Speakman'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 Speakman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Speakman more than expected).
Fields of papers citing papers by John Speakman
This network shows the impact of papers produced by John Speakman. 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 Speakman. The network helps show where John Speakman may publish in the future.
Co-authorship network of co-authors of John Speakman
This figure shows the co-authorship network connecting the top 25 collaborators of John Speakman. A scholar is included among the top collaborators of John Speakman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Speakman. John Speakman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 7 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 55 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 95 | |
| 10 | 146 | |
| 11 | 242 | |
| 12 | 10 | |
| 13 | My name is John... | 2 |
About John Speakman
John Speakman is a scholar working on Health Informatics, Family Practice and Toxicology, having authored 13 papers that have together received 607 indexed citations. Recurring topics across this work include Cancer survivorship and care (2 papers), Statistical Methods in Clinical Trials (2 papers) and Pharmacovigilance and Adverse Drug Reactions (1 paper). The work is most often cited by research in Oncology (329 citations), Family Practice (19 citations) and Public Health, Environmental and Occupational Health (191 citations). John Speakman has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include David Artz, Ethan Basch, Mary S. McCabe, Deborah Schrag, Kevin S. Scher, Nandita Mitra, Paul Sabbatini, Dorothy Dulko, Martee L. Hensley and Allison Barz Leahy. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American Medical Informatics Association and Resuscitation.
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.