Emma C. Martin
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Immunology
- Co-authors
- John WatkinsonNicholas CampainChris McCabeHisham MehannaJayne A. FranklynBen CarterKristien BoelaertEmily J. Swindle
- Topics
- Mathematical Biology Tumor Growth (2 papers)Cancer Genomics and Diagnostics (2 papers)Statistical Methods in Clinical Trials (2 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismCancer ResearchJournal of Allergy and Clinical Immunology
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Emma C. Martin
13 papers receiving 321 citations
Peers
Comparison fields: 5 of 71
- Endocrinology, Diabetes and Metabolism 149
- Surgery 117
- Pulmonary and Respiratory Medicine 48
- Molecular Biology 45
- Immunology 43
Countries citing papers authored by Emma C. Martin
This map shows the geographic impact of Emma C. Martin'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 Emma C. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma C. Martin more than expected).
Fields of papers citing papers by Emma C. Martin
This network shows the impact of papers produced by Emma C. Martin. 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 Emma C. Martin. The network helps show where Emma C. Martin may publish in the future.
Co-authorship network of co-authors of Emma C. Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Emma C. Martin. A scholar is included among the top collaborators of Emma C. Martin 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 Emma C. Martin. Emma C. Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Calculates the Minimum Sample Size Required for Developing a Multivariable Prediction Model [R package pmsampsize version 1.1.0] | 3 |
| 3 | Mixed Effects Regression for Linear, Non-Linear and User-Defined Models [R package merlin version 0.1.0] | 1 |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 152 | |
| 12 | 95 | |
| 13 | 44 |
About Emma C. Martin
Emma C. Martin is a scholar working on Modeling and Simulation, Statistics and Probability and Immunology, having authored 13 papers that have together received 332 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (2 papers), Cancer Genomics and Diagnostics (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (149 citations), Immunology and Allergy (16 citations) and Surgery (117 citations). Emma C. Martin has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include John Watkinson, Nicholas Campain, Chris McCabe, Hisham Mehanna, Jayne A. Franklyn, Ben Carter, Kristien Boelaert, Emily J. Swindle, Stephen T. Holgate and Donna E. Davies. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer Research and Journal of Allergy and Clinical Immunology.
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.