Emma C. Martin

466 total citations
13 papers, 332 citations indexed

About

Emma C. Martin is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Emma C. Martin has authored 13 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Emma C. Martin's work include Mathematical Biology Tumor Growth (2 papers), Cancer Genomics and Diagnostics (2 papers) and Statistical Methods in Clinical Trials (2 papers). Emma C. Martin is often cited by papers focused on Mathematical Biology Tumor Growth (2 papers), Cancer Genomics and Diagnostics (2 papers) and Statistical Methods in Clinical Trials (2 papers). Emma C. Martin collaborates with scholars based in United Kingdom, Switzerland and United States. Emma C. Martin's 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 and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer Research and Journal of Allergy and Clinical Immunology.

In The Last Decade

Emma C. Martin

13 papers receiving 321 citations

Peers

Emma C. Martin
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 149
  • Surgery 117
  • Pulmonary and Respiratory Medicine 48
  • Molecular Biology 45
  • Immunology 43
Replace Massimo Realacci with:
Massimo Realacci Italy
Xiao‐Yong Pu China
N Viceconti Italy
Sarah A. Aroner United States
Poh‐Sim Low Singapore
Ismael Capel Spain
Ertuğrul Taşan Türkiye
Marco Brogi Italy
Michael Busch-Sørensen Denmark
Julie Martin‐Grace Ireland
Massimo Realacci Italy View profile →
Citations per field, relative to Emma C. Martin
Emma C. Martin · 1×
Citations per year, relative to Emma C. Martin
Emma C. Martin · 1×

Countries citing papers authored by Emma C. Martin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

13 of 13 papers shown
# 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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026