Paige Martin
- Molecular Biology top 10%
- Cancer Research top 5%
- Ecology top 10%
- Biomedical Engineering
- Global and Planetary Change top 10%
- Co-authors
- Paul R. LockmanRoger PhippsViravuth P. YinTianzhi YangAlison BrownShuhua BaiWilliam J. SydemanMichelle Hester
- Topics
- Avian ecology and behavior (4 papers)Mobile Health and mHealth Applications (4 papers)Eosinophilic Esophagitis (2 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Paige Martin
27 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 798
- Cancer Research 474
- Ecology 168
- Biomedical Engineering 142
- Global and Planetary Change 127
Countries citing papers authored by Paige Martin
This map shows the geographic impact of Paige 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 Paige Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paige Martin more than expected).
Fields of papers citing papers by Paige Martin
This network shows the impact of papers produced by Paige 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 Paige Martin. The network helps show where Paige Martin may publish in the future.
Co-authorship network of co-authors of Paige Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Paige Martin. A scholar is included among the top collaborators of Paige 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 Paige Martin. Paige 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 16 | |
| 6 | 2 | |
| 7 | 35 | |
| 8 | 11 | |
| 9 | 15 | |
| 10 | 14 | |
| 11 | 20 | |
| 12 | Modelling spatiotemporal variation of positive and negative sentiment on Twitter to improve the identification of localised deviations. | 1 |
| 13 | 11 | |
| 14 | 15 | |
| 15 | 61 | |
| 16 | Exosome Delivered Anticancer Drugs Across the Blood-Brain Barrier for Brain Cancer Therapy in Danio Reriobreakdown → | 813 |
| 17 | 5 | |
| 18 | 10 | |
| 19 | Breeding biology of Xantus’ murrelet at the San Benito Islands, Baja California, Mexico. | 12 |
| 20 | A trial of sulphamethoxypyridazine (S.M.P.) in the management of influenza. | 1 |
About Paige Martin
Paige Martin is a scholar working on Applied Psychology, Cancer Research and Geriatrics and Gerontology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Avian ecology and behavior (4 papers), Mobile Health and mHealth Applications (4 papers) and Eosinophilic Esophagitis (2 papers). The work is most often cited by research in Cancer Research (474 citations), Molecular Biology (798 citations) and Biomaterials (91 citations). Paige Martin has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Paul R. Lockman, Roger Phipps, Viravuth P. Yin, Tianzhi Yang, Alison Brown, Shuhua Bai, William J. Sydeman, Michelle Hester, Franklin Gress and Julie A. Thayer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.
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.