Daniel Magee
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
Papers in
- Oncology 10
-
- COVID-19 epidemiological studies 4
- Co-authors
- Matthew J. During (4 shared papers)Matthew Scotch (9 shared papers)Lei Cao (3 shared papers)Travis B. McMurphy (3 shared papers)Eugene Choi (2 shared papers)Meng Sun (2 shared papers)En-Ju Deborah Lin (2 shared papers)Xianglan Liu (2 shared papers)
- Journals
- Gynecologic Oncology (2 papers)Annals of Oncology (2 papers)Journal of Economic Entomology (2 papers)Clinical Cancer Research (2 papers)Infection Genetics and Evolution (1 paper)
- Partner nations
- United StatesBelgiumGermany
In The Last Decade
Daniel Magee
35 papers receiving 787 citations
Peers
Comparison fields: 5 of 100
- Behavioral Neuroscience 50
- Reproductive Medicine 105
- Oncology 158
- Biological Psychiatry 14
- Obstetrics and Gynecology 39
Countries citing papers authored by Daniel Magee
This map shows the geographic impact of Daniel Magee'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 Daniel Magee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Magee more than expected).
Fields of papers citing papers by Daniel Magee
This network shows the impact of papers produced by Daniel Magee. 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 Daniel Magee. The network helps show where Daniel Magee may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Magee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2015 | 74 | |
| 3 | 2014 | 56 | |
| 4 | 2021 | 49 | |
| 5 | 2020 | 48 | |
| 6 | 2017 | 44 | |
| 7 | 2014 | 40 | |
| 8 | 2014 | 40 | |
| 9 | 2021 | 35 | |
| 10 | 2022 | 33 | |
| 11 | 2023 | 31 | |
| 12 | 2014 | 27 | |
| 13 | 2014 | 27 | |
| 14 | 2017 | 22 | |
| 15 | 2016 | 21 | |
| 16 | 2018 | 19 | |
| 17 | 2018 | 19 | |
| 18 | 2024 | 16 | |
| 19 | 2018 | 15 | |
| 20 | 2025 | 13 |
About Daniel Magee
Daniel Magee is a scholar working on Oncology, Modeling and Simulation, Cancer Research, Epidemiology and Agronomy and Crop Science, having authored 36 papers that have together received 795 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), COVID-19 epidemiological studies (4 papers), Adipose Tissue and Metabolism (4 papers), Genomics and Phylogenetic Studies (3 papers), Influenza Virus Research Studies (3 papers), Data-Driven Disease Surveillance (3 papers), Animal Disease Management and Epidemiology (3 papers) and Insect Pest Control Strategies (2 papers). The work is most often cited by research in Behavioral Neuroscience (50 citations), Reproductive Medicine (105 citations), Oncology (158 citations), Biological Psychiatry (14 citations) and Obstetrics and Gynecology (39 citations). Daniel Magee has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Matthew J. During, Matthew Scotch, Lei Cao, Travis B. McMurphy, Eugene Choi, Meng Sun, En-Ju Deborah Lin, Xianglan Liu, Chuansong Wang and Marc A. Suchard. Their work appears in journals such as Gynecologic Oncology, Annals of Oncology, Journal of Economic Entomology, Clinical Cancer Research and Infection Genetics and Evolution.
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.