Daniel Magee
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in ⓘ
-
- COVID-19 epidemiological studies 4
- Co-authors
- Matthew J. During (4 shared papers)Matthew Scotch (9 shared papers)Lei Cao (3 shared papers)Travis McMurphy (3 shared papers)Meng Sun (2 shared papers)Eugene Choi (2 shared papers)En‐Ju D. Lin (2 shared papers)Chuansong Wang (2 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Annals of Oncology (2 papers)Journal of Economic Entomology (2 papers)Cancer (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
Daniel Magee
30 papers receiving 566 citations
Peers
Comparison fields: 5 of 100
- Behavioral Neuroscience 53
- Biological Psychiatry 16
- Endocrine and Autonomic Systems 39
- Reproductive Medicine 41
- Physiology 120
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 72 | |
| 2 | 2014 | 53 | |
| 3 | 2021 | 44 | |
| 4 | 2014 | 39 | |
| 5 | 2014 | 38 | |
| 6 | 2017 | 37 | |
| 7 | 2020 | 35 | |
| 8 | 2014 | 27 | |
| 9 | 2021 | 27 | |
| 10 | 2014 | 26 | |
| 11 | 2022 | 23 | |
| 12 | 2017 | 22 | |
| 13 | 2023 | 21 | |
| 14 | 2018 | 18 | |
| 15 | 2016 | 18 | |
| 16 | 2018 | 12 | |
| 17 | 1985 | 9 | |
| 18 | 2018 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2017 | 6 |
About Daniel Magee
Daniel Magee is a scholar working on Modeling and Simulation, Behavioral Neuroscience, Cancer Research, Endocrine and Autonomic Systems and Agronomy and Crop Science, having authored 31 papers that have together received 571 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Adipose Tissue and Metabolism (4 papers), COVID-19 epidemiological studies (4 papers), Genomics and Phylogenetic Studies (3 papers), Data-Driven Disease Surveillance (3 papers), Influenza Virus Research Studies (3 papers), Animal Disease Management and Epidemiology (3 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Behavioral Neuroscience (53 citations), Biological Psychiatry (16 citations), Endocrine and Autonomic Systems (39 citations), Reproductive Medicine (41 citations) and Physiology (120 citations). Daniel Magee has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Matthew J. During, Matthew Scotch, Lei Cao, Travis McMurphy, Meng Sun, Eugene Choi, En‐Ju D. Lin, Chuansong Wang, Xianglan Liu and Marc A. Suchard. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Journal of Economic Entomology, Cancer and Clinical Cancer Research.
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.