Daniel J. Correa
Impact in
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- Diabetes Treatment and Management
- Orthopedics and Sports Medicine top 10%
- Bone health and osteoporosis research
Papers in
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- Epilepsy research and treatment 5
-
- Bone Metabolism and Diseases 2
- Co-authors
- Jacinto L. Marchetti (1 shared paper)Sandra Williams (2 shared papers)Carlos M. Isales (2 shared papers)Roni J. Bollag (2 shared papers)Mark W. Hamrick (2 shared papers)Qing Zhong (2 shared papers)Karl Insogna (2 shared papers)Wendy B. Bollag (2 shared papers)
- Journals
- Epilepsia (2 papers)Neurology (2 papers)Epilepsia Open (2 papers)Bone (2 papers)Heat Transfer Engineering (2 papers)
- Partner nations
- United StatesChinaArgentina
In The Last Decade
Daniel J. Correa
20 papers receiving 483 citations
Peers
Comparison fields: 5 of 76
- Endocrinology, Diabetes and Metabolism 142
- Orthopedics and Sports Medicine 53
- Endocrine and Autonomic Systems 36
- Psychiatry and Mental health 47
- Neurology 35
Countries citing papers authored by Daniel J. Correa
This map shows the geographic impact of Daniel J. Correa'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 J. Correa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Correa more than expected).
Fields of papers citing papers by Daniel J. Correa
This network shows the impact of papers produced by Daniel J. Correa. 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 J. Correa. The network helps show where Daniel J. Correa may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Correa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 149 | |
| 2 | 2007 | 124 | |
| 3 | 1987 | 46 | |
| 4 | 2020 | 45 | |
| 5 | 2023 | 34 | |
| 6 | 2024 | 21 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 14 | |
| 9 | 2013 | 10 | |
| 10 | 2017 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2018 | 7 | |
| 13 | 2023 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2012 | 3 | |
| 16 | Teletrabalho, produção e gasto público: o que aprendemos com a covid-19? | 2022 | 3 |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 1998 | 1 | |
| 20 | 2025 | 1 |
About Daniel J. Correa
Daniel J. Correa is a scholar working on Psychiatry and Mental health, Molecular Biology, General Health Professions, Neurology and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 499 indexed citations. Recurring topics across this work include Epilepsy research and treatment (5 papers), Health Literacy and Information Accessibility (2 papers), Traumatic Brain Injury Research (2 papers), Bone Metabolism and Diseases (2 papers), COVID-19 and healthcare impacts (2 papers), Long-Term Effects of COVID-19 (2 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Heat Transfer and Optimization (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (142 citations), Orthopedics and Sports Medicine (53 citations), Endocrine and Autonomic Systems (36 citations), Psychiatry and Mental health (47 citations) and Neurology (35 citations). Daniel J. Correa has collaborated with scholars based in United States, China and Argentina. Frequent co-authors include Jacinto L. Marchetti, Sandra Williams, Carlos M. Isales, Roni J. Bollag, Mark W. Hamrick, Qing Zhong, Karl Insogna, Wendy B. Bollag, Hua Cheng and Ding Xie. Their work appears in journals such as Epilepsia, Neurology, Epilepsia Open, Bone and Heat Transfer Engineering.
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.