Daniel J. Parente
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Genetics and Neurodevelopmental Disorders
- Bacterial Genetics and Biotechnology
Papers in
-
- Protein Structure and Dynamics 7
- RNA and protein synthesis mechanisms 6
- Bioinformatics and Genomic Networks 2
- Genetics 7
- BRCA gene mutations in cancer 2
- Genomics and Rare Diseases 2
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Liskin Swint‐Kruse (10 shared papers)Michael W. Manley (2 shared papers)Marwan Shinawi (2 shared papers)Ganka Douglas (1 shared paper)Megan T. Cho (1 shared paper)Gabriel C. Araujo (1 shared paper)Berivan Baskin (1 shared paper)Sudheer Tungtur (1 shared paper)
- Journals
- The Journal of the American Board of Family Medicine (6 papers)Proteins Structure Function and Bioinformatics (3 papers)The Annals of Family Medicine (2 papers)PLoS ONE (2 papers)Big Data (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel J. Parente
28 papers receiving 377 citations
Peers
Comparison fields: 5 of 86
- Health Informatics 24
- Genetics 95
- Molecular Biology 227
- Health 24
- Family Practice 5
Countries citing papers authored by Daniel J. Parente
This map shows the geographic impact of Daniel J. Parente'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. Parente 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. Parente more than expected).
Fields of papers citing papers by Daniel J. Parente
This network shows the impact of papers produced by Daniel J. Parente. 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. Parente. The network helps show where Daniel J. Parente may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Parente, 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 | 2016 | 82 | |
| 2 | 2013 | 57 | |
| 3 | 2011 | 29 | |
| 4 | 2021 | 26 | |
| 5 | 2024 | 24 | |
| 6 | 2015 | 20 | |
| 7 | 2013 | 20 | |
| 8 | 2015 | 20 | |
| 9 | 2021 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2024 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2019 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2021 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 3 |
About Daniel J. Parente
Daniel J. Parente is a scholar working on Molecular Biology, Genetics, General Health Professions, Health Informatics and Epidemiology, having authored 31 papers that have together received 399 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), RNA and protein synthesis mechanisms (6 papers), BRCA gene mutations in cancer (2 papers), Genomics and Rare Diseases (2 papers), Enzyme Structure and Function (2 papers), Bioinformatics and Genomic Networks (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Health Informatics (24 citations), Genetics (95 citations), Molecular Biology (227 citations), Health (24 citations) and Family Practice (5 citations). Daniel J. Parente has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Liskin Swint‐Kruse, Michael W. Manley, Marwan Shinawi, Ganka Douglas, Megan T. Cho, Gabriel C. Araujo, Berivan Baskin, Sudheer Tungtur, J. Christian J. Ray and Aron W. Fenton. Their work appears in journals such as The Journal of the American Board of Family Medicine, Proteins Structure Function and Bioinformatics, The Annals of Family Medicine, PLoS ONE and Big Data.
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.