Daniel J. Parente

614 citations
32 papers · 418 · h-index 12

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Bacterial Genetics and Biotechnology
    • Genetics and Neurodevelopmental Disorders
    • Evolution and Genetic Dynamics

Papers in

    • Evolution and Genetic Dynamics 4
    • Genomics and Rare Diseases 4
    • Artificial Intelligence in Healthcare and Education 3

Daniel J. Parente

27 papers receiving 398 citations

Peers

Daniel J. Parente
Comparison fields: 5 of 64
  • Health Informatics 41
  • Genetics 111
  • Health 32
  • Molecular Biology 160
  • Cellular and Molecular Neuroscience 27
Replace Kurt O. Gilliland with:
Kurt O. Gilliland United States
Henri‐Corto Stoeklé France
Danny A. Mammo United States
Katie M. Saulnier Canada
Silvina C. Mema Canada
César Palacios‐González United Kingdom
Katherine Witte Saylor United States
Benjamin Capps Singapore
Kevin Kum Esoh South Africa
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Citations per field
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Kurt O. Gilliland · 1×
Citations per year

Countries citing papers authored by Daniel J. Parente

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel J. Parente Line = papers co-authored together Daniel J. Parente links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201685
2 201358
3 201129
4 202128
5 202428
6 201321
7 202420
8 201519
9 202119
10 201518
11 202018
12 202013
13 20199
14 20238
15 20237
16 20247
17 20216
18 20214
19 20234
20 20223

About Daniel J. Parente

Daniel J. Parente is a scholar working on Genetics, Health Informatics, General Health Professions, Health and Gender Studies, having authored 32 papers that have together received 418 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Evolution and Genetic Dynamics (4 papers), Genomics and Rare Diseases (4 papers), Genomics and Phylogenetic Studies (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Diversity and Career in Medicine (3 papers), Community Health and Development (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Health Informatics (41 citations), Genetics (111 citations), Health (32 citations), Molecular Biology (160 citations) and Cellular and Molecular Neuroscience (27 citations). Daniel J. Parente has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Liskin Swint‐Kruse, Michael W. Manley, Marwan S. Shinawi, Gabriel C. Araujo, Berivan Baskin, Ganka Douglas, Megan T. Cho, Sudheer K. 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, PLoS ONE, The Annals of Family Medicine and Journal of General Internal Medicine.

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.

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