Holly Paddock
Impact in
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- Zebrafish Biomedical Research Applications
- Biophysics top 10%
Papers in
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- Biomedical Text Mining and Ontologies 7
- Bioinformatics and Genomic Networks 5
- Genetics, Bioinformatics, and Biomedical Research 4
- Genomics and Phylogenetic Studies 2
- Machine Learning in Bioinformatics 1
- Single-cell and spatial transcriptomics 1
- Co-authors
- Amy Singer (8 shared papers)Sridhar Ramachandran (8 shared papers)Ceri E. Van Slyke (8 shared papers)David Fashena (8 shared papers)Yvonne M. Bradford (8 shared papers)Matthew Brush (1 shared paper)Shreejoy J. Tripathy (1 shared paper)Christian Pich (8 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Genetics (3 papers)genesis (1 paper)PeerJ (1 paper)Methods in cell biology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Holly Paddock
8 papers receiving 472 citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Cell Biology 95
- Biophysics 27
- Molecular Biology 311
- Information Systems and Management 27
- Statistics, Probability and Uncertainty 26
Countries citing papers authored by Holly Paddock
This map shows the geographic impact of Holly Paddock'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 Holly Paddock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Holly Paddock more than expected).
Fields of papers citing papers by Holly Paddock
This network shows the impact of papers produced by Holly Paddock. 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 Holly Paddock. The network helps show where Holly Paddock may publish in the future.
Co-authors
The 24 scholars most cited alongside Holly Paddock, 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 | 2013 | 145 | |
| 2 | Zebrafish information network, the knowledgebase for Danio rerio research Hit paper breakdown → | 2022 | 114 |
| 3 | 2018 | 98 | |
| 4 | 2016 | 62 | |
| 5 | 2015 | 53 | |
| 6 | 2020 | 10 | |
| 7 | 2016 | 6 | |
| 8 | 2023 | 4 | |
| 9 | 2025 | 0 |
About Holly Paddock
Holly Paddock is a scholar working on Molecular Biology, Information Systems, Information Systems and Management, Computational Theory and Mathematics and Cell Biology, having authored 9 papers that have together received 492 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Bioinformatics and Genomic Networks (5 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers), Genomics and Phylogenetic Studies (2 papers), Machine Learning in Bioinformatics (1 paper), Single-cell and spatial transcriptomics (1 paper), Genomics and Rare Diseases (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Cell Biology (95 citations), Biophysics (27 citations), Molecular Biology (311 citations), Information Systems and Management (27 citations) and Statistics, Probability and Uncertainty (26 citations). Holly Paddock has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Amy Singer, Sridhar Ramachandran, Ceri E. Van Slyke, David Fashena, Yvonne M. Bradford, Matthew Brush, Shreejoy J. Tripathy, Christian Pich, Laura Ponting and Leyla Ruzicka. Their work appears in journals such as Nucleic Acids Research, Genetics, genesis, PeerJ and Methods in cell biology.
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.