Hannah Tipney
- Genetics top 5%
- Developmental Neuroscience top 10%
- Williams Syndrome Research 2
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks 6
- Biomedical Text Mining and Ontologies 4
- Glycosylation and Glycoproteins Research 2
- Gene expression and cancer classification 2
-
- Computational Drug Discovery Methods 3
-
- Distributed and Parallel Computing Systems 2
-
- Semantic Web and Ontologies 2
- Co-authors
- John C. WhittakerPak C. ShamAris FloratosLon R. CardonPaola NicolettiJudong ShenMatthew R. NelsonJunwen Wang
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Hannah Tipney
19 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Genetics 416
- Developmental Neuroscience 55
- Molecular Biology 733
- Information Systems and Management 61
- Computational Theory and Mathematics 131
Countries citing papers authored by Hannah Tipney
This map shows the geographic impact of Hannah Tipney'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 Hannah Tipney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Tipney more than expected).
Fields of papers citing papers by Hannah Tipney
This network shows the impact of papers produced by Hannah Tipney. 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 Hannah Tipney. The network helps show where Hannah Tipney may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hannah Tipney, 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 | 2023 | 1 | |
| 2 | 2016 | 15 | |
| 3 | The support of human genetic evidence for approved drug indicationsbreakdown → | 2015 | 874 |
| 4 | 2014 | 23 | |
| 5 | 2013 | 1 | |
| 6 | 2012 | 6 | |
| 7 | 2011 | 20 | |
| 8 | 2011 | 11 | |
| 9 | 2011 | 1 | |
| 10 | 2010 | 52 | |
| 11 | 2010 | 16 | |
| 12 | 2009 | 50 | |
| 13 | 2009 | 42 | |
| 14 | 2009 | 10 | |
| 15 | 2009 | 42 | |
| 16 | Consistent visualizations of changing knowledge. | 2009 | 2 |
| 17 | 2004 | 75 | |
| 18 | 2004 | 45 | |
| 19 | 2004 | 38 | |
| 20 | Genome Science performed with e-Science Tools | 2004 | 1 |
About Hannah Tipney
Hannah Tipney is a scholar working on Developmental Neuroscience, Computational Theory and Mathematics, Molecular Biology, Information Systems and Management and Artificial Intelligence, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Biomedical Text Mining and Ontologies (4 papers), Computational Drug Discovery Methods (3 papers), Glycosylation and Glycoproteins Research (2 papers), Distributed and Parallel Computing Systems (2 papers), Williams Syndrome Research (2 papers), Semantic Web and Ontologies (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Genetics (416 citations), Developmental Neuroscience (55 citations), Molecular Biology (733 citations), Information Systems and Management (61 citations) and Computational Theory and Mathematics (131 citations). Hannah Tipney has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include John C. Whittaker, Pak C. Sham, Aris Floratos, Lon R. Cardon, Paola Nicoletti, Judong Shen, Matthew R. Nelson, Junwen Wang, Mulin Jun Li and Jeffery L. Painter. Their work appears in journals such as PLoS ONE, Nature Genetics, Journal of Hepatology, Journal of Proteome Research and European Journal of Human Genetics.
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.