Heather L. Hinds
- Molecular Biology
- Genetics top 5%
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Developmental Neuroscience top 10%
- Co-authors
- James S. SutcliffeDavid L. NelsonDavid E. HousmanStephen T. WarrenMartin SchallingMayumi NishiMitsuhiro KawataHaiping Lu
- Topics
- Genetics and Neurodevelopmental Disorders (3 papers)Neuroscience and Neuropharmacology Research (3 papers)Retinal Development and Disorders (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Genetics
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Heather L. Hinds
12 papers receiving 872 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 521
- Genetics 406
- Cellular and Molecular Neuroscience 345
- Cognitive Neuroscience 222
- Developmental Neuroscience 61
Countries citing papers authored by Heather L. Hinds
This map shows the geographic impact of Heather L. Hinds'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 Heather L. Hinds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather L. Hinds more than expected).
Fields of papers citing papers by Heather L. Hinds
This network shows the impact of papers produced by Heather L. Hinds. 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 Heather L. Hinds. The network helps show where Heather L. Hinds may publish in the future.
Co-authorship network of co-authors of Heather L. Hinds
This figure shows the co-authorship network connecting the top 25 collaborators of Heather L. Hinds. A scholar is included among the top collaborators of Heather L. Hinds based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heather L. Hinds. Heather L. Hinds is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 75 | |
| 3 | 198 | |
| 4 | 70 | |
| 5 | 298 | |
| 6 | Carrier detection in X-linked immunodeficiencies. II: An X inactivation assay based on differential methylation of a line-1 repeat at the DXS255 locus. | 2 |
| 7 | Carrier detection in X-linked immunodeficiencies. I: A PCR-based X chromosome inactivation assay at the MAOA locus. | 4 |
| 8 | 60 | |
| 9 | 22 | |
| 10 | 31 | |
| 11 | 84 | |
| 12 | 43 |
About Heather L. Hinds
Heather L. Hinds is a scholar working on Developmental Neuroscience, Physiology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 891 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (345 citations), Developmental Neuroscience (61 citations) and Genetics (406 citations). Heather L. Hinds has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include James S. Sutcliffe, David L. Nelson, David E. Housman, Stephen T. Warren, Martin Schalling, Mayumi Nishi, Mitsuhiro Kawata, Haiping Lu, Yasunori Hayashi and Susumu Tonegawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature 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.