Heather McQueen
Impact in
- Genetics top 5%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Animal Genetics and Reproduction
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Reproductive Medicine top 10%
Papers in
- Genetics 10
- Animal Genetics and Reproduction 6
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 4
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- Genomics and Chromatin Dynamics 4
- Co-authors
- Adrian Bird (7 shared papers)Michael Clinton (3 shared papers)Derek McBride (2 shared papers)Giorgia Siriaco (2 shared papers)Sally H. Cross (2 shared papers)Gino Miele (1 shared paper)Alan Archibald (3 shared papers)H. M. Sang (1 shared paper)
- Journals
- Chromosome Research (2 papers)Mammalian Genome (2 papers)Genetics Research (1 paper)Current Biology (1 paper)Gene (1 paper)
- Partner nations
- United KingdomCanadaNetherlands
In The Last Decade
Heather McQueen
19 papers receiving 828 citations
Peers
Comparison fields: 5 of 84
- Genetics 476
- Reproductive Medicine 64
- Molecular Biology 364
- Plant Science 181
- Computer Science Applications 24
Countries citing papers authored by Heather McQueen
This map shows the geographic impact of Heather McQueen'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 McQueen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather McQueen more than expected).
Fields of papers citing papers by Heather McQueen
This network shows the impact of papers produced by Heather McQueen. 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 McQueen. The network helps show where Heather McQueen may publish in the future.
Co-authors
The 25 scholars most cited alongside Heather McQueen, 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 | 2010 | 162 | |
| 2 | 2001 | 103 | |
| 3 | 1996 | 97 | |
| 4 | 1998 | 96 | |
| 5 | 2014 | 93 | |
| 6 | 1999 | 89 | |
| 7 | 2005 | 55 | |
| 8 | 2014 | 42 | |
| 9 | 2003 | 28 | |
| 10 | 2009 | 22 | |
| 11 | 1991 | 20 | |
| 12 | 2014 | 16 | |
| 13 | 1999 | 11 | |
| 14 | 1994 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2017 | 2 | |
| 18 | 1995 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 1997 | 0 |
About Heather McQueen
Heather McQueen is a scholar working on Genetics, Molecular Biology, Education, Plant Science and Cancer Research, having authored 20 papers that have together received 858 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (6 papers), Innovative Teaching Methods (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Chromosomal and Genetic Variations (4 papers), Genomics and Chromatin Dynamics (4 papers), Online and Blended Learning (3 papers), Evaluation of Teaching Practices (2 papers) and Innovative Teaching and Learning Methods (2 papers). The work is most often cited by research in Genetics (476 citations), Reproductive Medicine (64 citations), Molecular Biology (364 citations), Plant Science (181 citations) and Computer Science Applications (24 citations). Heather McQueen has collaborated with scholars based in United Kingdom, Canada and Netherlands. Frequent co-authors include Adrian Bird, Michael Clinton, Derek McBride, Giorgia Siriaco, Sally H. Cross, Gino Miele, Alan Archibald, H. M. Sang, P.M. Hocking and P. D. Lewis. Their work appears in journals such as Chromosome Research, Mammalian Genome, Genetics Research, Current Biology and Gene.
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.