Debbie Shears
Impact in
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- Growth Hormone and Insulin-like Growth Factors
- Pituitary Gland Disorders and Treatments
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- Connective tissue disorders research
- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
Papers in
- Co-authors
- T. Chard (1 shared paper)Jeffrey M P Holly (1 shared paper)Junji Wasa (1 shared paper)Shaima Alothman (1 shared paper)Damien Lederer (1 shared paper)Valérie Benoît (1 shared paper)Isabelle Maystadt (1 shared paper)Christine Verellen‐Dumoulin (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (1 paper)Clinical Endocrinology (1 paper)American Journal of Medical Genetics Part A (2 papers)Endocrine Abstracts (1 paper)
- Partner nations
- United KingdomBelgiumNetherlands
In The Last Decade
Debbie Shears
5 papers receiving 154 citations
Peers
Comparison fields: 5 of 36
- Endocrinology, Diabetes and Metabolism 53
- Genetics 75
- Immunology and Allergy 14
- Pathology and Forensic Medicine 13
- Molecular Biology 44
Countries citing papers authored by Debbie Shears
This map shows the geographic impact of Debbie Shears'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 Debbie Shears with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debbie Shears more than expected).
Fields of papers citing papers by Debbie Shears
This network shows the impact of papers produced by Debbie Shears. 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 Debbie Shears. The network helps show where Debbie Shears may publish in the future.
Co-authors
The 25 scholars most cited alongside Debbie Shears, 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 | 2007 | 61 | |
| 2 | 1991 | 53 | |
| 3 | 2014 | 33 | |
| 4 | 2014 | 6 | |
| 5 | 2021 | 2 |
About Debbie Shears
Debbie Shears is a scholar working on Genetics, Surgery, Pathology and Forensic Medicine, Hematology and Endocrinology, Diabetes and Metabolism, having authored 5 papers that have together received 155 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (1 paper), Genomics and Rare Diseases (1 paper), Pituitary Gland Disorders and Treatments (1 paper), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Diabetes and associated disorders (1 paper), Genetic factors in colorectal cancer (1 paper), Genomic variations and chromosomal abnormalities (1 paper) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (53 citations), Genetics (75 citations), Immunology and Allergy (14 citations), Pathology and Forensic Medicine (13 citations) and Molecular Biology (44 citations). Debbie Shears has collaborated with scholars based in United Kingdom, Belgium and Netherlands. Frequent co-authors include T. Chard, Jeffrey M P Holly, Junji Wasa, Shaima Alothman, Damien Lederer, Valérie Benoît, Isabelle Maystadt, Christine Verellen‐Dumoulin, Dunja Niedrist and Leena Ala‐Kokko. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, American Journal of Medical Genetics Part A and Endocrine Abstracts.
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.