Sally Heywood

2.2k citations
8 papers · 1.4k indexed · 2 hit papers · h-index 4

Sally Heywood

7 papers receiving 1.3k citations

Hit Papers

The Human Gene Mutation Database (HGMD®): optimizing its ...4102017202620202023250500750

Peers

Sally Heywood
Comparison fields: 5 of 95
  • Genetics 504
  • Molecular Biology 798
  • Clinical Biochemistry 57
  • Sensory Systems 40
  • Genetics 78
Replace Matthew Hayden with:
Matthew Hayden United Kingdom
Michelle Hussain United Kingdom
Thomas C. Markello United States
Xueqiu Jian United States
Joshua L. Deignan United States
JT den Dunnen Netherlands
Faiqa Imtiaz Saudi Arabia
Akihiko Kudo Japan
Christophe A. Girard United Kingdom
Quan Li China
Sally Heywood relative to Matthew Hayden United Kingdom Matthew Hayden's profile →
Citations per field
00.5×1.5×
Matthew Hayden · 1×
Citations per year

Countries citing papers authored by Sally Heywood

Since Specialization
Citations

This map shows the geographic impact of Sally Heywood'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 Sally Heywood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sally Heywood more than expected).

Fields of papers citing papers by Sally Heywood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sally Heywood. 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 Sally Heywood. The network helps show where Sally Heywood may publish in the future.

Co-authorship network

The 16 scholars most cited alongside Sally Heywood, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sally Heywood Line = papers co-authored together Sally Heywood links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
The Human Gene Mutation Database (HGMD®): optimizing its use in a clinical diagnostic or research settingbreakdown →
2020410
2
The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studiesbreakdown →
2017921
3 20172
4 201210
5 20122
6 20122
7 20057
8 20040

About Sally Heywood

Sally Heywood is a scholar working on General Health Professions, Cancer Research and Organizational Behavior and Human Resource Management, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include Interprofessional Education and Collaboration (3 papers), Genomics and Rare Diseases (2 papers), Cancer Genomics and Diagnostics (2 papers), Nursing Roles and Practices (2 papers), Geriatric Care and Nursing Homes (2 papers), Child and Adolescent Health (1 paper), RNA modifications and cancer (1 paper) and Food Security and Health in Diverse Populations (1 paper). The work is most often cited by research in Genetics (504 citations), Molecular Biology (798 citations) and Clinical Biochemistry (57 citations). Sally Heywood has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Edward V. Ball, Peter D. Stenson, Andrew D. Phillips, Matthew Hayden, Matthew Mort, D.N. Cooper, Michelle Hussain, David Millar, Luı́sa Azevedo and Christine Norton. Their work appears in journals such as Human Genetics, Contraception and Nursing Standard.

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.

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