Patricia Heard

1.2k total citations
22 papers, 499 citations indexed

About

Patricia Heard is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Patricia Heard has authored 22 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 13 papers in Molecular Biology and 6 papers in Plant Science. Recurrent topics in Patricia Heard's work include Genomic variations and chromosomal abnormalities (16 papers), Genetics and Neurodevelopmental Disorders (9 papers) and Congenital heart defects research (7 papers). Patricia Heard is often cited by papers focused on Genomic variations and chromosomal abnormalities (16 papers), Genetics and Neurodevelopmental Disorders (9 papers) and Congenital heart defects research (7 papers). Patricia Heard collaborates with scholars based in United States, Netherlands and Italy. Patricia Heard's co-authors include Jannine D. Cody, Daniel E. Hale, Courtney Sebold, Bridgette Soileau, Erika Carter, Louise O’Donnell, Brian P. Perry, Annice Hill, Jack L. Lancaster and Peter T. Fox and has published in prestigious journals such as Journal of Medical Genetics, Human Mutation and Human Genetics.

In The Last Decade

Patricia Heard

21 papers receiving 417 citations

Peers

Patricia Heard
Comparison fields: 5 of 45
  • Genetics 391
  • Molecular Biology 210
  • Pediatrics, Perinatology and Child Health 111
  • Plant Science 98
  • Genetics 41
Replace Courtney Sebold with:
Courtney Sebold United States
Bridgette Soileau United States
Nicole Maas Belgium
Mónica Rosello Spain
Viv Maloney United Kingdom
Anna Capalbo Italy
Joo Wook Ahn United Kingdom
Ryan N. Traylor United States
Rachel D. Burnside United States
Mauro Pierluigi Italy
Courtney Sebold United States View profile →
Citations per field, relative to Patricia Heard
Patricia Heard · 1×
Citations per year, relative to Patricia Heard
Patricia Heard · 1×

Countries citing papers authored by Patricia Heard

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Heard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Heard

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Heard. A scholar is included among the top collaborators of Patricia Heard 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 Patricia Heard. Patricia Heard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 3
3 12
4 57
5 28
6 46
7 7
8 28
9 39
10 5
11 50
12 17
13 10
14 42
15 14
16 43
17 18
18 31
19 1
20 0

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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