Amber N. Pursley

4.2k citations
28 papers · 1.4k indexed · h-index 20
Topics
Genomic variations and chromosomal abnormalities (23 papers)Prenatal Screening and Diagnostics (15 papers)Genomics and Rare Diseases (8 papers)

In The Last Decade

Amber N. Pursley

28 papers receiving 1.3k citations

Peers

Amber N. Pursley
Comparison fields: 5 of 63
  • Genetics 1.1k
  • Pediatrics, Perinatology and Child Health 690
  • Molecular Biology 498
  • Plant Science 250
  • Cognitive Neuroscience 74
Replace Franz Binkert with:
Franz Binkert Switzerland
Justine Coppinger United States
Beth S. Torchia United States
Isabel Lorda‐Sánchez Spain
Peih-Shan Wu Taiwan
Philippos C. Patsalis Cyprus
J. Britt Ravnan United States
Laurence Taine France
Carolina Sismani Cyprus
Cindy Melotte Belgium
Amber N. Pursley relative to Franz Binkert Switzerland Franz Binkert's profile →
Citations per field
00.5×7.2×
Franz Binkert · 1×
Citations per year

Countries citing papers authored by Amber N. Pursley

Since Specialization
Citations

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

Fields of papers citing papers by Amber N. Pursley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amber N. Pursley. 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 Amber N. Pursley. The network helps show where Amber N. Pursley may publish in the future.

Co-authorship network of co-authors of Amber N. Pursley

This figure shows the co-authorship network connecting the top 25 collaborators of Amber N. Pursley. A scholar is included among the top collaborators of Amber N. Pursley 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 Amber N. Pursley. Amber N. Pursley 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
#WorkIndexed citations
1 25
2 35
3 34
4 77
5 28
6 52
7 8
8 38
9 31
10 10
11 79
12 146
13 10
14 14
15 92
16 155
17 64
18 49
19 140
20 9

About Amber N. Pursley

Amber N. Pursley is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Developmental Biology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (23 papers), Prenatal Screening and Diagnostics (15 papers) and Genomics and Rare Diseases (8 papers). The work is most often cited by research in Genetics (1.1k citations), Pediatrics, Perinatology and Child Health (690 citations) and Developmental Biology (32 citations). Amber N. Pursley has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Sau Wai Cheung, Ankita Patel, James R. Lupski, Paweł Stankiewicz, Chad A. Shaw, Carlos A. Bacino, Arthur L. Beaudet, Weimin Bi, Trilochan Sahoo and Patricia A. Ward. Their work appears in journals such as Human Molecular Genetics, American Journal of Obstetrics and Gynecology and Human 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.

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