Amanda Dobbyn

7.4k citations
11 papers · 281 · h-index 7

Impact in

  • Nephrology top 10%
    • Gout, Hyperuricemia, Uric Acid
    • Genetic Associations and Epidemiology
    • Genomics and Rare Diseases

Papers in

    • Genetic Associations and Epidemiology 4
    • Genetics and Neurodevelopmental Disorders 2
    • Genetic Syndromes and Imprinting 2
    • Genomics and Rare Diseases 1
    • Bioinformatics and Genomic Networks 2
    • RNA modifications and cancer 2

Amanda Dobbyn

11 papers receiving 276 citations

Peers

Amanda Dobbyn
Comparison fields: 5 of 76
  • Nephrology 38
  • Genetics 80
  • Molecular Biology 123
  • Cancer Research 21
  • Cardiology and Cardiovascular Medicine 30
Replace Giuseppina Casu with:
Giuseppina Casu Italy
X. Piguel France
Diptavo Dutta United States
Jingning Zhang United States
Margot J. Wyrwoll Germany
Maria Schäche Australia
Priyanka Rashmi United States
Katherine G. Langley United States
Zehra Yavaş Abalı Türkiye
Haoran Xue United States
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Citations per field
00.5×10×20×30×43×
Giuseppina Casu · 1×
Citations per year

Countries citing papers authored by Amanda Dobbyn

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Dobbyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amanda Dobbyn, 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 Amanda Dobbyn Line = papers co-authored together Amanda Dobbyn links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201967
2 201563
3 201748
4 202043
5 202025
6 202017
7 202214
8 20171
9 20221
10 20191
11
Accesses the Monkeylearn API for Text Classifiers and Extractors [R package monkeylearn version 0.2.0]
20181

About Amanda Dobbyn

Amanda Dobbyn is a scholar working on Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Clinical Psychology and Computational Theory and Mathematics, having authored 11 papers that have together received 281 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Genetics and Neurodevelopmental Disorders (2 papers), Genetic Syndromes and Imprinting (2 papers), Bioinformatics and Genomic Networks (2 papers), Eating Disorders and Behaviors (2 papers), RNA modifications and cancer (2 papers), Diet and metabolism studies (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Nephrology (38 citations), Genetics (80 citations), Molecular Biology (123 citations), Cancer Research (21 citations) and Cardiology and Cardiovascular Medicine (30 citations). Amanda Dobbyn has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Eli A. Stahl, Ron Do, Panos Roussos, Hong‐Hee Won, Joseph D. Buxbaum, Kasper Lage, Soumya Raychaudhuri, Pradeep Natarajan, Daniel M. Jordan and Pamela Sklar. Their work appears in journals such as European Neuropsychopharmacology, Science Advances, PLoS Genetics, Arthritis & Rheumatology and Circulation Genomic and Precision Medicine.

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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