Anne Pariser

1.9k citations
35 papers · 782 indexed · 1 hit paper · h-index 17

Impact in

Papers in

    • Genomics and Rare Diseases 16
    • CRISPR and Genetic Engineering 8
    • Biochemical and Molecular Research 4
    • Biomedical Text Mining and Ontologies 4

Anne Pariser

33 papers receiving 754 citations

Hit Papers

The national economic burden of rare disease in the United States in 2019 2022 · 98 citations
980+1+2Years since publication255075

Peers

Anne Pariser
Comparison fields: 5 of 103
  • Health Informatics 16
  • Genetics 229
  • Physiology 154
  • Genetics 60
  • Economics and Econometrics 137
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Citations per field
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Citations per year

Countries citing papers authored by Anne Pariser

Since Specialization
Citations

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

Fields of papers citing papers by Anne Pariser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008130
2
The national economic burden of rare disease in the United States in 2019
Hit paper breakdown →
202298
3 201891
4 202153
5 201249
6 202132
7 201730
8 201429
9 202026
10 201225
11 201022
12 201119
13 201218
14 201018
15 202216
16 201016
17 201016
18 201614
19 201213
20
Regulatory considerations for developing drugs for rare diseases: orphan designations and early phase clinical trials.
201112

About Anne Pariser

Anne Pariser is a scholar working on Genetics, Molecular Biology, Economics and Econometrics, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 35 papers that have together received 782 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (16 papers), CRISPR and Genetic Engineering (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Pharmaceutical Economics and Policy (6 papers), Pharmaceutical studies and practices (5 papers), Biochemical and Molecular Research (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Health Informatics (16 citations), Genetics (229 citations), Physiology (154 citations), Genetics (60 citations) and Economics and Econometrics (137 citations). Anne Pariser has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Petra Kaufmann, Christopher P. Austin, Amy S. Rosenberg, Annie Kennedy, Elizabeth W. Shores, Jay N. Lozier, Daniela Verthelyi, Jinhai Wang, Elisabeth Oehrlein and Inna Cintina. Their work appears in journals such as Orphanet Journal of Rare Diseases, Molecular Genetics and Metabolism, Nature Reviews Drug Discovery, Therapeutic Innovation & Regulatory Science and Journal of Biopharmaceutical Statistics.

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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