Ryan L. Collins

28.4k citations
28 papers · 1.3k indexed · 1 hit paper · h-index 15

Impact in

Papers in

    • Genomics and Rare Diseases 8
    • Genomic variations and chromosomal abnormalities 8
    • Genetics and Neurodevelopmental Disorders 2

Ryan L. Collins

27 papers receiving 1.2k citations

Hit Papers

Efficient Ablation of Genes in Human Hematopoietic Stem and Effector Cells using CRISPR/Cas9 2014 · 379 citations
3792014202620182022100200300

Peers

Ryan L. Collins
Comparison fields: 5 of 102
  • Business and International Management 118
  • Aging 68
  • Genetics 471
  • Molecular Biology 1.0k
  • Virology 41
Replace Daniel Benjamin Dadon with:
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Ryan L. Collins relative to Daniel Benjamin Dadon United States Daniel Benjamin Dadon's profile →
Citations per field
00.5×1.5×
Daniel Benjamin Dadon · 1×
Citations per year

Countries citing papers authored by Ryan L. Collins

Since Specialization
Citations

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

Fields of papers citing papers by Ryan L. Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan L. Collins. 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 Ryan L. Collins. The network helps show where Ryan L. Collins may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20256
2 20244
3 202335
4 20238
5 20232
6 202110
7 202120
8 20205
9 20192
10 20181
11 201614
12 201653
13 2014378
14 201419
15
Efficient Ablation of Genes in Human Hematopoietic Stem and Effector Cells using CRISPR/Cas9
Hit paper breakdown →
2014379
16 201427
17 201331
18 201356
19 200964
20 196649

About Ryan L. Collins

Ryan L. Collins is a scholar working on Aging, Genetics, Clinical Biochemistry, Behavioral Neuroscience and Cancer Research, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (8 papers), Genomic variations and chromosomal abnormalities (8 papers), CRISPR and Genetic Engineering (5 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Metabolism and Genetic Disorders (2 papers), Prenatal Screening and Diagnostics (2 papers), Genomics and Phylogenetic Studies (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Business and International Management (118 citations), Aging (68 citations), Genetics (471 citations), Molecular Biology (1.0k citations) and Virology (41 citations). Ryan L. Collins has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Michael E. Talkowski, Harrison Brand, Chad A. Cowan, Kiran Musunuru, Ashok Ragavendran, Serkan Erdin, Qiurong Ding, Adrian Veres, Bridget S. Gosis and Alexei Stortchevoi. Their work appears in journals such as Cell stem cell, The American Journal of Human Genetics, European Neuropsychopharmacology, Nature Genetics and Journal of Pharmacology and Experimental Therapeutics.

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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