Bridget Yates

516 citations
12 papers · 319 · h-index 7

Impact in

  • Hematology top 10%
    • Hemophilia Treatment and Research
  • Genetics top 10%
    • Virus-based gene therapy research

Papers in

    • Virus-based gene therapy research 9
    • Viral Infectious Diseases and Gene Expression in Insects 5
    • CRISPR and Genetic Engineering 4
    • Mitochondrial Function and Pathology 1

Bridget Yates

11 papers receiving 311 citations

Peers

Bridget Yates
Comparison fields: 5 of 39
  • Hematology 88
  • Genetics 212
  • Oncology 118
  • Molecular Biology 187
  • Cellular and Molecular Neuroscience 31
Replace Junfang Zhou with:
Junfang Zhou United Kingdom
Esperanza López‐Franco Spain
Delphine Briot France
Elena Barbon France
Barrie Carter United States
Hanneke Evens Belgium
Chester Li United States
Federico Mingozzi France
Cecilia Rosales United Kingdom
K. Chu United States
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Citations per field
00.5×4.4×
Junfang Zhou · 1×
Citations per year

Countries citing papers authored by Bridget Yates

Since Specialization
Citations

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

Fields of papers citing papers by Bridget Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201779
2 202277
3 201759
4 201235
5 202230
6 202124
7 20236
8 20233
9 20243
10 20232
11 20231
12 20240

About Bridget Yates

Bridget Yates is a scholar working on Genetics, Molecular Biology, Infectious Diseases, Hematology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 319 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), CRISPR and Genetic Engineering (4 papers), Hemophilia Treatment and Research (3 papers), Mitochondrial Function and Pathology (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Parvovirus B19 Infection Studies (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Hematology (88 citations), Genetics (212 citations), Oncology (118 citations), Molecular Biology (187 citations) and Cellular and Molecular Neuroscience (31 citations). Bridget Yates has collaborated with scholars based in United States, United Kingdom and Saudi Arabia. Frequent co-authors include Sylvia Fong, Choong‐Ryoul Sihn, Stuart Bunting, Laurie Tsuruda, Chris B. Russell, Stephen J. Zoog, Brian Long, Christian Vettermann, Lening Zhang and Benjamin Kim. Their work appears in journals such as Molecular Therapy, Molecular Therapy — Methods & Clinical Development, Human Gene Therapy, Nature Medicine and Vaccine.

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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