Bridget S. Gosis

1.6k citations
8 papers · 1.2k indexed · 1 hit paper · h-index 8
Topics
CRISPR and Genetic Engineering (4 papers)Liver Disease Diagnosis and Treatment (2 papers)PI3K/AKT/mTOR signaling in cancer (2 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Bridget S. Gosis

8 papers receiving 1.2k citations

Hit Papers

Permanent Alteration of PCSK9 With In Vivo CRISPR-Cas9 Ge...20142026201820222014100200300400

Peers

Bridget S. Gosis
Comparison fields: 5 of 74
  • Molecular Biology 901
  • Genetics 226
  • Epidemiology 220
  • Surgery 140
  • Business and International Management 133
Replace Xiaosa Li with:
Xiaosa Li China
Kim A. Lagerborg United States
Yongmei Li China
Xueyun Ma China
Yuichiro Amano Japan
Jun-Ichi Sakamaki Japan
Séverine Celton‐Morizur France
Nai-Wen Chi United States
Thomas C. Raissi Canada
Efrén Riu Spain
Bridget S. Gosis relative to Xiaosa Li China Xiaosa Li's profile →
Citations per field
00.5×12×
Xiaosa Li · 1×
Citations per year

Countries citing papers authored by Bridget S. Gosis

Since Specialization
Citations

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

Fields of papers citing papers by Bridget S. Gosis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bridget S. Gosis

This figure shows the co-authorship network connecting the top 25 collaborators of Bridget S. Gosis. A scholar is included among the top collaborators of Bridget S. Gosis 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 Bridget S. Gosis. Bridget S. Gosis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 101
2 24
3 99
4 151
5 378
6 19
7
Permanent Alteration of PCSK9 With In Vivo CRISPR-Cas9 Genome Editingbreakdown →
402
8 12

About Bridget S. Gosis

Bridget S. Gosis is a scholar working on Aging, Physiology and Biochemistry, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Liver Disease Diagnosis and Treatment (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Business and International Management (133 citations), Aging (66 citations) and Molecular Biology (901 citations). Bridget S. Gosis has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Qiurong Ding, Kiran Musunuru, Chad A. Cowan, Daniel J. Rader, Sze‐Ling Ng, Kevin Patel, Alanna Strong, Ryan L. Collins, Ashok Ragavendran and Harrison Brand. Their work appears in journals such as Nature, Science and Circulation Research.

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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