Susie Suh

2.0k citations
34 papers · 1.1k indexed · 1 hit paper · h-index 16

Susie Suh

31 papers receiving 1.1k citations

Hit Papers

Engineered virus-like particles for efficient in vivo del...20222026202320242022100200300

Peers

Susie Suh
Comparison fields: 5 of 101
  • Molecular Biology 823
  • Genetics 242
  • Ophthalmology 134
  • Cellular and Molecular Neuroscience 109
  • Dermatology 85
Replace Subba Rao Gangi Setty with:
Subba Rao Gangi Setty India
Sonja Hombach Germany
Emmanuelle Bitoun United Kingdom
Susan H. Kidson South Africa
Douglas H. Lester United Kingdom
Gian Marco De Donatis United States
Ana B. Chepelinsky United States
John James United Kingdom
Ting Xie China
Jeffrey Toy Canada
Susie Suh relative to Subba Rao Gangi Setty India Subba Rao Gangi Setty's profile →
Citations per field
00.5×7.9×
Subba Rao Gangi Setty · 1×
Citations per year

Countries citing papers authored by Susie Suh

Since Specialization
Citations

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

Fields of papers citing papers by Susie Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susie Suh

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 1
5 4
6 1
7 33
8 60
9
Engineered virus-like particles for efficient in vivo delivery of therapeutic proteinsbreakdown →
397
10 3
11 18
12 26
13 4
14 49
15 4
16 116
17 11
18
Novel AAV Capsids Demonstrate Strong Retinal Expression in Non-Human Primates After Intravitreal Administration
1
19 23
20 105

About Susie Suh

Susie Suh is a scholar working on Ophthalmology, Urology and Dermatology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retinal Development and Disorders (13 papers), CRISPR and Genetic Engineering (6 papers) and Retinal Diseases and Treatments (5 papers). The work is most often cited by research in Ophthalmology (134 citations), Business and International Management (25 citations) and Molecular Biology (823 citations). Susie Suh has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include Elliot H. Choi, Krzysztof Palczewski, David R. Liu, Gregory A. Newby, Aditya Raguram, Natasha Atanaskova Mesinkovska, Samuel W. Du, Samagya Banskota, Xiao Wang and Mark J. Osborn. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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