Chase C. Suiter

778 citations
5 papers · 303 · 1 hit paper · h-index 4

Impact in

Papers in

    • Single-cell and spatial transcriptomics 2
    • CRISPR and Genetic Engineering 2
    • RNA Research and Splicing 1
    • Protein Degradation and Inhibitors 1
    • Metabolomics and Mass Spectrometry Studies 1
    • RNA and protein synthesis mechanisms 1
    • Cancer-related Molecular Pathways 1

Chase C. Suiter

5 papers receiving 300 citations

Chase C. Suiter's Hit Papers

Precise genomic deletions using paired prime editing 2021 · 179 citations
1790+1+3Years since publication50100150

Peers

Chase C. Suiter
Comparison fields: 5 of 52
  • Business and International Management 15
  • Aging 12
  • Molecular Biology 273
  • Genetics 76
  • Biophysics 12
Replace Dexuan Cui with:
Dexuan Cui Hong Kong
Birong Cao China
Jake Crawford United States
Michael V. Zuccaro United States
Claire Domenger Germany
Kirsten E Snijders United Kingdom
Bjørt K. Kragesteen Germany
Sinje Geuer Germany
Shaoshuai Mao China
Marina Borschiwer Germany
Chase C. Suiter relative to Dexuan Cui Hong Kong Dexuan Cui's profile →
Citations per field
00.5×
Dexuan Cui · 1×
Citations per year

Countries citing papers authored by Chase C. Suiter

Since Specialization
Citations

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

Fields of papers citing papers by Chase C. Suiter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chase C. Suiter. 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 Chase C. Suiter. The network helps show where Chase C. Suiter may publish in the future.

Co-authors

The 21 scholars most cited alongside Chase C. Suiter, 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 Chase C. Suiter Line = papers co-authored together Chase C. Suiter links everyone, so they are left out of the graph.

All Works

About Chase C. Suiter

Chase C. Suiter is a scholar working on Molecular Biology, Oncology, Epidemiology, Physiology and Plant Science, having authored 5 papers that have together received 303 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), CRISPR and Genetic Engineering (2 papers), Cytomegalovirus and herpesvirus research (1 paper), RNA Research and Splicing (1 paper), Protein Degradation and Inhibitors (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Cancer-related Molecular Pathways (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Business and International Management (15 citations), Aging (12 citations), Molecular Biology (273 citations), Genetics (76 citations) and Biophysics (12 citations). Chase C. Suiter has collaborated with scholars based in United States. Frequent co-authors include Jay Shendure, Choli Lee, Beth Martin, Florence M. Chardon, Riza M. Daza, Junhong Choi, Wei Chen, Anh Leith, Silvia Domcke and Samuel G. Regalado. Their work appears in journals such as Nature Methods, Molecular Cell, Nature, Nature Biotechnology and Cardiovascular & Hematological Agents in Medicinal 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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