Chase C. Suiter

811 citations
5 papers · 333 · 1 hit paper · h-index 5

Impact in

Papers in

    • CRISPR and Genetic Engineering 2
    • Single-cell and spatial transcriptomics 2
    • RNA and protein synthesis mechanisms 1
    • Ubiquitin and proteasome pathways 1
    • Gene Regulatory Network Analysis 1

Chase C. Suiter

5 papers receiving 330 citations

Chase C. Suiter's Hit Papers

Precise genomic deletions using paired prime editing 2021 · 189 citations
1890+1+3Years since publication50100150

Peers

Chase C. Suiter
Comparison fields: 5 of 51
  • Business and International Management 15
  • Aging 12
  • Molecular Biology 293
  • Genetics 74
  • Biophysics 12
Replace Michael V. Zuccaro with:
Michael V. Zuccaro United States
Jake Crawford United States
Dexuan Cui Hong Kong
Christine R. Zheng United States
Shaoshuai Mao China
Sinje Geuer Germany
Jonathan M. Geisinger United States
Zongyi Yi China
Izabela Harabula Germany
Suming Yang China
Chase C. Suiter relative to Michael V. Zuccaro United States Michael V. Zuccaro's profile →
Citations per field
00.5×
Michael V. Zuccaro · 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 20 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 333 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Single-cell and spatial transcriptomics (2 papers), Cytomegalovirus and herpesvirus research (1 paper), RNA and protein synthesis mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper), Diet and metabolism studies (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Business and International Management (15 citations), Aging (12 citations), Molecular Biology (293 citations), Genetics (74 citations) and Biophysics (12 citations). Chase C. Suiter has collaborated with scholars based in United States. Frequent co-authors include Choli Lee, Beth Martin, Jay Shendure, 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 Molecular Cell, Nature Biotechnology, Nature Methods, Nature 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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