Ryan Peckner
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Bioinformatics and Genomic Networks
Papers in
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- Bioinformatics and Genomic Networks 2
- Biomedical Text Mining and Ontologies 2
- Ubiquitin and proteasome pathways 1
- Protein Degradation and Inhibitors 1
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- Advanced Proteomics Techniques and Applications 4
- Co-authors
- Steven A. Carr (5 shared papers)Samuel A. Myers (4 shared papers)Brian T. Kalish (1 shared paper)Feng Zhang (1 shared paper)Jason Wright (1 shared paper)Jacob D. Jaffe (5 shared papers)Alvaro Sebastian Vaca Jácome (4 shared papers)Michael J. MacCoss (2 shared papers)
- Journals
- Nature Methods (3 papers)Molecular & Cellular Proteomics (2 papers)Blood (1 paper)Patterns (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- United StatesTürkiye
In The Last Decade
Ryan Peckner
7 papers receiving 334 citations
Peers
Comparison fields: 5 of 61
- Spectroscopy 114
- Molecular Biology 257
- Cell Biology 54
- Aging 3
- Acoustics and Ultrasonics 1
Countries citing papers authored by Ryan Peckner
This map shows the geographic impact of Ryan Peckner'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 Ryan Peckner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Peckner more than expected).
Fields of papers citing papers by Ryan Peckner
This network shows the impact of papers produced by Ryan Peckner. 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 Ryan Peckner. The network helps show where Ryan Peckner may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Peckner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 130 | |
| 2 | 2019 | 79 | |
| 3 | 2018 | 55 | |
| 4 | 2021 | 42 | |
| 5 | 2020 | 21 | |
| 6 | 2019 | 10 | |
| 7 | 2024 | 3 | |
| 8 | 2020 | 0 |
About Ryan Peckner
Ryan Peckner is a scholar working on Molecular Biology, Spectroscopy, Organic Chemistry, Pharmacology and Oncology, having authored 8 papers that have together received 340 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Bioinformatics and Genomic Networks (2 papers), Biomedical Text Mining and Ontologies (2 papers), Ubiquitin and proteasome pathways (1 paper), Click Chemistry and Applications (1 paper), Enzyme Structure and Function (1 paper), Protein Degradation and Inhibitors (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). The work is most often cited by research in Spectroscopy (114 citations), Molecular Biology (257 citations), Cell Biology (54 citations), Aging (3 citations) and Acoustics and Ultrasonics (1 citation). Ryan Peckner has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Steven A. Carr, Samuel A. Myers, Brian T. Kalish, Feng Zhang, Jason Wright, Jacob D. Jaffe, Alvaro Sebastian Vaca Jácome, Michael J. MacCoss, Karsten Krug and Jarrett D. Egertson. Their work appears in journals such as Nature Methods, Molecular & Cellular Proteomics, Blood, Patterns and SSRN Electronic Journal.
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.