Daniel Schaeffer
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- Glycosylation and Glycoproteins Research
- Mitochondrial Function and Pathology
- Ubiquitin and proteasome pathways
- Photosynthetic Processes and Mechanisms
Papers in
-
- Genomics and Phylogenetic Studies 1
- Metabolomics and Mass Spectrometry Studies 1
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- Advanced Proteomics Techniques and Applications 2
- Mass Spectrometry Techniques and Applications 2
- Co-authors
- Lydia M. Nuwaysir (2 shared papers)Sean L. Seymour (2 shared papers)Wilfred H. Tang (2 shared papers)Alpesh A. Patel (2 shared papers)Christie L. Hunter (1 shared paper)Sherwood Casjens (1 shared paper)Julianne H. Grose (1 shared paper)Ruchira Sharma (1 shared paper)
- Journals
- Analytical Chemistry (1 paper)Molecular & Cellular Proteomics (1 paper)Microbiology Resource Announcements (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Schaeffer
3 papers receiving 1.2k citations
Daniel Schaeffer's Hit Papers
Peers
Comparison fields: 5 of 116
- Spectroscopy 301
- Molecular Biology 742
- Microbiology 34
- Cell Biology 81
- Immunology and Allergy 28
Countries citing papers authored by Daniel Schaeffer
This map shows the geographic impact of Daniel Schaeffer'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 Daniel Schaeffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schaeffer more than expected).
Fields of papers citing papers by Daniel Schaeffer
This network shows the impact of papers produced by Daniel Schaeffer. 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 Daniel Schaeffer. The network helps show where Daniel Schaeffer may publish in the future.
Co-authors
The 9 scholars most cited alongside Daniel Schaeffer, 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 | The Paragon Algorithm, a Next Generation Search Engine That Uses Sequence Temperature Values and Feature Probabilities to Identify Peptides from Tandem Mass Spectra Hit paper breakdown → | 2007 | 1131 |
| 2 | 2005 | 59 | |
| 3 | 2022 | 4 |
About Daniel Schaeffer
Daniel Schaeffer is a scholar working on Molecular Biology, Spectroscopy, Ecology, Oncology and Infectious Diseases, having authored 3 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Genomics and Phylogenetic Studies (1 paper), Bacteriophages and microbial interactions (1 paper), Microbial Community Ecology and Physiology (1 paper), Peptidase Inhibition and Analysis (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Spectroscopy (301 citations), Molecular Biology (742 citations), Microbiology (34 citations), Cell Biology (81 citations) and Immunology and Allergy (28 citations). Daniel Schaeffer has collaborated with scholars based in United States. Frequent co-authors include Lydia M. Nuwaysir, Sean L. Seymour, Wilfred H. Tang, Alpesh A. Patel, Christie L. Hunter, Sherwood Casjens, Julianne H. Grose, Ruchira Sharma and Min‐Ji Kim. Their work appears in journals such as Analytical Chemistry, Molecular & Cellular Proteomics and Microbiology Resource Announcements.
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.