Daniel Schaeffer

1.4k citations
3 papers · 1.2k indexed · 1 hit paper · h-index 3

Daniel Schaeffer

3 papers receiving 1.2k citations

Hit Papers

The Paragon Algorithm, a Next Generation Search Engine Th...1.1k20072026201320192505007501000

Peers

Daniel Schaeffer
Comparison fields: 5 of 116
  • Spectroscopy 301
  • Molecular Biology 742
  • Microbiology 34
  • Cell Biology 81
  • Immunology and Allergy 28
Replace Sean L. Seymour with:
Sean L. Seymour United States
Angelika Görg Germany
Hans Christian Beck Denmark
T. William Jordan New Zealand
Mustafa Ünlü United States
Rachel A. Harry United Kingdom
Alexander I. Saeed United States
Tom Berkelman United States
Michael A. Kuzyk Canada
Dominik Domański Canada
Daniel Schaeffer relative to Sean L. Seymour United States Sean L. Seymour's profile →
Citations per field
00.5×1.5×
Sean L. Seymour · 1×
Citations per year

Countries citing papers authored by Daniel Schaeffer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Daniel Schaeffer Line = papers co-authored together Daniel Schaeffer links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 20224
2
The Paragon Algorithm, a Next Generation Search Engine That Uses Sequence Temperature Values and Feature Probabilities to Identify Peptides from Tandem Mass Spectrabreakdown →
20071131
3 200559

About Daniel Schaeffer

Daniel Schaeffer is a scholar working on Spectroscopy, Ecology, Oncology, Molecular Biology and Infectious Diseases, having authored 3 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Peptidase Inhibition and Analysis (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Genomics and Phylogenetic Studies (1 paper), Bacteriophages and microbial interactions (1 paper) and Microbial Community Ecology and Physiology (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, Alpesh A. Patel, Sean L. Seymour, Wilfred H. Tang, Christie L. Hunter, Min‐Ji Kim, Julianne H. Grose, Sherwood Casjens and Ruchira Sharma. 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.

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