Todd M. Billeci

1.7k citations
6 papers · 1.3k indexed · 1 hit paper · h-index 6
Topics
Advanced Proteomics Techniques and Applications (3 papers)RNA and protein synthesis mechanisms (3 papers)Mass Spectrometry Techniques and Applications (3 papers)
Partner nations
United StatesPoland

In The Last Decade

Todd M. Billeci

6 papers receiving 1.2k citations

Hit Papers

Identifying proteins from two-dimensional gels by molecul...19932026200420151993250500750

Peers

Todd M. Billeci
Comparison fields: 5 of 97
  • Molecular Biology 886
  • Spectroscopy 811
  • Materials Chemistry 79
  • Biomedical Engineering 68
  • Virology 64
Replace John A. Chakel with:
John A. Chakel United States
Klaus Rumpel United Kingdom
Martin Schuerenberg Germany
Gerd R. Kleemann United States
Tobias Knaute Germany
Scott J. Berger United States
Kathleen S. Molnar United States
Daniel A. Polasky United States
Jochen Franzen Germany
Giuseppe Infusini Australia
Todd M. Billeci relative to John A. Chakel United States John A. Chakel's profile →
Citations per field
00.5×10.7×
John A. Chakel · 1×
Citations per year

Countries citing papers authored by Todd M. Billeci

Since Specialization
Citations

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

Fields of papers citing papers by Todd M. Billeci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd M. Billeci. 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 Todd M. Billeci. The network helps show where Todd M. Billeci may publish in the future.

Co-authorship network of co-authors of Todd M. Billeci

This figure shows the co-authorship network connecting the top 25 collaborators of Todd M. Billeci. A scholar is included among the top collaborators of Todd M. Billeci based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Todd M. Billeci. Todd M. Billeci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 12
2 23
3 141
4 28
5 110
6
Identifying proteins from two-dimensional gels by molecular mass searching of peptide fragments in protein sequence databases.breakdown →
982

About Todd M. Billeci

Todd M. Billeci is a scholar working on Virology, Spectroscopy and Molecular Biology, having authored 6 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), RNA and protein synthesis mechanisms (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Spectroscopy (811 citations), Virology (64 citations) and Molecular Biology (886 citations). Todd M. Billeci has collaborated with scholars based in United States and Poland. Frequent co-authors include John T. Stults, Susan Wong, William J. Henzel, Colin Watanabe, Thomas Leroy James, Jared L. Clever, Tristram G. Parslow, Anwer Mujeeb, James H. Bourell and Bolesław T. Karwowski. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Analytical 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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