Chris Etienne

1.1k citations
10 papers · 818 indexed · 1 hit paper · h-index 8
Topics
Mass Spectrometry Techniques and Applications (5 papers)Advanced Proteomics Techniques and Applications (4 papers)Advanced Biosensing Techniques and Applications (2 papers)

In The Last Decade

Chris Etienne

10 papers receiving 810 citations

Hit Papers

TMTpro reagents: a set of isobaric labeling mass tags ena...2020202620222024202050100150200250

Peers

Chris Etienne
Comparison fields: 5 of 86
  • Molecular Biology 643
  • Spectroscopy 312
  • Cellular and Molecular Neuroscience 217
  • Organic Chemistry 86
  • Physiology 83
Replace Cliff I. Stains with:
Cliff I. Stains United States
Gabriela Grigorean United States
Darren L. Beene United States
Douglas F. Covey United States
Aenoch J. Lynn United States
Sascha Hoogendoorn Netherlands
Nathan Collins United States
Md. Mamunul Haque South Korea
Evan Crocker United States
Hai‐Young Kim Germany
Chris Etienne relative to Cliff I. Stains United States Cliff I. Stains's profile →
Citations per field
00.5×4.8×
Cliff I. Stains · 1×
Citations per year

Countries citing papers authored by Chris Etienne

Since Specialization
Citations

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

Fields of papers citing papers by Chris Etienne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Etienne. 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 Chris Etienne. The network helps show where Chris Etienne may publish in the future.

Co-authorship network of co-authors of Chris Etienne

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Etienne. A scholar is included among the top collaborators of Chris Etienne 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 Chris Etienne. Chris Etienne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 7
2 46
3 3
4
TMTpro reagents: a set of isobaric labeling mass tags enables simultaneous proteome-wide measurements across 16 samplesbreakdown →
297
5 15
6 44
7 54
8 105
9 1
10 246

About Chris Etienne

Chris Etienne is a scholar working on Spectroscopy, Pharmaceutical Science and Molecular Biology, having authored 10 papers that have together received 818 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and Advanced Biosensing Techniques and Applications (2 papers). The work is most often cited by research in Spectroscopy (312 citations), Cellular and Molecular Neuroscience (217 citations) and Molecular Biology (643 citations). Chris Etienne has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Ryan Bomgarden, John C. Rogers, David J. Daniels, Philip S. Portoghese, Sandra C. Roerig, Ping‐Yee Law, Natalie R. Lenard, Karsten Kuhn, Premchendar Nandhikonda and Rosa Viner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

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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