Gary E. Gorbet

476 citations
14 papers · 283 · h-index 11

Impact in

Papers in

Gary E. Gorbet

14 papers receiving 274 citations

Peers

Gary E. Gorbet
Comparison fields: 5 of 70
  • Information Systems and Management 22
  • Molecular Biology 199
  • Biomedical Engineering 77
  • Biomaterials 19
  • Computational Mechanics 28
Replace Yousr Skhiri with:
Yousr Skhiri France
Andrew Hatch United States
Qiang Kou United States
Samer Halabiya United States
Yuechuan Zhang China
David Winogradoff United States
Alexei Lapin Germany
Amar Singh India
Shunsuke F. Shimobayashi Japan
Gary E. Gorbet relative to Yousr Skhiri France Yousr Skhiri's profile →
Citations per field
00.5×1.5×2.3×
Yousr Skhiri · 1×
Citations per year

Countries citing papers authored by Gary E. Gorbet

Since Specialization
Citations

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

Fields of papers citing papers by Gary E. Gorbet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary E. Gorbet. 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 Gary E. Gorbet. The network helps show where Gary E. Gorbet may publish in the future.

Co-authors

The 25 scholars most cited alongside Gary E. Gorbet, 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 Gary E. Gorbet Line = papers co-authored together Gary E. Gorbet links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201454
2 202138
3 201432
4 201529
5 201626
6 201622
7 202019
8 201817
9 201815
10 202211
11 201810
12 20147
13 20132
14 20181

About Gary E. Gorbet

Gary E. Gorbet is a scholar working on Molecular Biology, Computer Networks and Communications, Information Systems and Management, Biomedical Engineering and Computational Mechanics, having authored 14 papers that have together received 283 indexed citations. Recurring topics across this work include Protein purification and stability (7 papers), Distributed and Parallel Computing Systems (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Scientific Computing and Data Management (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers), Field-Flow Fractionation Techniques (2 papers), Crystallization and Solubility Studies (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Information Systems and Management (22 citations), Molecular Biology (199 citations), Biomedical Engineering (77 citations), Biomaterials (19 citations) and Computational Mechanics (28 citations). Gary E. Gorbet has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Borries Demeler, Amy Henrickson, Helmut Cölfen, Suresh Marru, Alexey Savelyev, Pieter R. Cullis, Jayesh A. Kulkarni, Marlon Pierce, Josh Zaifman and Eileen M. Lafer. Their work appears in journals such as European Biophysics Journal, The FASEB Journal, PLoS Computational Biology, Analytical Chemistry and ACS Nano.

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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