Eric N. Salgado

1.2k citations
15 papers · 983 · h-index 15

Impact in

    • Supramolecular Self-Assembly in Materials
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Advanced biosensing and bioanalysis techniques
    • Chemical Synthesis and Analysis

Papers in

Eric N. Salgado

15 papers receiving 970 citations

Peers

Eric N. Salgado
Comparison fields: 5 of 75
  • Biomaterials 195
  • Molecular Biology 563
  • Infectious Diseases 149
  • Animal Science and Zoology 78
  • Organic Chemistry 190
Replace Melissa S. T. Koay with:
Melissa S. T. Koay Netherlands
Duane E. Prasuhn United States
Dustin P. Patterson United States
Eva Kirchner Germany
Siddharth Patel United States
Israel Desta United States
Robert M. Yeh United States
Yaofeng Zhou China
Tyson J. Moyer United States
Eran Zahavy Israel
Eric N. Salgado relative to Melissa S. T. Koay Netherlands Melissa S. T. Koay's profile →
Citations per field
00.5×3.7×
Melissa S. T. Koay · 1×
Citations per year

Countries citing papers authored by Eric N. Salgado

Since Specialization
Citations

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

Fields of papers citing papers by Eric N. Salgado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric N. Salgado. 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 Eric N. Salgado. The network helps show where Eric N. Salgado may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2010235
2 2009120
3 2007111
4 200999
5 200970
6 200867
7 201057
8 201942
9 201438
10 201036
11 202132
12 201825
13 201722
14 201115
15 202214

About Eric N. Salgado

Eric N. Salgado is a scholar working on Molecular Biology, Infectious Diseases, Materials Chemistry, Cardiology and Cardiovascular Medicine and Animal Science and Zoology, having authored 15 papers that have together received 983 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Viral gastroenteritis research and epidemiology (6 papers), Enzyme Structure and Function (5 papers), Animal Virus Infections Studies (4 papers), Viral Infections and Immunology Research (4 papers), RNA and protein synthesis mechanisms (3 papers), Virus-based gene therapy research (2 papers) and Supramolecular Chemistry and Complexes (2 papers). The work is most often cited by research in Biomaterials (195 citations), Molecular Biology (563 citations), Infectious Diseases (149 citations), Animal Science and Zoology (78 citations) and Organic Chemistry (190 citations). Eric N. Salgado has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include F. Akif Tezcan, Robert J. Radford, Jeffrey D. Brodin, Richard A. Lewis, Xavier Ambroggio, Stephen C. Harrison, Richard A. Lewis, Brian Kuhlman, Nathaniel E. Clark and Harry Brumer. Their work appears in journals such as Journal of the American Chemical Society, Journal of Virology, Inorganic Chemistry, Accounts of Chemical Research and PLoS Pathogens.

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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