Eric Fontano

450 citations
7 papers · 388 · h-index 5

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Protein Degradation and Inhibitors
    • Histone Deacetylase Inhibitors Research
    • Ubiquitin and proteasome pathways
    • Protein Structure and Dynamics
    • Prion Diseases and Protein Misfolding

Papers in

    • Multiple Myeloma Research and Treatments 2
    • Enzyme Structure and Function 3
    • Quasicrystal Structures and Properties 1

Eric Fontano

7 papers receiving 365 citations

Peers

Eric Fontano
Comparison fields: 5 of 62
  • Hematology 109
  • Molecular Biology 303
  • Physiology 67
  • Virology 12
  • Biomaterials 35
Replace José A. Villegas with:
José A. Villegas United States
Esther Reichstein Canada
Rebecca A. Faulkner United States
Robert Polakowski Canada
F. Henneberg Germany
M.F. Lecompte France
Sailaja Arungundram United States
Shubhangi Agarwal United States
J. Jared Gossett United States
Mariarosaria De Simone Italy
Eric Fontano relative to José A. Villegas United States José A. Villegas's profile →
Citations per field
00.5×5×10×15×20×24×
José A. Villegas · 1×
Citations per year

Countries citing papers authored by Eric Fontano

Since Specialization
Citations

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

Fields of papers citing papers by Eric Fontano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Eric Fontano, 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 Fontano Line = papers co-authored together Eric Fontano links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2013167
2 200393
3 201652
4 199651
5 199419
6 20034
7 20252

About Eric Fontano

Eric Fontano is a scholar working on Hematology, Materials Chemistry, Molecular Biology, Geochemistry and Petrology and Physical and Theoretical Chemistry, having authored 7 papers that have together received 388 indexed citations. Recurring topics across this work include Enzyme Structure and Function (3 papers), Protein Degradation and Inhibitors (2 papers), Multiple Myeloma Research and Treatments (2 papers), Cancer-related Molecular Pathways (1 paper), Cell death mechanisms and regulation (1 paper), Molecular Sensors and Ion Detection (1 paper), Quasicrystal Structures and Properties (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Hematology (109 citations), Molecular Biology (303 citations), Physiology (67 citations), Virology (12 citations) and Biomaterials (35 citations). Eric Fontano has collaborated with scholars based in United States. Frequent co-authors include Donald L. D. Caspar, Kevin G. McLure, Peter R. Young, R.K. Suto, Olesya A. Kharenko, Henrik Claus Hansen, Emily M. Gesner, André White, Melinda Balbirnie and Robert Grothe. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE, Bioorganic & Medicinal Chemistry Letters, Journal of Molecular Biology and Biochemical and Biophysical Research Communications.

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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