Eric Fontano

444 citations
6 papers · 351 · h-index 5

Impact in

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

Papers in

    • Protein Degradation and Inhibitors 2
    • Cancer-related gene regulation 1
    • Prion Diseases and Protein Misfolding 1
    • Protein Structure and Dynamics 1
    • Enzyme Structure and Function 3

Eric Fontano

6 papers receiving 336 citations

Peers

Eric Fontano
Comparison fields: 5 of 63
  • Hematology 102
  • Molecular Biology 282
  • Virology 14
  • Biomaterials 34
  • Physiology 64
Replace T. N. Murugova with:
T. N. Murugova Russia
Katrine Kirkeby Skeby Denmark
F. Henneberg Germany
Helen R. Sunshine United States
Žofie Sovová Czechia
Robert Polakowski Canada
Keren Sasson Israel
M.F. Lecompte France
Tânia C.B. Santos Portugal
Shubhangi Agarwal United States
Eric Fontano relative to T. N. Murugova Russia T. N. Murugova's profile →
Citations per field
00.5×4.8×
T. N. Murugova · 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

6 of 6 papers shown

About Eric Fontano

Eric Fontano is a scholar working on Molecular Biology, Materials Chemistry, Hematology, Infectious Diseases and Geochemistry and Petrology, having authored 6 papers that have together received 351 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 gene regulation (1 paper), Alzheimer's disease research and treatments (1 paper), Prion Diseases and Protein Misfolding (1 paper), HIV/AIDS drug development and treatment (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Hematology (102 citations), Molecular Biology (282 citations), Virology (14 citations), Biomaterials (34 citations) and Physiology (64 citations). Eric Fontano has collaborated with scholars based in United States and Germany. Frequent co-authors include D. L. D. Caspar, Henrik C. Hansen, Melinda Balbirnie, Robert Grothe, David Eisenberg, R.K. Suto, Kevin G. McLure, Rubén Díaz-Avalos, Olesya A. Kharenko and Peter R. Young. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, PLoS ONE and Journal of Molecular Biology.

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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