Eric Puravs

1.2k citations
11 papers · 1.0k indexed · h-index 9

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease

Papers in

Eric Puravs

11 papers receiving 1.0k citations

Peers

Eric Puravs
Comparison fields: 5 of 93
  • Spectroscopy 226
  • Cell Biology 202
  • Molecular Biology 755
  • Immunology 185
  • Radiology, Nuclear Medicine and Imaging 141
Replace Franck Brichory with:
Franck Brichory United States
John Tra United States
Hitto Kaufmann Germany
H. Christian Eberl Germany
J E Celis Denmark
Mariana Yaneva United States
Jun Ho Jang South Korea
Naveid Ali Australia
Jette B. Lauridsen Denmark
Troels Zakarias Kristiansen United States
Eric Puravs relative to Franck Brichory United States Franck Brichory's profile →
Citations per field
00.5×1.5×
Franck Brichory · 1×
Citations per year

Countries citing papers authored by Eric Puravs

Since Specialization
Citations

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

Fields of papers citing papers by Eric Puravs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 200767
2 200625
3
Identification of a Specific Vimentin Isoform That Induces an Antibody Response in Pancreatic Cancer.
200631
4 2004102
5 2003429
6 2002166
7 20021
8 200280
9 200161
10 200167
11 20013

About Eric Puravs

Eric Puravs is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Molecular Biology and Genetics, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Gene expression and cancer classification (3 papers), Glycosylation and Glycoproteins Research (2 papers), Peptidase Inhibition and Analysis (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Immunotherapy and Immune Responses (2 papers), Ubiquitin and proteasome pathways (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Spectroscopy (226 citations), Cell Biology (202 citations), Molecular Biology (755 citations), Immunology (185 citations) and Radiology, Nuclear Medicine and Imaging (141 citations). Eric Puravs has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Samir Hanash, David E. Misek, John Tra, Franck Brichory, Rong Zhao, Claire W. Michael, François Le Naour, Bong Kyung Shin, Jun Ho Jang and Hong Wang. Their work appears in journals such as PROTEOMICS, Journal of Biological Chemistry, Cancer Research, Biomarker Insights and PubMed.

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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