Eric Puravs
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Gene expression and cancer classification 3
- Ubiquitin and proteasome pathways 2
- Glycosylation and Glycoproteins Research 2
-
- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Samir Hanash (11 shared papers)David E. Misek (5 shared papers)Franck Brichory (2 shared papers)John Tra (2 shared papers)Claire W. Michael (1 shared paper)Hong Wang (1 shared paper)Jun Ho Jang (1 shared paper)François Le Naour (1 shared paper)
- Journals
- PROTEOMICS (5 papers)Journal of Biological Chemistry (2 papers)Cancer Research (2 papers)Biomarker Insights (1 paper)PubMed (1 paper)
- Partner nations
- United StatesSouth KoreaSpain
In The Last Decade
Eric Puravs
11 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Spectroscopy 220
- Cell Biology 210
- Molecular Biology 734
- Immunology 170
- Radiology, Nuclear Medicine and Imaging 126
Countries citing papers authored by Eric Puravs
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
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-authors
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 458 | |
| 2 | 2002 | 173 | |
| 3 | 2004 | 105 | |
| 4 | 2002 | 87 | |
| 5 | 2007 | 71 | |
| 6 | 2001 | 68 | |
| 7 | 2001 | 66 | |
| 8 | Identification of a Specific Vimentin Isoform That Induces an Antibody Response in Pancreatic Cancer. | 2006 | 33 |
| 9 | 2006 | 28 | |
| 10 | 2001 | 3 | |
| 11 | 2002 | 1 |
About Eric Puravs
Eric Puravs is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Pulmonary and Respiratory Medicine and Oncology, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Ubiquitin and proteasome pathways (2 papers), Prostate Cancer Treatment and Research (2 papers), Galectins and Cancer Biology (2 papers), Immunotherapy and Immune Responses (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Spectroscopy (220 citations), Cell Biology (210 citations), Molecular Biology (734 citations), Immunology (170 citations) and Radiology, Nuclear Medicine and Imaging (126 citations). Eric Puravs has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Samir Hanash, David E. Misek, Franck Brichory, John Tra, Claire W. Michael, Hong Wang, Jun Ho Jang, François Le Naour, Bong Kyung Shin and Rong Zhao. 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.