Eric Routhier
Impact in
- Biotechnology top 10%
- Cancer Research and Treatments
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
Papers in ⓘ
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- Fungal and yeast genetics research 3
- TGF-β signaling in diseases 1
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- Galectins and Cancer Biology 1
- Co-authors
- Philip M. Sass (7 shared papers)Nicholas C. Nicolaides (6 shared papers)Luigi Grasso (6 shared papers)Wolfgang Ebel (5 shared papers)Brian Foley (2 shared papers)Qimin Chao (4 shared papers)H. A. Turchin (4 shared papers)Jeremy A. Bruenn (1 shared paper)
- Journals
- Journal of Pharmaceutical Sciences (1 paper)Journal of Clinical Oncology (1 paper)Journal of Biological Chemistry (1 paper)Rapid Communications in Mass Spectrometry (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- United StatesSwitzerlandCzechia
In The Last Decade
Eric Routhier
11 papers receiving 481 citations
Peers
Comparison fields: 5 of 65
- Biotechnology 59
- Reproductive Medicine 57
- Oncology 163
- Endocrinology 27
- Immunology and Allergy 32
Countries citing papers authored by Eric Routhier
This map shows the geographic impact of Eric Routhier'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 Routhier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Routhier more than expected).
Fields of papers citing papers by Eric Routhier
This network shows the impact of papers produced by Eric Routhier. 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 Routhier. The network helps show where Eric Routhier may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Routhier, 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 | Preclinical evaluation of MORAb-009, a chimeric antibody targeting tumor-associated mesothelin. | 2007 | 155 |
| 2 | 2007 | 117 | |
| 3 | Preclinical evaluation of MORAb-003, a humanized monoclonal antibody antagonizing folate receptor-alpha. | 2007 | 113 |
| 4 | 1998 | 33 | |
| 5 | 2010 | 25 | |
| 6 | 2003 | 23 | |
| 7 | 2001 | 23 | |
| 8 | 2005 | 11 | |
| 9 | 2017 | 4 | |
| 10 | 2016 | 4 | |
| 11 | 2006 | 1 |
About Eric Routhier
Eric Routhier is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Cell Biology and Biotechnology, having authored 11 papers that have together received 509 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (3 papers), Cancer Research and Treatments (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Microtubule and mitosis dynamics (2 papers), Cancer Genomics and Diagnostics (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper), TGF-β signaling in diseases (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Biotechnology (59 citations), Reproductive Medicine (57 citations), Oncology (163 citations), Endocrinology (27 citations) and Immunology and Allergy (32 citations). Eric Routhier has collaborated with scholars based in United States, Switzerland and Czechia. Frequent co-authors include Philip M. Sass, Nicholas C. Nicolaides, Luigi Grasso, Wolfgang Ebel, Brian Foley, Qimin Chao, H. A. Turchin, Jeremy A. Bruenn, Rina K Patel and Martin D. Phillips. Their work appears in journals such as Journal of Pharmaceutical Sciences, Journal of Clinical Oncology, Journal of Biological Chemistry, Rapid Communications in Mass Spectrometry and Annals of the New York Academy of Sciences.
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.