Michael Salcius
Impact in
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- Monoclonal and Polyclonal Antibodies Research
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- Advanced Biosensing Techniques and Applications
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Advanced biosensing and bioanalysis techniques
- Gene expression and cancer classification
Papers in
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- Advanced Biosensing Techniques and Applications 4
- Gene expression and cancer classification 3
- Protein Degradation and Inhibitors 3
- Signaling Pathways in Disease 3
- Ubiquitin and proteasome pathways 2
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Gregory A. Michaud (7 shared papers)Paul Predki (5 shared papers)Barry Schweitzer (3 shared papers)Craig M. Crews (2 shared papers)Fang Zhou (1 shared paper)Kathleen M. Sakamoto (1 shared paper)Raymond J. Deshaies (1 shared paper)M Snyder (1 shared paper)
- Journals
- ACS Chemical Biology (2 papers)Nature Biotechnology (1 paper)ChemBioChem (1 paper)Current Opinion in Biotechnology (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesSwitzerlandNorway
In The Last Decade
Michael Salcius
13 papers receiving 609 citations
Peers
Comparison fields: 5 of 66
- Radiology, Nuclear Medicine and Imaging 176
- Molecular Biology 554
- Genetics 57
- Hematology 47
- Oncology 77
Countries citing papers authored by Michael Salcius
This map shows the geographic impact of Michael Salcius'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 Michael Salcius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Salcius more than expected).
Fields of papers citing papers by Michael Salcius
This network shows the impact of papers produced by Michael Salcius. 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 Michael Salcius. The network helps show where Michael Salcius may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Salcius, 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 | 227 | |
| 2 | 2008 | 175 | |
| 3 | 2008 | 108 | |
| 4 | 2005 | 42 | |
| 5 | 2006 | 30 | |
| 6 | 2010 | 15 | |
| 7 | 2014 | 11 | |
| 8 | 2025 | 9 | |
| 9 | 2017 | 8 | |
| 10 | 2007 | 4 | |
| 11 | 2004 | 4 | |
| 12 | 2023 | 2 | |
| 13 | 2025 | 1 |
About Michael Salcius
Michael Salcius is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 636 indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Gene expression and cancer classification (3 papers), Protein Degradation and Inhibitors (3 papers), Signaling Pathways in Disease (3 papers), Ubiquitin and proteasome pathways (2 papers), Peptidase Inhibition and Analysis (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (176 citations), Molecular Biology (554 citations), Genetics (57 citations), Hematology (47 citations) and Oncology (77 citations). Michael Salcius has collaborated with scholars based in United States, Switzerland and Norway. Frequent co-authors include Gregory A. Michaud, Paul Predki, Barry Schweitzer, Craig M. Crews, Fang Zhou, Kathleen M. Sakamoto, Raymond J. Deshaies, M Snyder, Hong Guo and Kedra Cyrus. Their work appears in journals such as ACS Chemical Biology, Nature Biotechnology, ChemBioChem, Current Opinion in Biotechnology and Oncogene.
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.