F.J. Stevens
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
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- Lipid Membrane Structure and Behavior
- Protein Structure and Dynamics
- Amyloidosis: Diagnosis, Treatment, Outcomes
- RNA and protein synthesis mechanisms
Papers in
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- Glycosylation and Glycoproteins Research 5
- Protein Structure and Dynamics 4
- Protein purification and stability 2
- Amyloidosis: Diagnosis, Treatment, Outcomes 2
- Machine Learning in Bioinformatics 1
- Biochemical and Structural Characterization 1
-
- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- M. Schiffer (5 shared papers)Rosemarie Raffen (3 shared papers)J L Preud'homme (1 shared paper)Pièrre Aucouturier (1 shared paper)Jacques Chomilier (1 shared paper)Sophie Déret (1 shared paper)Priscilla Wilkins Stevens (2 shared papers)Xiaoyin Cai (2 shared papers)
- Journals
- Protein Engineering Design and Selection (3 papers)Structure (1 paper)Amyloid (1 paper)Proceedings of the National Academy of Sciences (1 paper)Protein Science (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
F.J. Stevens
9 papers receiving 512 citations
Peers
Comparison fields: 5 of 75
- Microbiology 80
- Molecular Biology 448
- Nephrology 20
- Cell Biology 42
- Spectroscopy 41
Countries citing papers authored by F.J. Stevens
This map shows the geographic impact of F.J. Stevens'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 F.J. Stevens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F.J. Stevens more than expected).
Fields of papers citing papers by F.J. Stevens
This network shows the impact of papers produced by F.J. Stevens. 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 F.J. Stevens. The network helps show where F.J. Stevens may publish in the future.
Co-authors
The 14 scholars most cited alongside F.J. Stevens, 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 | 1992 | 311 | |
| 2 | 2000 | 76 | |
| 3 | 1997 | 40 | |
| 4 | 1996 | 34 | |
| 5 | 1998 | 18 | |
| 6 | 2002 | 18 | |
| 7 | 1998 | 16 | |
| 8 | 2005 | 3 | |
| 9 | The Effects of an Anaerobic Environment on Corrosion Fatigue | 1990 | 1 |
About F.J. Stevens
F.J. Stevens is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Cell Biology and Astronomy and Astrophysics, having authored 9 papers that have together received 517 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Protein Structure and Dynamics (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Protein purification and stability (2 papers), Enzyme Structure and Function (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Machine Learning in Bioinformatics (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Microbiology (80 citations), Molecular Biology (448 citations), Nephrology (20 citations), Cell Biology (42 citations) and Spectroscopy (41 citations). F.J. Stevens has collaborated with scholars based in United States and France. Frequent co-authors include M. Schiffer, Rosemarie Raffen, J L Preud'homme, Pièrre Aucouturier, Jacques Chomilier, Sophie Déret, Priscilla Wilkins Stevens, Xiaoyin Cai, P. Raj Pokkuluri and GJ Johnson. Their work appears in journals such as Protein Engineering Design and Selection, Structure, Amyloid, Proceedings of the National Academy of Sciences and Protein Science.
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.