Tim Tressel
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Filtration and Separation top 5%
Papers in
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- Protein purification and stability 9
- Viral Infectious Diseases and Gene Expression in Insects 7
- Porphyrin Metabolism and Disorders 2
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Sam Guhan (2 shared papers)Brian Hubbard (1 shared paper)Abhinav Shukla (1 shared paper)Duncan Low (1 shared paper)Jianxin Zhou (2 shared papers)Joe Zhou (5 shared papers)Leodis Davis (2 shared papers)Xiaoming Yang (2 shared papers)
- Journals
- Journal of Chromatography A (3 papers)Journal of Biological Chemistry (2 papers)Biotechnology and Bioengineering (1 paper)Journal of Membrane Science (1 paper)Journal of Chromatography B (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Tim Tressel
15 papers receiving 1.1k citations
Tim Tressel's Hit Papers
Peers
Comparison fields: 5 of 78
- Radiology, Nuclear Medicine and Imaging 669
- Filtration and Separation 34
- Molecular Biology 1.0k
- Clinical Biochemistry 43
- Spectroscopy 85
Countries citing papers authored by Tim Tressel
This map shows the geographic impact of Tim Tressel'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 Tim Tressel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Tressel more than expected).
Fields of papers citing papers by Tim Tressel
This network shows the impact of papers produced by Tim Tressel. 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 Tim Tressel. The network helps show where Tim Tressel may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Tressel, 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 | Downstream processing of monoclonal antibodies—Application of platform approaches Hit paper breakdown → | 2007 | 659 |
| 2 | 2006 | 147 | |
| 3 | 1986 | 63 | |
| 4 | 2006 | 58 | |
| 5 | 2006 | 42 | |
| 6 | 2008 | 41 | |
| 7 | 2007 | 39 | |
| 8 | 2008 | 27 | |
| 9 | 2008 | 26 | |
| 10 | 2012 | 19 | |
| 11 | 1991 | 17 | |
| 12 | 1990 | 13 | |
| 13 | 1986 | 13 | |
| 14 | 1996 | 4 | |
| 15 | 1988 | 3 |
About Tim Tressel
Tim Tressel is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy, Clinical Biochemistry and Immunology, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein purification and stability (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Cell Adhesion Molecules Research (3 papers), Metabolism and Genetic Disorders (2 papers), Protease and Inhibitor Mechanisms (2 papers), Porphyrin Metabolism and Disorders (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (669 citations), Filtration and Separation (34 citations), Molecular Biology (1.0k citations), Clinical Biochemistry (43 citations) and Spectroscopy (85 citations). Tim Tressel has collaborated with scholars based in United States and Germany. Frequent co-authors include Sam Guhan, Brian Hubbard, Abhinav Shukla, Duncan Low, Jianxin Zhou, Joe Zhou, Leodis Davis, Xiaoming Yang, Lynn R. Zieske and Robert P. Thompson. Their work appears in journals such as Journal of Chromatography A, Journal of Biological Chemistry, Biotechnology and Bioengineering, Journal of Membrane Science and Journal of Chromatography B.
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.