T. W. Rademacher
- Biotechnology top 0.5%
- Immunology top 2%
- Galectins and Cancer Biology 7
- Organic Chemistry top 1%
- Carbohydrate Chemistry and Synthesis 15
- Molecular Biology top 2%
- Glycosylation and Glycoproteins Research 27
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- Monoclonal and Polyclonal Antibodies Research 14
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- Trypanosoma species research and implications 8
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- Microbial Metabolites in Food Biotechnology 5
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- Advanced NMR Techniques and Applications 5
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- NMR spectroscopy and applications 5
- Co-authors
- Raymond A. DwekR.B. ParekhSteve W. HomansR A DwekMichael A. J. FergusonJerry R. ThomasPark WilliamsSusanne Zamze
- Journals
- Biochemistry (8 papers)Journal of Biological Chemistry (6 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
T. W. Rademacher
59 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Biotechnology 558
- Immunology 1.2k
- Organic Chemistry 1.4k
- Molecular Biology 3.1k
- Radiology, Nuclear Medicine and Imaging 898
Countries citing papers authored by T. W. Rademacher
This map shows the geographic impact of T. W. Rademacher'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 T. W. Rademacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. W. Rademacher more than expected).
Fields of papers citing papers by T. W. Rademacher
This network shows the impact of papers produced by T. W. Rademacher. 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 T. W. Rademacher. The network helps show where T. W. Rademacher may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T. W. Rademacher, 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 | 2010 | 73 | |
| 2 | 2008 | 5 | |
| 3 | 2007 | 86 | |
| 4 | 2007 | 26 | |
| 5 | 2005 | 22 | |
| 6 | 2004 | 14 | |
| 7 | 2002 | 25 | |
| 8 | 1993 | 13 | |
| 9 | 1993 | 55 | |
| 10 | 1992 | 48 | |
| 11 | 1992 | 29 | |
| 12 | 1992 | 75 | |
| 13 | 1991 | 15 | |
| 14 | 1991 | 19 | |
| 15 | 1990 | 43 | |
| 16 | 1990 | 67 | |
| 17 | 1988 | 132 | |
| 18 | GLYCOBIOLOGYbreakdown → | 1988 | 937 |
| 19 | 1987 | 84 | |
| 20 | 1987 | 80 |
About T. W. Rademacher
T. W. Rademacher is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 59 papers that have together received 4.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (27 papers), Carbohydrate Chemistry and Synthesis (15 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Trypanosoma species research and implications (8 papers), Galectins and Cancer Biology (7 papers), Microbial Metabolites in Food Biotechnology (5 papers), Advanced NMR Techniques and Applications (5 papers) and NMR spectroscopy and applications (5 papers). The work is most often cited by research in Biotechnology (558 citations), Immunology (1.2k citations) and Organic Chemistry (1.4k citations). T. W. Rademacher has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Raymond A. Dwek, R.B. Parekh, Steve W. Homans, R A Dwek, Michael A. J. Ferguson, Jerry R. Thomas, Park Williams, Susanne Zamze, I.M. Roitt and David Isenberg. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemical Journal and Journal of Reproductive Immunology.
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.