Michael Wittekind
- Hematology top 2%
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 13
- Protein Structure and Dynamics 12
- Protein purification and stability 6
- Fungal and yeast genetics research 6
- Genetics top 5%
- Bacterial Genetics and Biotechnology 7
- Molecular Medicine top 5%
- Spectroscopy top 2%
- Advanced NMR Techniques and Applications 5
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- Enzyme Structure and Function 11
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- Monoclonal and Polyclonal Antibodies Research 10
- Co-authors
- Leonard J. MuellerLuciano MuellerRaymond SchuchMatthias GörlachGideon DreyfussValentina GoldfarbMark S. FriedrichsMichio Nomura
- Cited by
- HematologyMolecular BiologyGenetics
- Journals
- Biochemistry (8 papers)Molecular and Cellular Biology (6 papers)Journal of Molecular Biology (4 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Michael Wittekind
41 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Hematology 394
- Molecular Biology 2.4k
- Genetics 282
- Molecular Medicine 111
- Spectroscopy 350
Countries citing papers authored by Michael Wittekind
This map shows the geographic impact of Michael Wittekind'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 Wittekind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wittekind more than expected).
Fields of papers citing papers by Michael Wittekind
This network shows the impact of papers produced by Michael Wittekind. 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 Wittekind. The network helps show where Michael Wittekind may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Wittekind, 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 | 2023 | 0 | |
| 2 | 2017 | 129 | |
| 3 | 2013 | 158 | |
| 4 | 2010 | 213 | |
| 5 | 1998 | 74 | |
| 6 | 1997 | 74 | |
| 7 | 1993 | 26 | |
| 8 | 1993 | 8 | |
| 9 | HNCACB, a High-Sensitivity 3D NMR Experiment to Correlate Amide-Proton and Nitrogen Resonances with the Alpha- and Beta-Carbon Resonances in Proteinsbreakdown → | 1993 | 739 |
| 10 | 1992 | 53 | |
| 11 | 1992 | 119 | |
| 12 | 1992 | 26 | |
| 13 | 1992 | 55 | |
| 14 | 1992 | 22 | |
| 15 | 1990 | 39 | |
| 16 | 1989 | 15 | |
| 17 | 1989 | 96 | |
| 18 | 1989 | 14 | |
| 19 | 1988 | 24 | |
| 20 | 1986 | 3 |
About Michael Wittekind
Michael Wittekind is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Microbiology, having authored 42 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (11 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Bacterial Genetics and Biotechnology (7 papers), Protein purification and stability (6 papers), Fungal and yeast genetics research (6 papers) and Advanced NMR Techniques and Applications (5 papers). The work is most often cited by research in Hematology (394 citations), Molecular Biology (2.4k citations) and Genetics (282 citations). Michael Wittekind has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Leonard J. Mueller, Luciano Mueller, Raymond Schuch, Matthias Görlach, Gideon Dreyfuss, Valentina Goldfarb, Mark S. Friedrichs, Michio Nomura, Rachel E. Klevit and Kevin Kish. Their work appears in journals such as Biochemistry, Molecular and Cellular Biology, Journal of Molecular Biology, Journal of Biomolecular NMR and Journal of Magnetic Resonance Series 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.