Wolf Holtkamp
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Protein Structure and Dynamics
Papers in
-
- RNA and protein synthesis mechanisms 14
- RNA modifications and cancer 9
- RNA Research and Splicing 4
- Protein purification and stability 2
- Advanced biosensing and bioanalysis techniques 1
- Genetics 6
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Marina V. Rodnina (13 shared papers)Wolfgang Wintermeyer (6 shared papers)G. Yusupova (1 shared paper)Nicolas Garreau de Loubresse (1 shared paper)Marat Yusupov (1 shared paper)I. Prokhorova (1 shared paper)Thomas Bornemann (2 shared papers)Frank Peske (3 shared papers)
- Journals
- Nature Communications (2 papers)Nucleic Acids Research (2 papers)The EMBO Journal (1 paper)mAbs (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Wolf Holtkamp
15 papers receiving 1.2k citations
Wolf Holtkamp's Hit Papers
Peers
Comparison fields: 5 of 94
- Developmental Neuroscience 79
- Molecular Biology 920
- Structural Biology 14
- Genetics 237
- Neurology 57
Countries citing papers authored by Wolf Holtkamp
This map shows the geographic impact of Wolf Holtkamp'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 Wolf Holtkamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolf Holtkamp more than expected).
Fields of papers citing papers by Wolf Holtkamp
This network shows the impact of papers produced by Wolf Holtkamp. 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 Wolf Holtkamp. The network helps show where Wolf Holtkamp may publish in the future.
Co-authors
The 25 scholars most cited alongside Wolf Holtkamp, 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 | Structural basis for the inhibition of the eukaryotic ribosome Hit paper breakdown → | 2014 | 397 |
| 2 | 2004 | 157 | |
| 3 | 2015 | 156 | |
| 4 | 2016 | 81 | |
| 5 | 2014 | 75 | |
| 6 | 2012 | 64 | |
| 7 | 2013 | 62 | |
| 8 | 2014 | 60 | |
| 9 | 2018 | 37 | |
| 10 | 2017 | 27 | |
| 11 | 2020 | 24 | |
| 12 | 2014 | 23 | |
| 13 | 2024 | 10 | |
| 14 | 2018 | 8 | |
| 15 | 2019 | 1 | |
| 16 | 2024 | 0 | |
| 17 | Collaborative study for the establishment of Ph. Eur. Human immunoglobulin for electrophoresis BRP batch 4. | 2022 | 0 |
About Wolf Holtkamp
Wolf Holtkamp is a scholar working on Molecular Biology, Genetics, Oncology, Ecology and Pharmacology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (14 papers), RNA modifications and cancer (9 papers), Bacterial Genetics and Biotechnology (6 papers), RNA Research and Splicing (4 papers), Peptidase Inhibition and Analysis (3 papers), Bacteriophages and microbial interactions (3 papers), Protein purification and stability (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Developmental Neuroscience (79 citations), Molecular Biology (920 citations), Structural Biology (14 citations), Genetics (237 citations) and Neurology (57 citations). Wolf Holtkamp has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Marina V. Rodnina, Wolfgang Wintermeyer, G. Yusupova, Nicolas Garreau de Loubresse, Marat Yusupov, I. Prokhorova, Thomas Bornemann, Frank Peske, Goran Kokić and Markus Jäger. Their work appears in journals such as Nature Communications, Nucleic Acids Research, The EMBO Journal, mAbs and PLoS Computational Biology.
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.