Thomas Lütteke
Impact in
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Structural Biology top 10%
Papers in
-
- Carbohydrate Chemistry and Synthesis 18
-
- Glycosylation and Glycoproteins Research 31
- Genomics and Phylogenetic Studies 14
- Protein Structure and Dynamics 4
- Co-authors
- Martin FrankClaus‐W. von der LiethAndreas Bohne-LangRobbie P. JoostenThomas GoetzC.-W. von der LiethMiguel A. Rojas‐MaciasJoachim Geyer
- Journals
- Bioinformatics (3 papers)Nucleic Acids Research (3 papers)BMC Bioinformatics (2 papers)Carbohydrate Research (2 papers)Biology (2 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Thomas Lütteke
42 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.4k
- Structural Biology 28
- Organic Chemistry 503
- Immunology 210
- Endocrinology 44
Countries citing papers authored by Thomas Lütteke
This map shows the geographic impact of Thomas Lütteke'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 Thomas Lütteke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Lütteke more than expected).
Fields of papers citing papers by Thomas Lütteke
This network shows the impact of papers produced by Thomas Lütteke. 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 Thomas Lütteke. The network helps show where Thomas Lütteke may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Lütteke, 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 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2017 | 16 | |
| 4 | 2017 | 17 | |
| 5 | 2015 | 9 | |
| 6 | 2015 | 12 | |
| 7 | 2015 | 11 | |
| 8 | 2014 | 41 | |
| 9 | 2013 | 24 | |
| 10 | 2012 | 104 | |
| 11 | 2011 | 345 | |
| 12 | Bioinformatics for glycobiology and glycomics : an introduction | 2009 | 15 |
| 13 | 2009 | 54 | |
| 14 | 2008 | 17 | |
| 15 | 2007 | 61 | |
| 16 | 2005 | 180 | |
| 17 | Glycosciences.de: An Internet portal for glyco-related data from open access resources | 2004 | 2 |
| 18 | 2004 | 124 | |
| 19 | 2003 | 19 | |
| 20 | 2003 | 83 |
About Thomas Lütteke
Thomas Lütteke is a scholar working on Organic Chemistry, Molecular Biology, Microbiology, Endocrinology and Immunology, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (31 papers), Carbohydrate Chemistry and Synthesis (18 papers), Genomics and Phylogenetic Studies (14 papers), Enzyme Structure and Function (7 papers), Microbial Metabolites in Food Biotechnology (4 papers), Protein Structure and Dynamics (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Structural Biology (28 citations), Organic Chemistry (503 citations), Immunology (210 citations) and Endocrinology (44 citations). Thomas Lütteke has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Martin Frank, Claus‐W. von der Lieth, Andreas Bohne-Lang, Robbie P. Joosten, Thomas Goetz, C.-W. von der Lieth, Miguel A. Rojas‐Macias, Joachim Geyer, Paul Emsley and Barbara Döring. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, BMC Bioinformatics, Carbohydrate Research and 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.