Thomas Juettemann
- Topics
- Machine Learning in Bioinformatics (1 paper)Protein Structure and Dynamics (1 paper)Cancer-related gene regulation (1 paper)
- Cited by
- Molecular BiologyAgingGenetics
- Journals
- Nucleic Acids ResearchBioinformaticsGenome Biology
- Partner nations
- United KingdomUnited States
In The Last Decade
Thomas Juettemann
3 papers receiving 360 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 285
- Genetics 106
- Cancer Research 43
- Immunology 40
- Plant Science 24
Countries citing papers authored by Thomas Juettemann
This map shows the geographic impact of Thomas Juettemann'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 Juettemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Juettemann more than expected).
Fields of papers citing papers by Thomas Juettemann
This network shows the impact of papers produced by Thomas Juettemann. 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 Juettemann. The network helps show where Thomas Juettemann may publish in the future.
Co-authorship network of co-authors of Thomas Juettemann
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Juettemann. A scholar is included among the top collaborators of Thomas Juettemann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Juettemann. Thomas Juettemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 260 | |
| 2 | 97 | |
| 3 | 3 |
About Thomas Juettemann
Thomas Juettemann is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 360 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (1 paper), Protein Structure and Dynamics (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Molecular Biology (285 citations), Aging (7 citations) and Genetics (106 citations). Thomas Juettemann has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Daniel R. Zerbino, Paul Flicek, Nathan Johnson, Steven P. Wilder and Dietlind L. Gerloff. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Genome 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.