Thomas Lingner
- Cognitive Neuroscience top 5%
- Dermatology top 5%
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies 12
- RNA Research and Splicing 9
- RNA and protein synthesis mechanisms 8
- Machine Learning in Bioinformatics 6
- Peroxisome Proliferator-Activated Receptors 6
- RNA modifications and cancer 5
- Human-Computer Interaction top 5%
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- Microbial Community Ecology and Physiology 5
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- Orthopedic Infections and Treatments 3
- Co-authors
- Peter MeinickeH. RitterMatthias KaperSigrun ReumannGabriela SalinasSven ThomsKatharina J. HoffMaike Tech
- Partner nations
- GermanyNorwaySwitzerland
In The Last Decade
Thomas Lingner
48 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 128
- Cognitive Neuroscience 371
- Dermatology 157
- Molecular Biology 1.1k
- Human-Computer Interaction 86
- Cellular and Molecular Neuroscience 200
Countries citing papers authored by Thomas Lingner
This map shows the geographic impact of Thomas Lingner'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 Lingner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Lingner more than expected).
Fields of papers citing papers by Thomas Lingner
This network shows the impact of papers produced by Thomas Lingner. 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 Lingner. The network helps show where Thomas Lingner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Lingner, 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 | 2024 | 7 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 11 | |
| 4 | 2020 | 15 | |
| 5 | 2019 | 4 | |
| 6 | 2018 | 165 | |
| 7 | 2018 | 56 | |
| 8 | 2016 | 32 | |
| 9 | 2016 | 76 | |
| 10 | 2016 | 1 | |
| 11 | 2015 | 36 | |
| 12 | 2015 | 13 | |
| 13 | 2015 | 5 | |
| 14 | 2012 | 48 | |
| 15 | 2012 | 54 | |
| 16 | 2011 | 38 | |
| 17 | 2010 | 11 | |
| 18 | 2008 | 38 | |
| 19 | 2008 | 59 | |
| 20 | 2004 | 373 |
About Thomas Lingner
Thomas Lingner is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Developmental Neuroscience, Aging and Molecular Biology, having authored 49 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (8 papers), Machine Learning in Bioinformatics (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Microbial Community Ecology and Physiology (5 papers), RNA modifications and cancer (5 papers) and Orthopedic Infections and Treatments (3 papers). The work is most often cited by research in Cognitive Neuroscience (371 citations), Dermatology (157 citations), Molecular Biology (1.1k citations), Human-Computer Interaction (86 citations) and Cellular and Molecular Neuroscience (200 citations). Thomas Lingner has collaborated with scholars based in Germany, Norway and Switzerland. Frequent co-authors include Peter Meinicke, H. Ritter, Matthias Kaper, Sigrun Reumann, Gabriela Salinas, Sven Thoms, Katharina J. Hoff, Maike Tech, Kathrin Petra Aßhauer and Burkhard Morgenstern. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Nucleic Acids Research, Future Generation Computer Systems and PLoS Genetics.
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.