Tom Hartmann
Impact in
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Mitochondrial Function and Pathology
- Photosynthetic Processes and Mechanisms
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- Bacterial Genetics and Biotechnology
Papers in
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- Genomics and Phylogenetic Studies 8
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
- DNA and Biological Computing 1
- Genetics 8
- Genome Rearrangement Algorithms 7
- Evolution and Genetic Dynamics 1
- Co-authors
- Mathias Sprinzl (2 shared papers)Reinhard Zeidler (1 shared paper)Jutta Blank (1 shared paper)Jérémie Weber (1 shared paper)M. Sprinzl (1 shared paper)Martin Middendorf (10 shared papers)Matthias Bernt (7 shared papers)Nicolas Wieseke (3 shared papers)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (5 papers)Nucleic Acids Research (3 papers)Advances in Applied Mathematics (1 paper)BMC Bioinformatics (1 paper)Algorithms for Molecular Biology (1 paper)
- Partner nations
- GermanyColombiaUnited States
In The Last Decade
Tom Hartmann
13 papers receiving 471 citations
Peers
Comparison fields: 5 of 53
- Molecular Biology 446
- Genetics 87
- Microbiology 2
- Clinical Biochemistry 16
- Plant Science 53
Countries citing papers authored by Tom Hartmann
This map shows the geographic impact of Tom Hartmann'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 Tom Hartmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Hartmann more than expected).
Fields of papers citing papers by Tom Hartmann
This network shows the impact of papers produced by Tom Hartmann. 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 Tom Hartmann. The network helps show where Tom Hartmann may publish in the future.
Co-authors
The 13 scholars most cited alongside Tom Hartmann, 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 | 1989 | 248 | |
| 2 | 1987 | 150 | |
| 3 | 1985 | 39 | |
| 4 | 2016 | 9 | |
| 5 | 2015 | 9 | |
| 6 | 2017 | 6 | |
| 7 | 2017 | 6 | |
| 8 | 2018 | 5 | |
| 9 | 2021 | 4 | |
| 10 | 2018 | 4 | |
| 11 | 2016 | 3 | |
| 12 | 2020 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2024 | 0 | |
| 15 | 2019 | 0 |
About Tom Hartmann
Tom Hartmann is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Plant Science and Computational Theory and Mathematics, having authored 15 papers that have together received 487 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Genome Rearrangement Algorithms (7 papers), Algorithms and Data Compression (6 papers), Chromosomal and Genetic Variations (5 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers), Evolution and Genetic Dynamics (1 paper) and DNA and Biological Computing (1 paper). The work is most often cited by research in Molecular Biology (446 citations), Genetics (87 citations), Microbiology (2 citations), Clinical Biochemistry (16 citations) and Plant Science (53 citations). Tom Hartmann has collaborated with scholars based in Germany, Colombia and United States. Frequent co-authors include Mathias Sprinzl, Reinhard Zeidler, Jutta Blank, Jérémie Weber, M. Sprinzl, Martin Middendorf, Matthias Bernt, Nicolas Wieseke, Jörg Fallmann and Roded Sharan. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Nucleic Acids Research, Advances in Applied Mathematics, BMC Bioinformatics and Algorithms for Molecular 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.