André Gohr
Impact in
- Toxicology top 5%
- Organoselenium and organotellurium chemistry
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- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
Papers in
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- RNA Research and Splicing 13
- RNA and protein synthesis mechanisms 12
- RNA modifications and cancer 11
- Genomics and Chromatin Dynamics 5
- Machine Learning in Bioinformatics 2
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- Advanced Text Analysis Techniques 3
- Topic Modeling 3
- Co-authors
- Manuel Irimia (10 shared papers)Ivo Große (8 shared papers)Stefan Posch (6 shared papers)Jan Grau (5 shared papers)Miguel Manzanares (1 shared paper)Ulrich Braunschweig (1 shared paper)Kevin Ha (1 shared paper)Melisa Gómez-Velázquez (1 shared paper)
- Journals
- Journal of Bioinformatics and Computational Biology (2 papers)PLoS ONE (2 papers)Chemical Communications (1 paper)PLoS Genetics (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanySpainUnited States
In The Last Decade
André Gohr
24 papers receiving 806 citations
Peers
Comparison fields: 5 of 89
- Toxicology 48
- Molecular Biology 641
- Cancer Research 56
- Aging 4
- Genetics 22
Countries citing papers authored by André Gohr
This map shows the geographic impact of André Gohr'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 André Gohr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Gohr more than expected).
Fields of papers citing papers by André Gohr
This network shows the impact of papers produced by André Gohr. 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 André Gohr. The network helps show where André Gohr may publish in the future.
Co-authors
The 25 scholars most cited alongside André Gohr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 265 | |
| 2 | 2005 | 111 | |
| 3 | 2009 | 68 | |
| 4 | 2018 | 61 | |
| 5 | 2018 | 46 | |
| 6 | 2017 | 43 | |
| 7 | 2009 | 39 | |
| 8 | Jstacs: a java framework for statistical analysis and classification of biological sequences | 2012 | 34 |
| 9 | 2024 | 24 | |
| 10 | 2012 | 23 | |
| 11 | 2018 | 20 | |
| 12 | 2014 | 19 | |
| 13 | 2022 | 15 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2015 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2007 | 3 |
About André Gohr
André Gohr is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Computer Vision and Pattern Recognition and Cancer Research, having authored 25 papers that have together received 818 indexed citations. Recurring topics across this work include RNA Research and Splicing (13 papers), RNA and protein synthesis mechanisms (12 papers), RNA modifications and cancer (11 papers), Genomics and Chromatin Dynamics (5 papers), Advanced Text Analysis Techniques (3 papers), Topic Modeling (3 papers), Machine Learning in Bioinformatics (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Toxicology (48 citations), Molecular Biology (641 citations), Cancer Research (56 citations), Aging (4 citations) and Genetics (22 citations). André Gohr has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Manuel Irimia, Ivo Große, Stefan Posch, Jan Grau, Miguel Manzanares, Ulrich Braunschweig, Kevin Ha, Melisa Gómez-Velázquez, Luca Cozzuto and Mathieu Quesnel-Vallières. Their work appears in journals such as Journal of Bioinformatics and Computational Biology, PLoS ONE, Chemical Communications, PLoS Genetics and Nature Communications.
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.