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
- Machine Learning in Bioinformatics
Papers in
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- RNA Research and Splicing 14
- RNA and protein synthesis mechanisms 10
- RNA modifications and cancer 10
- Genomics and Chromatin Dynamics 6
- 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 (10 shared papers)Stefan Posch (6 shared papers)Jan Grau (5 shared papers)Irad Ben‐Gal (2 shared papers)Melisa Gómez-Velázquez (1 shared paper)Benjamin J. Blencowe (1 shared paper)Jon Permanyer (2 shared papers)
- Journals
- PLoS ONE (2 papers)Journal of Bioinformatics and Computational Biology (2 papers)Bioinformatics (1 paper)Nature Communications (1 paper)Life Science Alliance (1 paper)
- Partner nations
- GermanySpainUnited States
In The Last Decade
André Gohr
27 papers receiving 889 citations
Peers
Comparison fields: 5 of 93
- Toxicology 47
- Molecular Biology 655
- Cancer Research 49
- Statistical and Nonlinear Physics 32
- Aging 4
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 280 | |
| 2 | 2005 | 128 | |
| 3 | 2009 | 69 | |
| 4 | 2018 | 61 | |
| 5 | 2009 | 49 | |
| 6 | 2018 | 48 | |
| 7 | 2017 | 43 | |
| 8 | Jstacs: a java framework for statistical analysis and classification of biological sequences | 2012 | 38 |
| 9 | 2024 | 34 | |
| 10 | 2012 | 24 | |
| 11 | 2018 | 21 | |
| 12 | 2014 | 20 | |
| 13 | 2022 | 17 | |
| 14 | 2015 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2022 | 7 | |
| 18 | 2013 | 6 | |
| 19 | 2007 | 6 | |
| 20 | 2022 | 5 |
About André Gohr
André Gohr is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Cancer Research and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 900 indexed citations. Recurring topics across this work include RNA Research and Splicing (14 papers), RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (10 papers), Genomics and Chromatin Dynamics (6 papers), Advanced Text Analysis Techniques (3 papers), Topic Modeling (3 papers), Cancer-related molecular mechanisms research (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Toxicology (47 citations), Molecular Biology (655 citations), Cancer Research (49 citations), Statistical and Nonlinear Physics (32 citations) and Aging (4 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, Irad Ben‐Gal, Melisa Gómez-Velázquez, Benjamin J. Blencowe, Jon Permanyer, Miguel Manzanares and Xinchen Wang. Their work appears in journals such as PLoS ONE, Journal of Bioinformatics and Computational Biology, Bioinformatics, Nature Communications and Life Science Alliance.
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.