Martin Ringwald
Impact in
- Molecular Biology top 0.05%
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Biomedical Text Mining and Ontologies
- RNA modifications and cancer
- Machine Learning in Bioinformatics
- RNA Research and Splicing
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research
Papers in
-
- Biomedical Text Mining and Ontologies 28
- Bioinformatics and Genomic Networks 28
- Gene expression and cancer classification 22
- Genomics and Phylogenetic Studies 10
- Single-cell and spatial transcriptomics 6
- Molecular Biology Techniques and Applications 6
- Gene Regulatory Network Analysis 4
- Co-authors
- Joel E. RichardsonJanan T. EppigJudith A. BlakeDavid P. HillAllan Peter DavisCatherine A. BallGavin SherlockJohn C. Matese
- Journals
- Nucleic Acids Research (11 papers)Mammalian Genome (8 papers)Database (5 papers)Proceedings of the National Academy of Sciences (4 papers)Trends in Genetics (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Martin Ringwald
55 papers receiving 33.2k citations
Hit Papers
Peers
Comparison fields: 5 of 208
- Molecular Biology 24.5k
- Cancer Research 3.4k
- Aging 366
- Genetics 4.2k
- Immunology 2.5k
Countries citing papers authored by Martin Ringwald
This map shows the geographic impact of Martin Ringwald'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 Martin Ringwald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Ringwald more than expected).
Fields of papers citing papers by Martin Ringwald
This network shows the impact of papers produced by Martin Ringwald. 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 Martin Ringwald. The network helps show where Martin Ringwald may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Ringwald, 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 | 2025 | 0 | |
| 2 | 2021 | 28 | |
| 3 | 2015 | 35 | |
| 4 | 2015 | 9 | |
| 5 | 2013 | 38 | |
| 6 | 2012 | 5 | |
| 7 | 2012 | 11 | |
| 8 | 2012 | 28 | |
| 9 | 2008 | 16 | |
| 10 | P4-S The Mouse Genome Informatics Database: An Integrated Resource for Mouse Genetics and Genomics. | 2007 | 2 |
| 11 | 2006 | 69 | |
| 12 | 2005 | 136 | |
| 13 | 2004 | 87 | |
| 14 | 2004 | 7 | |
| 15 | 2001 | 41 | |
| 16 | 2001 | 109 | |
| 17 | 2000 | 26 | |
| 18 | 1999 | 34 | |
| 19 | 1991 | 71 | |
| 20 | 1989 | 100 |
About Martin Ringwald
Martin Ringwald is a scholar working on Molecular Biology, Biochemistry, Artificial Intelligence, Biophysics and Immunology and Allergy, having authored 57 papers that have together received 33.8k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (28 papers), Bioinformatics and Genomic Networks (28 papers), Gene expression and cancer classification (22 papers), Genomics and Phylogenetic Studies (10 papers), Single-cell and spatial transcriptomics (6 papers), Molecular Biology Techniques and Applications (6 papers), Semantic Web and Ontologies (6 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Molecular Biology (24.5k citations), Cancer Research (3.4k citations), Aging (366 citations), Genetics (4.2k citations) and Immunology (2.5k citations). Martin Ringwald has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Joel E. Richardson, Janan T. Eppig, Judith A. Blake, David P. Hill, Allan Peter Davis, Catherine A. Ball, Gavin Sherlock, John C. Matese, H. Butler and Laurie Issel‐Tarver. Their work appears in journals such as Nucleic Acids Research, Mammalian Genome, Database, Proceedings of the National Academy of Sciences and Trends in 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.