Matthias Heinig
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 11
- RNA modifications and cancer 11
- RNA and protein synthesis mechanisms 10
- Genomics and Chromatin Dynamics 10
- RNA Research and Splicing 10
- Single-cell and spatial transcriptomics 7
- Gene Regulatory Network Analysis 6
- Cancer Research top 10%
- Genetics top 5%
- Genetic Associations and Epidemiology 10
- Co-authors
- Dmitrij FrishmanNorbert HübnerFabian J. TheisMartin VingronJohann S. HaweStuart A. CookThomas MankeSebastian Schäfer
- Journals
- Nucleic Acids Research (3 papers)Journal of Clinical Investigation (1 paper)Nature Communications (6 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Matthias Heinig
57 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 1.8k
- Cancer Research 251
- Genetics 352
- Aging 17
- Immunology 190
Countries citing papers authored by Matthias Heinig
This map shows the geographic impact of Matthias Heinig'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 Matthias Heinig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Heinig more than expected).
Fields of papers citing papers by Matthias Heinig
This network shows the impact of papers produced by Matthias Heinig. 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 Matthias Heinig. The network helps show where Matthias Heinig may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthias Heinig, 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 | 1 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 24 | |
| 10 | 2021 | 35 | |
| 11 | 2021 | 47 | |
| 12 | 2020 | 116 | |
| 13 | 2020 | 38 | |
| 14 | 2018 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2017 | 9 | |
| 17 | 2016 | 16 | |
| 18 | 2015 | 7 | |
| 19 | 2011 | 165 | |
| 20 | STRIDE: a web server for secondary structure assignment from known atomic coordinates of proteinsbreakdown → | 2004 | 804 |
About Matthias Heinig
Matthias Heinig is a scholar working on Cancer Research, Molecular Biology and Aging, having authored 59 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), RNA modifications and cancer (11 papers), RNA and protein synthesis mechanisms (10 papers), Genomics and Chromatin Dynamics (10 papers), Genetic Associations and Epidemiology (10 papers), RNA Research and Splicing (10 papers), Single-cell and spatial transcriptomics (7 papers) and Gene Regulatory Network Analysis (6 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cancer Research (251 citations) and Genetics (352 citations). Matthias Heinig has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Dmitrij Frishman, Norbert Hübner, Fabian J. Theis, Martin Vingron, Johann S. Hawe, Stuart A. Cook, Thomas Manke, Sebastian Schäfer, Andrew L. Hufton and Sean O’Keeffe. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation 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.