Andreas Heger
- Molecular Biology top 0.2%
- Genomics and Phylogenetic Studies 25
- Machine Learning in Bioinformatics 10
- Protein Structure and Dynamics 10
- RNA modifications and cancer 7
- Glycosylation and Glycoproteins Research 4
- RNA and protein synthesis mechanisms 4
- Plant Science top 0.5%
- Chromosomal and Genetic Variations 5
- Endocrinology top 1%
- Cancer Research top 1%
- Genetics top 0.5%
-
- Enzyme Structure and Function 5
- Co-authors
- Liisa HolmAlex BatemanJaina MistrySean R. EddyROBERT FINNJohn TateErik L. L. SonnhammerIan Sudbery
- Partner nations
- United KingdomUnited StatesFinland
In The Last Decade
Andreas Heger
55 papers receiving 15.8k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Molecular Biology 10.7k
- Plant Science 3.3k
- Endocrinology 446
- Cancer Research 1.3k
- Genetics 2.2k
Countries citing papers authored by Andreas Heger
This map shows the geographic impact of Andreas Heger'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 Andreas Heger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Heger more than expected).
Fields of papers citing papers by Andreas Heger
This network shows the impact of papers produced by Andreas Heger. 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 Andreas Heger. The network helps show where Andreas Heger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andreas Heger, 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 | 2018 | 18 | |
| 2 | 2016 | 102 | |
| 3 | 2016 | 42 | |
| 4 | 2014 | 243 | |
| 5 | 2014 | 82 | |
| 6 | 2013 | 35 | |
| 7 | Pfam: the protein families databasebreakdown → | 2013 | 4740 |
| 8 | 2013 | 114 | |
| 9 | 2011 | 16 | |
| 10 | 2010 | 103 | |
| 11 | 2010 | 11 | |
| 12 | The Pfam protein families databasebreakdown → | 2009 | 2368 |
| 13 | 2007 | 30 | |
| 14 | 2007 | 105 | |
| 15 | 2007 | 22 | |
| 16 | Comparative genomics of vertebrates | 2005 | 2 |
| 17 | 2004 | 38 | |
| 18 | 2003 | 6 | |
| 19 | 2000 | 267 | |
| 20 | 2000 | 43 |
About Andreas Heger
Andreas Heger is a scholar working on Molecular Biology, Developmental Biology and Genetics, having authored 55 papers that have together received 15.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (25 papers), Machine Learning in Bioinformatics (10 papers), Protein Structure and Dynamics (10 papers), RNA modifications and cancer (7 papers), Enzyme Structure and Function (5 papers), Chromosomal and Genetic Variations (5 papers), Glycosylation and Glycoproteins Research (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Molecular Biology (10.7k citations), Plant Science (3.3k citations) and Endocrinology (446 citations). Andreas Heger has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Liisa Holm, Alex Bateman, Jaina Mistry, Sean R. Eddy, ROBERT FINN, John Tate, Erik L. L. Sonnhammer, Ian Sudbery, Ruth Y. Eberhardt and Jody Clements. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Genome Research, Genome biology 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.