Andreas Heger

30.4k total citations · 7 hit papers
55 papers, 15.9k citations indexed

About

Andreas Heger is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Andreas Heger has authored 55 papers receiving a total of 15.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 12 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Andreas Heger's work include Genomics and Phylogenetic Studies (25 papers), Machine Learning in Bioinformatics (10 papers) and Protein Structure and Dynamics (10 papers). Andreas Heger is often cited by papers focused on Genomics and Phylogenetic Studies (25 papers), Machine Learning in Bioinformatics (10 papers) and Protein Structure and Dynamics (10 papers). Andreas Heger collaborates with scholars based in United Kingdom, United States and Finland. Andreas Heger's co-authors include Liisa Holm, Alex Bateman, Jaina Mistry, ROBERT FINN, Erik L. L. Sonnhammer, John Tate, Sean R. Eddy, Ian Sudbery, Marco Punta and Jody Clements and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Blood.

In The Last Decade

Andreas Heger

55 papers receiving 15.8k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pfam: the protein families database

2013 4.7k citations ROBERT FINN, Alex Bateman et al. Nucleic Acids Research profile →
The Pfam protein families database

2011 3.0k citations Marco Punta, Penny Coggill et al. Nucleic Acids Research profile →
The Pfam protein families database

2009 2.4k citations ROBERT FINN, Jaina Mistry et al. Nucleic Acids Research profile →
UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy

2017 1.2k citations Tom Smith, Andreas Heger et al. Genome Research profile →
Sequencing depth and coverage: key considerations in genomic analyses

2014 903 citations David Sims, Ian Sudbery et al. Nature Reviews Genetics profile →
A ChIP-seq defined genome-wide map of vitamin D receptor binding: Associations with disease and evolution

2010 665 citations Andreas Heger, Chris P. Ponting et al. Genome Research profile →
Correction: Corrigendum: Long non-coding RNAs and enhancer RNAs regulate the lipopolysaccharide-induced inflammatory response in human monocytes

2015 322 citations Nicholas E. Ilott, Andreas Heger et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andreas Heger United Kingdom	34	10.7k	3.3k	2.2k	1.7k	1.3k	55	15.9k
Jody Clements United States	20	11.0k 1.0×	4.3k 1.3×	1.9k 0.9×	2.1k 1.2×	1.3k 1.0×	25	16.2k
Igor B. Rogozin United States	60	10.0k 0.9×	2.5k 0.8×	2.6k 1.2×	1.1k 0.6×	1.2k 1.0×	221	13.0k
John Tate United Kingdom	19	14.0k 1.3×	5.1k 1.6×	2.5k 1.1×	2.8k 1.6×	1.6k 1.3×	23	20.2k
Rolf Apweiler United Kingdom	48	19.0k 1.8×	3.8k 1.2×	2.8k 1.3×	1.9k 1.1×	1.1k 0.9×	167	25.7k
Shujiro Okuda Japan	35	8.4k 0.8×	2.5k 0.8×	1.3k 0.6×	1.5k 0.8×	1.1k 0.8×	184	14.3k
Martin Vingron Germany	61	14.3k 1.3×	4.1k 1.3×	3.1k 1.4×	1.1k 0.6×	1.5k 1.2×	259	19.4k
Tobias Doerks Germany	35	10.5k 1.0×	2.3k 0.7×	1.6k 0.7×	1.3k 0.8×	1.3k 1.0×	48	14.2k
Thomas Dandekar Germany	61	8.6k 0.8×	1.8k 0.6×	1.3k 0.6×	1.8k 1.0×	608 0.5×	369	14.8k
Yang Zhang China	44	9.8k 0.9×	3.1k 1.0×	3.7k 1.6×	2.1k 1.2×	2.1k 1.7×	342	19.0k
Sofia K. Forslund Germany	38	16.9k 1.6×	4.0k 1.2×	2.7k 1.2×	3.5k 2.0×	1.7k 1.3×	99	25.6k

Countries citing papers authored by Andreas Heger

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Andreas Heger

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Heger. A scholar is included among the top collaborators of Andreas Heger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andreas Heger. Andreas Heger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Smith, Tom, Andreas Heger, & Ian Sudbery. (2017). UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy. Genome Research. 27(3). 491–499. 1166 indexed citations breakdown →

Jaffer, Fatima, Katherine A. Fawcett, David Sims, et al.. (2017). Familial childhood-onset progressive cerebellar syndrome associated with the ATP1A3 mutation. Neurology Genetics. 3(2). e145–e145. 14 indexed citations

Johnson, Jethro S., et al.. (2016). Long noncoding RNAs in B-cell development and activation. Blood. 128(7). e10–e19. 102 indexed citations

Chambers, Thomas, et al.. (2016). High-fat diet disrupts metabolism in two generations of rats in a parent-of-origin specific manner. Scientific Reports. 6(1). 31857–31857. 42 indexed citations

Sandor, Cynthia, Paul Robertson, Charmaine Lang, et al.. (2016). Transcriptomic profiling of purified patient-derived dopamine neurons identifies convergent perturbations and therapeutics for Parkinson’s disease. Human Molecular Genetics. 26(3). ddw412–ddw412. 51 indexed citations

Sansom, Stephen N., Saule Zhanybekova, Gretel Nusspaumer, et al.. (2014). Population and single-cell genomics reveal the Aire dependency, relief from Polycomb silencing, and distribution of self-antigen expression in thymic epithelia. Genome Research. 24(12). 1918–1931. 243 indexed citations

Sims, David, Ian Sudbery, Nicholas E. Ilott, Andreas Heger, & Chris P. Ponting. (2014). Sequencing depth and coverage: key considerations in genomic analyses. Nature Reviews Genetics. 15(2). 121–132. 903 indexed citations breakdown →

Rajan, Prabhakar, Jacqueline Stockley, Ian Sudbery, et al.. (2014). Identification of a candidate prognostic gene signature by transcriptome analysis of matched pre- and post-treatment prostatic biopsies from patients with advanced prostate cancer. BMC Cancer. 14(1). 977–977. 39 indexed citations

Cooper, Sarah, Martin Dienstbier, Lothar Schermelleh, et al.. (2014). Targeting Polycomb to Pericentric Heterochromatin in Embryonic Stem Cells Reveals a Role for H2AK119u1 in PRC2 Recruitment. Cell Reports. 7(5). 1456–1470. 251 indexed citations

10.

FINN, ROBERT, Alex Bateman, Jody Clements, et al.. (2013). Pfam: the protein families database. Nucleic Acids Research. 42(D1). D222–D230. 4740 indexed citations breakdown →

11.

Rands, Chris M., Aaron E. Darling, Matthew K. Fujita, et al.. (2013). Insights into the evolution of Darwin’s finches from comparative analysis of the Geospiza magnirostris genome sequence. BMC Genomics. 14(1). 95–95. 35 indexed citations

12.

Nam, Kiwoong, Carina F. Mugal, Benoît Nabholz, et al.. (2010). Molecular evolution of genes in avian genomes. Genome biology. 11(6). R68–R68. 103 indexed citations

13.

Kong, Lesheng, Peter V. Lovell, Andreas Heger, Claudio V. Mello, & Chris P. Ponting. (2010). Accelerated Evolution of PAK3- and PIM1-like Kinase Gene Families in the Zebra Finch, Taeniopygia guttata. Molecular Biology and Evolution. 27(8). 1923–1934. 11 indexed citations

14.

FINN, ROBERT, Jaina Mistry, John Tate, et al.. (2009). The Pfam protein families database. Nucleic Acids Research. 38(suppl_1). D211–D222. 2368 indexed citations breakdown →

15.

Goodstadt, Leo, Andreas Heger, Caleb Webber, & Chris P. Ponting. (2007). An analysis of the gene complement of a marsupial,Monodelphis domestica: Evolution of lineage-specific genes and giant chromosomes. Genome Research. 17(7). 969–981. 30 indexed citations

16.

Heger, Andreas & Chris P. Ponting. (2007). Evolutionary rate analyses of orthologs and paralogs from 12 Drosophila genomes. Genome Research. 17(12). 1837–1849. 105 indexed citations

17.

Heger, Andreas & Chris P. Ponting. (2007). OPTIC: orthologous and paralogous transcripts in clades. Nucleic Acids Research. 36(Database). D267–D270. 22 indexed citations

18.

Heger, Andreas, Eija Korpelainen, Taavi Hupponen, et al.. (2007). PairsDB atlas of protein sequence space. Nucleic Acids Research. 36(suppl_1). D276–D280. 11 indexed citations

19.

Lunter, Gerton, et al.. (2007). Uncertainty in homology inferences: Assessing and improving genomic sequence alignment. Genome Research. 18(2). 298–309. 97 indexed citations

20.

Ponting, Chris P., Leo Goodstadt, Andreas Heger, et al.. (2005). Comparative genomics of vertebrates. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 141. 2 indexed citations

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.

Explore authors with similar magnitude of impact