Tobias Doerks

43.9k total citations · 8 hit papers
48 papers, 14.2k citations indexed

About

Tobias Doerks is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Tobias Doerks has authored 48 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 8 papers in Ecology and 6 papers in Genetics. Recurrent topics in Tobias Doerks's work include Genomics and Phylogenetic Studies (23 papers), RNA and protein synthesis mechanisms (11 papers) and Machine Learning in Bioinformatics (9 papers). Tobias Doerks is often cited by papers focused on Genomics and Phylogenetic Studies (23 papers), RNA and protein synthesis mechanisms (11 papers) and Machine Learning in Bioinformatics (9 papers). Tobias Doerks collaborates with scholars based in Germany, United States and Switzerland. Tobias Doerks's co-authors include Peer Bork, Ivica Letunić, Christian von Mering, Lars Juhl Jensen, Michael Kuhn, Jean Muller, Alexander Röth, Mitchell Stark, Milan Simonovic and Christopher J. Creevey and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Tobias Doerks

48 papers receiving 14.0k citations

Hit Papers

The STRING database in 2011: functional interaction netwo... 2006 2026 2012 2019 2010 2008 2011 2014 2006 500 1000 1.5k 2.0k 2.5k
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.

  1. The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored
    2010 2.8k citations Damian Szklarczyk, Michael Kuhn et al. Nucleic Acids Research profile →
  2. STRING 8--a global view on proteins and their functional interactions in 630 organisms
    2008 1.9k citations Lars Juhl Jensen, Michael Kuhn et al. Nucleic Acids Research profile →
  3. SMART 7: recent updates to the protein domain annotation resource
    2011 1.4k citations Ivica Letunić, Tobias Doerks et al. Nucleic Acids Research profile →
  4. SMART: recent updates, new developments and status in 2015
    2014 1.3k citations Ivica Letunić, Tobias Doerks et al. Nucleic Acids Research profile →
  5. Toward Automatic Reconstruction of a Highly Resolved Tree of Life
    2006 1.1k citations Francesca D. Ciccarelli, Tobias Doerks et al. Science profile →
  6. SMART 6: recent updates and new developments
    2008 815 citations Ivica Letunić, Tobias Doerks et al. Nucleic Acids Research profile →
  7. mRNA degradation by miRNAs and GW182 requires both CCR4:NOT deadenylase and DCP1:DCP2 decapping complexes
    2006 751 citations Tobias Doerks, Peer Bork et al. profile →
  8. STRING 7--recent developments in the integration and prediction of protein interactions
    2006 524 citations Christian von Mering, Lars Juhl Jensen et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tobias Doerks Germany 35 10.5k 2.3k 1.6k 1.3k 1.3k 48 14.2k
Shujiro Okuda Japan 35 8.4k 0.8× 2.5k 1.1× 1.3k 0.9× 1.5k 1.1× 1.1k 0.8× 184 14.3k
Davide Heller Switzerland 5 7.7k 0.7× 1.6k 0.7× 1.2k 0.7× 1.5k 1.1× 1.4k 1.1× 6 12.3k
Andreas Heger United Kingdom 34 10.7k 1.0× 3.3k 1.4× 2.2k 1.4× 1.7k 1.3× 1.3k 1.0× 55 15.9k
David Wheeler United States 25 9.9k 0.9× 1.9k 0.8× 1.9k 1.2× 1.7k 1.3× 691 0.6× 86 14.0k
Silvio C. E. Tosatto Italy 48 10.9k 1.0× 2.7k 1.2× 1.3k 0.9× 1.3k 1.0× 601 0.5× 182 14.8k
Rainer Breitling United Kingdom 59 10.9k 1.0× 2.5k 1.1× 1.6k 1.0× 1.2k 0.9× 606 0.5× 214 16.4k
Kim D. Pruitt United States 32 12.5k 1.2× 2.6k 1.1× 2.0k 1.3× 3.1k 2.3× 1.0k 0.8× 63 17.3k
Thomas Dandekar Germany 61 8.6k 0.8× 1.8k 0.8× 1.3k 0.9× 1.8k 1.4× 608 0.5× 369 14.8k
Marco Punta United States 29 10.5k 1.0× 4.0k 1.8× 1.8k 1.1× 2.1k 1.6× 721 0.6× 59 15.3k
Jody Clements United States 20 11.0k 1.0× 4.3k 1.9× 1.9k 1.2× 2.1k 1.6× 1.3k 1.1× 25 16.2k

Countries citing papers authored by Tobias Doerks

Since Specialization
Citations

This map shows the geographic impact of Tobias Doerks'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 Tobias Doerks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Doerks more than expected).

Fields of papers citing papers by Tobias Doerks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tobias Doerks. 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 Tobias Doerks. The network helps show where Tobias Doerks may publish in the future.

Co-authorship network of co-authors of Tobias Doerks

This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Doerks. A scholar is included among the top collaborators of Tobias Doerks 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 Tobias Doerks. Tobias Doerks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huerta‐Cepas, Jaime, Jude M. Przyborski, Cecília P. Sanchez, et al.. (2015). Prokaryotic ancestry and gene fusion of a dual localized peroxiredoxin in malaria parasites. Microbial Cell. 2(1). 5–13. 9 indexed citations
2.
Trachana, Kalliopi, Sofia K. Forslund, Tomas Larsson, et al.. (2014). A Phylogeny-Based Benchmarking Test for Orthology Inference Reveals the Limitations of Function-Based Validation. PLoS ONE. 9(11). e111122–e111122. 12 indexed citations
3.
Dürnberger, Gerhard, Tilmann Bürckstümmer, K. Huber, et al.. (2013). Experimental characterization of the human non-sequence-specific nucleic acid interactome. Genome biology. 14(7). R81–R81. 6 indexed citations
4.
Doerks, Tobias, Vera van Noort, Pablo Mínguez, & Peer Bork. (2012). Annotation of the M. tuberculosis Hypothetical Orfeome: Adding Functional Information to More than Half of the Uncharacterized Proteins. PLoS ONE. 7(4). e34302–e34302. 44 indexed citations
5.
Trachana, Kalliopi, Tomas Larsson, Sean Powell, et al.. (2011). Orthology prediction methods: A quality assessment using curated protein families. BioEssays. 33(10). 769–780. 97 indexed citations
6.
Creevey, Christopher J., Jean Muller, Tobias Doerks, et al.. (2011). Identifying Single Copy Orthologs in Metazoa. PLoS Computational Biology. 7(12). e1002269–e1002269. 20 indexed citations
7.
Güell, Marc, Vera van Noort, Eva Yus, et al.. (2009). Transcriptome Complexity in a Genome-Reduced Bacterium. Science. 326(5957). 1268–1271. 324 indexed citations
8.
Muller, Jean, Damian Szklarczyk, P. Julien, et al.. (2009). eggNOG v2.0: extending the evolutionary genealogy of genes with enhanced non-supervised orthologous groups, species and functional annotations. Nucleic Acids Research. 38(suppl_1). D190–D195. 189 indexed citations
9.
Letunić, Ivica, Tobias Doerks, & Peer Bork. (2008). SMART 6: recent updates and new developments. Nucleic Acids Research. 37(Database). D229–D232. 815 indexed citations breakdown →
10.
Foerstner, Konrad, Tobias Doerks, Jean Muller, Jeroen Raes, & Peer Bork. (2008). A Nitrile Hydratase in the Eukaryote Monosiga brevicollis. PLoS ONE. 3(12). e3976–e3976. 22 indexed citations
11.
Jensen, Lars Juhl, P. Julien, Michael Kuhn, et al.. (2007). eggNOG: automated construction and annotation of orthologous groups of genes. Nucleic Acids Research. 36(Database). D250–D254. 409 indexed citations
12.
Harrington, Eoghan, Amoolya H. Singh, Tobias Doerks, et al.. (2007). Quantitative assessment of protein function prediction from metagenomics shotgun sequences. Proceedings of the National Academy of Sciences. 104(35). 13913–13918. 58 indexed citations
13.
Mering, Christian von, Lars Juhl Jensen, Michael Kuhn, et al.. (2006). STRING 7--recent developments in the integration and prediction of protein interactions. Nucleic Acids Research. 35(Database). D358–D362. 524 indexed citations breakdown →
14.
Tenhaken, Raimund, Tobias Doerks, & Peer Bork. (2005). DCD – a novel plant specific domain in proteins involved in development and programmed cell death. BMC Bioinformatics. 6(1). 169–169. 45 indexed citations
15.
Korbel, Jan O., Tobias Doerks, Lars Juhl Jensen, et al.. (2005). Systematic Association of Genes to Phenotypes by Genome and Literature Mining. PLoS Biology. 3(5). e134–e134. 117 indexed citations
16.
Doerks, Tobias. (2004). Global analysis of bacterial transcription factors to predict cellular target processes. Trends in Genetics. 20(3). 126–131. 12 indexed citations
17.
Doerks, Tobias, Christian von Mering, & Peer Bork. (2004). Functional clues for hypothetical proteins based on genomic context analysis in prokaryotes. Nucleic Acids Research. 32(21). 6321–6326. 46 indexed citations
18.
Ciccarelli, Francesca D., Richard R. Copley, Tobias Doerks, Robert B. Russell, & Peer Bork. (2002). CASH – a β-helix domain widespread among carbohydrate-binding proteins. Trends in Biochemical Sciences. 27(2). 59–62. 25 indexed citations
19.
Huynen, Martijn A., Tobias Doerks, Frank Eisenhaber, et al.. (1998). Homology-based fold predictions for Mycoplasma genitalium proteins 1 1Edited by G. Von Heijne. Journal of Molecular Biology. 280(3). 323–326. 94 indexed citations
20.
Doerks, Tobias. (1998). Protein annotation: detective work for function prediction. Trends in Genetics. 14(6). 248–250. 58 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.

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