Conrad Plake

854 total citations
13 papers, 488 citations indexed

About

Conrad Plake is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Conrad Plake has authored 13 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in Conrad Plake's work include Biomedical Text Mining and Ontologies (9 papers), Bioinformatics and Genomic Networks (5 papers) and Machine Learning in Bioinformatics (4 papers). Conrad Plake is often cited by papers focused on Biomedical Text Mining and Ontologies (9 papers), Bioinformatics and Genomic Networks (5 papers) and Machine Learning in Bioinformatics (4 papers). Conrad Plake collaborates with scholars based in Germany, United States and Netherlands. Conrad Plake's co-authors include Jörg Hakenberg, Michael Schroeder, Ulf Leser, Graciela Gonzalez‐Hernandez, Rainer Winnenburg, Robert Leaman, Löıc A. Royer, Thomas Wächter, Mark Schroeder and Andreas Doms and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Conrad Plake

13 papers receiving 469 citations

Peers

Countries citing papers authored by Conrad Plake

Since Specialization

Citations

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

Fields of papers citing papers by Conrad Plake

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conrad Plake

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Computational Polypharmacology with Text Mining and Ontologies 2011 ·Current Pharmaceutical Biotechnology ·Conrad Plake, Michael Schroeder	17
2	Large-scale De Novo Prediction of Physical Protein-Protein Association 2011 ·Molecular & Cellular Proteomics ·(unknown), Ömer Saraç, (unknown), Conrad Plake, Nina C. Hubner, Ina Poser, Mihail Sarov, Anthony A. Hyman, Matthias Mann, Michael Schroeder, Ulrich Stelzl, Andreas Beyer	43
3	The GNAT library for local and remote gene mention normalization 2011 ·Bioinformatics ·Jörg Hakenberg, Martin Gerner, Maximilian Haeussler, Illés Solt, Conrad Plake, Michael Schroeder, Graciela Gonzalez‐Hernandez, Goran Nenadić, Casey Bergman	54
4	Improved mutation tagging with gene identifiers applied to membrane protein stability prediction 2009 ·BMC Bioinformatics ·Rainer Winnenburg, Conrad Plake, Michael Schroeder	11
5	GoGene: gene annotation in the fast lane 2009 ·Nucleic Acids Research ·Conrad Plake, Löıc A. Royer, Rainer Winnenburg, Jörg Hakenberg, Michael Schroeder	28
6	Facts from text: can text mining help to scale-up high-quality manual curation of gene products with ontologies? 2008 ·Briefings in Bioinformatics ·Rainer Winnenburg, Thomas Wächter, Conrad Plake, Andreas Doms, Mark Schroeder	61
7	Mutation tagging with gene identifiers applied to membrane protein stability prediction. 2008 ·Rainer Winnenburg, Conrad Plake, Michael Schroeder	2
8	Gene mention normalization and interaction extraction with context models and sentence motifs 2008 ·Genome Biology ·Jörg Hakenberg, Conrad Plake, Löıc A. Royer, Hendrik Strobelt, Ulf Leser, Michael Schroeder	43
9	Inter-species normalization of gene mentions with GNAT 2008 ·Bioinformatics ·Jörg Hakenberg, Conrad Plake, Robert Leaman, Michael Schroeder, Graciela Gonzalez‐Hernandez	87
10	AliBaba: PubMed as a graph 2006 ·Bioinformatics ·Conrad Plake, (unknown), (unknown), Jörg Hakenberg, Ulf Leser	87
11	Systematic feature evaluation for gene name recognition 2005 ·BMC Bioinformatics ·Jörg Hakenberg, Steffen Bickel, Conrad Plake, Ulf Brefeld, (unknown), Lukas C. Faulstich, Ulf Leser, Tobias Scheffer	33
12	Optimizing syntax patterns for discovering protein-protein interactions 2005 ·Conrad Plake, Jörg Hakenberg, Ulf Leser	21
13	A Support Vector Machine classifier for gene name recognition 2004 ·Steffen Bickel, Ulf Brefeld, Lukas C. Faulstich, Jörg Hakenberg, Ulf Leser, Conrad Plake, Tobias Scheffer	1

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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