Dmitrij Frishman

14.4k total citations · 2 hit papers
160 papers, 7.5k citations indexed

About

Dmitrij Frishman is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Dmitrij Frishman has authored 160 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Molecular Biology, 25 papers in Genetics and 12 papers in Plant Science. Recurrent topics in Dmitrij Frishman's work include RNA and protein synthesis mechanisms (59 papers), Machine Learning in Bioinformatics (44 papers) and Genomics and Phylogenetic Studies (43 papers). Dmitrij Frishman is often cited by papers focused on RNA and protein synthesis mechanisms (59 papers), Machine Learning in Bioinformatics (44 papers) and Genomics and Phylogenetic Studies (43 papers). Dmitrij Frishman collaborates with scholars based in Germany, Russia and United States. Dmitrij Frishman's co-authors include Matthias Heinig, Hans‐Werner Mewes, F. Ulrich Hartl, Patrick Argos, Andreas Ruepp, Matthias Mann, Yasushi Ishihama, Michael J. Kerner, Philipp Pagel and Thorsten Schmidt and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Dmitrij Frishman

157 papers receiving 7.3k citations

Hit 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.

STRIDE: a web server for secondary structure assignment from known atomic coordinates of proteins

2004 804 citations Dmitrij Frishman et al. Nucleic Acids Research profile →
Proteome-wide Analysis of Chaperonin-Dependent Protein Folding in Escherichia coli

2005 519 citations Dmitrij Frishman et al. profile →

Peers

Countries citing papers authored by Dmitrij Frishman

Since Specialization

Citations

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

Fields of papers citing papers by Dmitrij Frishman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitrij Frishman

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Charting γ-secretase substrates by explainable AI 2025 ·Nature Communications ·(unknown), Frits Kamp, Gabriele Basset, Claudia Abou‐Ajram, Gökhan Güner, Kanta Yanagida, Masayasu Okochi, Stephan A. Müller, Stefan F. Lichtenthaler, Dieter Langosch, Dmitrij Frishman, Harald Steiner	2
2	HERV reactivation by adenovirus infection is associated with viral immune regulation 2024 ·Microbes and Infection ·Liang Wen, (unknown), (unknown), (unknown), Hans Stubbe, (unknown), (unknown), Dmitrij Frishman, Sabrina Schreiner, Michelle Vincendeau	1
3	AAclust: k-optimized clustering for selecting redundancy-reduced sets of amino acid scales 2024 ·Bioinformatics Advances ·(unknown), Dmitrij Frishman	1
4	Exploring crop genomes: assembly features, gene prediction accuracy, and implications for proteomics studies 2024 ·BMC Genomics ·(unknown), Mathias Wilhelm, Bernhard Küster, Brigitte Poppenberger, Dmitrij Frishman	7
5	Molecular Mechanisms and Clinical Phenotypes of GJB2 Missense Variants 2023 ·Biology ·(unknown), Yueqiang Wang, Lei An, (unknown), Yanyan Wang, Dmitrij Frishman, Mengli Liu, Yanyu Chen, Wenxue Tang, Hongen Xu	9
6	Identification and Validation of Ikaros (IKZF1) as a Cancer Driver Gene for Marek’s Disease Virus-Induced Lymphomas 2022 ·Microorganisms ·(unknown), (unknown), Hongen Xu, C. J. Hearn, Dmitrij Frishman, Masahiro Niikura, John R. Dunn, Taejoong Kim, (unknown), William M. Muir, Hans H. Cheng	4
7	Machine Learning for Cancer Immunotherapies Based on Epitope Recognition by T Cell Receptors 2019 ·Frontiers in Genetics ·(unknown), Silke Raffegerst, (unknown), Dolores J. Schendel, Dmitrij Frishman	31
8	Residue co-evolution helps predict interaction sites in α-helical membrane proteins 2019 ·Journal of Structural Biology ·Bo Zeng, Peter Hönigschmid, Dmitrij Frishman	15
9	Annotation of the Domestic Pig Genome by Quantitative Proteogenomics 2017 ·Journal of Proteome Research ·Harald Marx, Hannes Hahne, Susanne E. Ulbrich, Angelika Schnieke, O. Rottmann, Dmitrij Frishman, Bernhard Küster	21
10	Conserved RNA structures in the intergenic regions of ambisense viruses 2017 ·Scientific Reports ·Michael Kiening, Friedemann Weber, Dmitrij Frishman	10
11	Differential expression analysis of human endogenous retroviruses based on ENCODE RNA-seq data 2015 ·BMC Medical Genomics ·Kerstin Haase, (unknown), Dmitrij Frishman	15
12	QARIP: a web server for quantitative proteomic analysis of regulated intramembrane proteolysis 2013 ·Nucleic Acids Research ·Dmitry N. Ivankov, Natalya S. Bogatyreva, Peter Hönigschmid, Bastian Dislich, Sebastian Hogl, Peer‐Hendrik Kuhn, Dmitrij Frishman, Stefan F. Lichtenthaler	23
13	Camps 2.0: Exploring the sequence and structure space of prokaryotic, eukaryotic, and viral membrane proteins 2011 ·Proteins Structure Function and Bioinformatics ·(unknown), Holger Hartmann, Antonio J. Martín-Galiano, Angelika Fuchs, Dmitrij Frishman	9
14	TargetSpy: a supervised machine learning approach for microRNA target prediction 2010 ·BMC Bioinformatics ·Martin Sturm, Michael Hackenberg, David Langenberger, Dmitrij Frishman	132
15	Illuminating the Evolutionary History of Chlamydiae 2004 ·Science ·Matthias Horn, Astrid Collingro, Stephan Schmitz‐Esser, (unknown), Ulrike Purkhold, Berthold Fartmann, Petra Brandt, (unknown), Marcus Droege, Dmitrij Frishman, Thomas Rattei, Hans‐Werner Mewes, Michael Wagner	331
16	The genome sequence of the thermoacidophilic scavenger Thermoplasma acidophilum 2000 ·Nature ·Andreas Ruepp, (unknown), Leticia Santos, Kristin K. Koretke, Craig Volker, Hans‐Werner Mewes, Dmitrij Frishman, Susanne Stocker, Andrei N. Lupas, Wolfgang Baumeister	314
17	Iron‐regulatory protein‐1 (IRP‐1) is highly conserved in two invertebrate species 1998 ·European Journal of Biochemistry ·Martina U. Muckenthaler, Nikolas Gunkel, Dmitrij Frishman, (unknown), Pavel Tomančák, Matthias W. Hentze	49
18	The MIPS Yeast Genome Database. 1997 ·Kaj Albermann, (unknown), Dmitrij Frishman, (unknown), (unknown), Klaus G. Heumann, (unknown), A. Zollner, Hans‐Werner Mewes	0
19	The future of protein secondary structure prediction accuracy 1997 ·PubMed ·Dmitrij Frishman, Patrick Argos	16
20	Variations of the C2H2 zinc finger motif in the yeast genome and classification of yeast zinc finger proteins 1997 ·Nucleic Acids Research ·Stefanie Böhm, Dmitrij Frishman, Hans‐Werner Mewes	134

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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