Florian Odronitz

826 total citations
13 papers, 563 citations indexed

About

Florian Odronitz is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Florian Odronitz has authored 13 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Genetics. Recurrent topics in Florian Odronitz's work include Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (7 papers) and RNA Research and Splicing (3 papers). Florian Odronitz is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (7 papers) and RNA Research and Splicing (3 papers). Florian Odronitz collaborates with scholars based in Germany and France. Florian Odronitz's co-authors include Martin Kollmar, Stephan Waack, Oliver Keller, Mario Stanke, S. Becker, Klas Hatje, Stefanie Mühlhausen, Martina Baack, Rolf Knippers and Hans-Peter Wollscheid and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and Biophysical Journal.

In The Last Decade

Florian Odronitz

13 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florian Odronitz Germany 10 428 168 165 86 39 13 563
Stewart Frankel United States 13 395 0.9× 53 0.3× 117 0.7× 50 0.6× 40 1.0× 16 683
Richard Southgate United States 10 514 1.2× 116 0.7× 75 0.5× 28 0.3× 136 3.5× 14 599
Charles E. Rozek United States 9 404 0.9× 138 0.8× 48 0.3× 135 1.6× 42 1.1× 13 547
James A. Waddle United States 11 1.2k 2.9× 81 0.5× 472 2.9× 184 2.1× 22 0.6× 12 1.5k
Kim C. Giese United States 8 544 1.3× 21 0.1× 94 0.6× 58 0.7× 37 0.9× 8 602
Anna Majer Canada 12 355 0.8× 25 0.1× 51 0.3× 69 0.8× 21 0.5× 25 523
Tony P. Hodge United Kingdom 13 1.2k 2.7× 153 0.9× 161 1.0× 467 5.4× 40 1.0× 19 1.4k
Guido Kappé Netherlands 10 846 2.0× 28 0.2× 180 1.1× 15 0.2× 52 1.3× 10 909
Nicanor González‐Morales Canada 11 187 0.4× 83 0.5× 92 0.6× 10 0.1× 20 0.5× 17 323
Worawit Suphamungmee Thailand 13 162 0.4× 94 0.6× 50 0.3× 10 0.1× 31 0.8× 27 431

Countries citing papers authored by Florian Odronitz

Since Specialization
Citations

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

Fields of papers citing papers by Florian Odronitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Odronitz

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

All Works

13 of 13 papers shown
1.
2.
Schneider, Robert C., et al.. (2013). Peakr: simulating solid-state NMR spectra of proteins. Bioinformatics. 29(9). 1134–1140. 2 indexed citations
3.
Odronitz, Florian, et al.. (2011). diArk 2.0 provides detailed analyses of the ever increasing eukaryotic genome sequencing data. BMC Research Notes. 4(1). 338–338. 10 indexed citations
4.
5.
Odronitz, Florian, et al.. (2010). Cymobase - the Reference Database for Cytoskeletal and Motor Proteins. Biophysical Journal. 98(3). 560a–560a. 2 indexed citations
6.
Odronitz, Florian, S. Becker, & Martin Kollmar. (2009). Reconstructing the phylogeny of 21 completely sequenced arthropod species based on their motor proteins. BMC Genomics. 10(1). 173–173. 17 indexed citations
7.
Keller, Oliver, Florian Odronitz, Mario Stanke, Martin Kollmar, & Stephan Waack. (2008). Scipio: Using protein sequences to determine the precise exon/intron structures of genes and their orthologs in closely related species. BMC Bioinformatics. 9(1). 278–278. 99 indexed citations
8.
Odronitz, Florian, et al.. (2008). WebScipio: An online tool for the determination of gene structures using protein sequences. BMC Genomics. 9(1). 422–422. 26 indexed citations
9.
10.
Odronitz, Florian & Martin Kollmar. (2007). Drawing the tree of eukaryotic life based on the analysis of 2,269 manually annotated myosins from 328 species. Genome biology. 8(9). R196–R196. 290 indexed citations
11.
Odronitz, Florian, et al.. (2007). diArk – a resource for eukaryotic genome research. BMC Genomics. 8(1). 103–103. 14 indexed citations
12.
Odronitz, Florian, et al.. (2006). DNA Replication in Protein Extracts from Human Cells Requires ORC and Mcm Proteins. Journal of Biological Chemistry. 281(18). 12428–12435. 7 indexed citations
13.
Odronitz, Florian & Martin Kollmar. (2006). Pfarao: a web application for protein family analysis customized for cytoskeletal and motor proteins (CyMoBase). BMC Genomics. 7(1). 300–300. 26 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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