Janus Borner

1.3k total citations
18 papers, 828 citations indexed

About

Janus Borner is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Molecular Biology. According to data from OpenAlex, Janus Borner has authored 18 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, Evolution, Behavior and Systematics, 6 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Janus Borner's work include Vector-borne infectious diseases (4 papers), Plant and animal studies (3 papers) and Malaria Research and Control (3 papers). Janus Borner is often cited by papers focused on Vector-borne infectious diseases (4 papers), Plant and animal studies (3 papers) and Malaria Research and Control (3 papers). Janus Borner collaborates with scholars based in Germany, United States and Austria. Janus Borner's co-authors include Thorsten Burmester, Peter Rehm, Bernhard Misof, Karen Meusemann, Susan L. Perkins, Spencer C. Galen, Ingo Ebersberger, Christian Pick, Ralph O. Schill and Juliane Schaer and has published in prestigious journals such as PLoS ONE, Molecular Microbiology and Molecular Biology and Evolution.

In The Last Decade

Janus Borner

18 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janus Borner Germany 14 266 246 209 203 186 18 828
Ben H. Warren France 17 460 1.7× 209 0.8× 450 2.2× 271 1.3× 422 2.3× 30 1.2k
Liang Lü China 13 429 1.6× 291 1.2× 301 1.4× 88 0.4× 416 2.2× 44 1.0k
Beatriz Mello Brazil 12 169 0.6× 193 0.8× 162 0.8× 113 0.6× 117 0.6× 30 599
Ui Wook Hwang South Korea 23 299 1.1× 760 3.1× 402 1.9× 234 1.2× 582 3.1× 115 1.6k
Philip D. Sudman United States 16 217 0.8× 202 0.8× 431 2.1× 171 0.8× 303 1.6× 22 851
Theresa A. Spradling United States 13 256 1.0× 111 0.5× 422 2.0× 231 1.1× 432 2.3× 28 868
Fabienne Justy France 19 224 0.8× 262 1.1× 397 1.9× 43 0.2× 355 1.9× 40 967
Anna J. Phillips United States 15 171 0.6× 96 0.4× 134 0.6× 128 0.6× 413 2.2× 42 795
Zoltán T. Nagy Belgium 16 223 0.8× 201 0.8× 302 1.4× 31 0.2× 307 1.7× 25 850
Federico Abascal Spain 3 253 1.0× 787 3.2× 284 1.4× 47 0.2× 268 1.4× 3 1.4k

Countries citing papers authored by Janus Borner

Since Specialization
Citations

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

Fields of papers citing papers by Janus Borner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janus Borner

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

All Works

18 of 18 papers shown
1.
Borner, Janus, et al.. (2023). Comparative transcriptomics of the garden dormouse hypothalamus during hibernation. FEBS Open Bio. 14(2). 241–257. 3 indexed citations
2.
Borner, Janus, et al.. (2021). Comparative transcriptomics of the Djungarian hamster hypothalamus during short photoperiod acclimation and spontaneous torpor. FEBS Open Bio. 12(2). 443–459. 10 indexed citations
4.
Galen, Spencer C., Janus Borner, Susan L. Perkins, & Jason D. Weckstein. (2020). Phylogenomics from transcriptomic “bycatch” clarify the origins and diversity of avian trypanosomes in North America. PLoS ONE. 15(10). e0240062–e0240062. 11 indexed citations
5.
Galen, Spencer C., Janus Borner, Jessie L. Williamson, Christopher C. Witt, & Susan L. Perkins. (2019). Metatranscriptomics yields new genomic resources and sensitive detection of infections for diverse blood parasites. Molecular Ecology Resources. 20(1). 14–28. 28 indexed citations
6.
Galen, Spencer C., Janus Borner, Ellen S. Martinsen, et al.. (2018). The polyphyly of Plasmodium : comprehensive phylogenetic analyses of the malaria parasites (order Haemosporida) reveal widespread taxonomic conflict. Royal Society Open Science. 5(5). 171780–171780. 109 indexed citations
7.
Borner, Janus & Thorsten Burmester. (2017). Parasite infection of public databases: a data mining approach to identify apicomplexan contaminations in animal genome and transcriptome assemblies. BMC Genomics. 18(1). 100–100. 32 indexed citations
8.
Borner, Janus, Marcel Kwiatkowski, Hanno Schmidt, et al.. (2015). Evaluating the Hypoxia Response of Ruffe and Flounder Gills by a Combined Proteome and Transcriptome Approach. PLoS ONE. 10(8). e0135911–e0135911. 20 indexed citations
9.
Borner, Janus, Christian Pick, Olatunji Matthew Kolawole, et al.. (2015). Phylogeny of haemosporidian blood parasites revealed by a multi-gene approach. Molecular Phylogenetics and Evolution. 94(Pt A). 221–231. 74 indexed citations
10.
Kwiatkowski, Marcel, Janus Borner, Hartmut Schlüter, et al.. (2015). The Plasmodium falciparum exportome contains non‐canonical PEXEL/HT proteins. Molecular Microbiology. 97(2). 301–314. 31 indexed citations
11.
Rehm, Peter, Karen Meusemann, Janus Borner, Bernhard Misof, & Thorsten Burmester. (2014). Phylogenetic position of Myriapoda revealed by 454 transcriptome sequencing. Molecular Phylogenetics and Evolution. 77. 25–33. 48 indexed citations
12.
Borner, Janus, Peter Rehm, Ralph O. Schill, Ingo Ebersberger, & Thorsten Burmester. (2014). A transcriptome approach to ecdysozoan phylogeny. Molecular Phylogenetics and Evolution. 80. 79–87. 86 indexed citations
13.
Dell’Ampio, Emiliano, Karen Meusemann, Nikolaus U. Szucsich, et al.. (2013). Decisive Data Sets in Phylogenomics: Lessons from Studies on the Phylogenetic Relationships of Primarily Wingless Insects. Molecular Biology and Evolution. 31(1). 239–249. 95 indexed citations
14.
Rehm, Peter, Christian Pick, Janus Borner, Jürgen Markl, & Thorsten Burmester. (2012). The diversity and evolution of chelicerate hemocyanins. BMC Evolutionary Biology. 12(1). 19–19. 50 indexed citations
15.
Peters, Ralph S., et al.. (2012). Oligonucleotide Primers for Targeted Amplification of Single-Copy Nuclear Genes in Apocritan Hymenoptera. PLoS ONE. 7(6). e39826–e39826. 10 indexed citations
16.
Rehm, Peter, Janus Borner, Karen Meusemann, et al.. (2011). Dating the arthropod tree based on large-scale transcriptome data. Molecular Phylogenetics and Evolution. 61(3). 880–887. 91 indexed citations
17.
Peters, Ralph S., Benjamin Meyer, Lars Krogmann, et al.. (2011). The taming of an impossible child: a standardized all-in approach to the phylogeny of Hymenoptera using public database sequences. BMC Biology. 9(1). 55–55. 48 indexed citations
18.
Borner, Janus, et al.. (2009). A 454 sequencing approach for large scale phylogenomic analysis of the common emperor scorpion (Pandinus imperator). Molecular Phylogenetics and Evolution. 53(3). 826–834. 69 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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