Roman Wenne

2.7k total citations
85 papers, 2.0k citations indexed

About

Roman Wenne is a scholar working on Genetics, Ecology and Global and Planetary Change. According to data from OpenAlex, Roman Wenne has authored 85 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Genetics, 41 papers in Ecology and 39 papers in Global and Planetary Change. Recurrent topics in Roman Wenne's work include Genetic diversity and population structure (48 papers), Marine Bivalve and Aquaculture Studies (35 papers) and Aquatic Invertebrate Ecology and Behavior (35 papers). Roman Wenne is often cited by papers focused on Genetic diversity and population structure (48 papers), Marine Bivalve and Aquaculture Studies (35 papers) and Aquatic Invertebrate Ecology and Behavior (35 papers). Roman Wenne collaborates with scholars based in Poland, Norway and United Kingdom. Roman Wenne's co-authors include Małgorzata Zbawicka, Artur Burzyński, D. O. F. Skibinski, Beata Śmietanka, Humberto Quesada, Jonathan P. A. Gardner, Agnieszka Kijewska, Jakob Strand, H. Hummel and Sigbjørn Lien and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Roman Wenne

83 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roman Wenne Poland 30 1.2k 973 933 432 329 85 2.0k
Cécile Fauvelot France 23 1.1k 1.0× 711 0.7× 724 0.8× 480 1.1× 478 1.5× 64 1.8k
Philippe Borsa France 31 1.3k 1.1× 1.1k 1.1× 1.2k 1.3× 1.1k 2.5× 388 1.2× 117 2.8k
Alexandros Triantafyllidis Greece 24 627 0.5× 324 0.3× 773 0.8× 626 1.4× 111 0.3× 107 1.7k
Peter M. Grewe Australia 26 584 0.5× 337 0.3× 853 0.9× 713 1.7× 109 0.3× 61 1.8k
Andy R. Beaumont United Kingdom 20 522 0.5× 835 0.9× 431 0.5× 133 0.3× 244 0.7× 45 1.6k
Filipe O. Costa Portugal 29 1.8k 1.5× 678 0.7× 406 0.4× 1.3k 3.1× 706 2.1× 88 2.8k
Sophie Launey France 19 519 0.4× 544 0.6× 740 0.8× 184 0.4× 108 0.3× 40 1.3k
Shuichi Kitada Japan 26 850 0.7× 889 0.9× 393 0.4× 212 0.5× 142 0.4× 116 1.8k
Nina Overgaard Therkildsen United States 23 618 0.5× 422 0.4× 1.1k 1.1× 686 1.6× 98 0.3× 46 1.8k
Artur Burzyński Poland 20 847 0.7× 357 0.4× 354 0.4× 338 0.8× 226 0.7× 56 1.2k

Countries citing papers authored by Roman Wenne

Since Specialization
Citations

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

Fields of papers citing papers by Roman Wenne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Wenne

This figure shows the co-authorship network connecting the top 25 collaborators of Roman Wenne. A scholar is included among the top collaborators of Roman Wenne 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 Roman Wenne. Roman Wenne 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.
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Siwicki, Andrzej K., et al.. (2023). Application of 4 × 44 Oligo Microarray to Transcriptomic Analysis of Immune Response in Rainbow Trout Infected with Aeromonas salmonicida. Applied Sciences. 13(23). 12793–12793. 1 indexed citations
3.
4.
Kotwicki, Lech, Jan Marcin Węsławski, Maria Włodarska‐Kowalczuk, et al.. (2021). The re-appearance of the Mytilus spp. complex in Svalbard, Arctic, during the Holocene: The case for an arrival by anthropogenic flotsam. Global and Planetary Change. 202. 103502–103502. 17 indexed citations
5.
Wenne, Roman, Małgorzata Zbawicka, Lis Bach, et al.. (2020). Trans-Atlantic Distribution and Introgression as Inferred from Single Nucleotide Polymorphism: Mussels Mytilus and Environmental Factors. Genes. 11(5). 530–530. 42 indexed citations
6.
Wenne, Roman, et al.. (2019). Mantle transcriptome sequencing of Mytilus spp. and identification of putative biomineralization genes. PeerJ. 6. e6245–e6245. 24 indexed citations
7.
Wenne, Roman. (2016). Hydrobidae and rissoidae (Gastropoda: Prosobranchia) from Puck Bay (The Bay of Gdańsk, southern Baltic). Folia Malacologica. 3(1). 175–183. 1 indexed citations
8.
Wenne, Roman, et al.. (2016). The genetic relationship between extirpated and contemporary Atlantic salmon Salmo salar L. lines from the southern Baltic Sea. Genetics Selection Evolution. 48(1). 29–29. 5 indexed citations
9.
Kijewska, Agnieszka, et al.. (2015). Transcriptome analysis of gill tissue of Atlantic cod Gadus morhua L. from the Baltic Sea. Marine Genomics. 23. 37–40. 18 indexed citations
10.
Śmietanka, Beata, Artur Burzyński, H. Hummel, & Roman Wenne. (2014). Glacial history of the European marine mussels Mytilus, inferred from distribution of mitochondrial DNA lineages. Heredity. 113(3). 250–258. 27 indexed citations
11.
Zbawicka, Małgorzata, Roman Wenne, & Artur Burzyński. (2014). Mitogenomics of recombinant mitochondrial genomes of Baltic Sea Mytilus mussels. Molecular Genetics and Genomics. 289(6). 1275–1287. 43 indexed citations
12.
Śmietanka, Beata, Małgorzata Zbawicka, Tomasz Janusz Sanko, Roman Wenne, & Artur Burzyński. (2013). Molecular population genetics of male and female mitochondrial genomes in subarctic Mytilus trossulus. Marine Biology. 160(7). 1709–1721. 39 indexed citations
13.
Zbawicka, Małgorzata, et al.. (2012). Identification and validation of novel SNP markers in European populations of marine Mytilus mussels. Marine Biology. 159(6). 1347–1362. 47 indexed citations
14.
Wenne, Roman, et al.. (2010). Properties of mobile elements of genomes and their application in biotechnology. 24–36. 1 indexed citations
15.
Śmietanka, Beata, Artur Burzyński, & Roman Wenne. (2009). Molecular population genetics of male and female mitochondrial genomes in European mussels Mytilus. Marine Biology. 156(5). 913–925. 38 indexed citations
16.
Burzyński, Artur, et al.. (2008). Detection of recombinant mitochondrial genomes: Implications for the mechanism of mtDNA inheritance in mussel Mytilus. 54–59. 1 indexed citations
17.
Wenne, Roman, et al.. (1999). A study of polymorphism within growth hormone gene 2 in sea trout from Polish coastal rivers using heteroduplex analysis. 2 indexed citations
18.
Wenne, Roman. (1992). Enzyme electrophoretic variation of the coot clam [Mulinia lateralis, Bivalvia] along the Atlantic coast of the USA. Genetica Polonica. 33(2). 3 indexed citations
19.
Jarzębski, Andrzej B. & Roman Wenne. (1990). Sterol composition of marine bivalves from the genus Macoma. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 97(1). 81–82. 1 indexed citations
20.
Jarzębski, Andrzej B. & Roman Wenne. (1989). Seasonal changes in content and composition of sterols in the tissues of the bivalve Macoma balthica. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 93(3). 711–713. 2 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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