Mats Töpel

2.6k total citations
57 papers, 1.3k citations indexed

About

Mats Töpel is a scholar working on Molecular Biology, Ecology and Biomaterials. According to data from OpenAlex, Mats Töpel has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 21 papers in Ecology and 13 papers in Biomaterials. Recurrent topics in Mats Töpel's work include Microbial Community Ecology and Physiology (20 papers), Genomics and Phylogenetic Studies (19 papers) and Diatoms and Algae Research (13 papers). Mats Töpel is often cited by papers focused on Microbial Community Ecology and Physiology (20 papers), Genomics and Phylogenetic Studies (19 papers) and Diatoms and Algae Research (13 papers). Mats Töpel collaborates with scholars based in Sweden, United Kingdom and Germany. Mats Töpel's co-authors include Paul Jarvis, Bente Eriksen, Alexandre Antonelli, R. Henrik Nilsson, Qihua Ling, Ellen Larsson, Stig Jacobsson, Erik Kristiansson, Ramesh N. Patel and Martin Ryberg and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Mats Töpel

55 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mats Töpel Sweden 21 750 457 322 208 158 57 1.3k
B. Zhong China 22 946 1.3× 514 1.1× 548 1.7× 174 0.8× 368 2.3× 45 1.5k
Kunihiko Ueda Japan 22 702 0.9× 473 1.0× 938 2.9× 182 0.9× 192 1.2× 50 1.5k
Maxim V. Kapralov United Kingdom 21 1.1k 1.4× 773 1.7× 420 1.3× 124 0.6× 293 1.9× 33 1.7k
Chiara Boschetti United Kingdom 16 611 0.8× 286 0.6× 414 1.3× 352 1.7× 256 1.6× 24 1.4k
Jipei Yue China 15 603 0.8× 399 0.9× 322 1.0× 159 0.8× 159 1.0× 32 906
Alexandra H. Wortley United Kingdom 20 1.0k 1.4× 664 1.5× 870 2.7× 372 1.8× 169 1.1× 43 1.9k
Khaled M. Hazzouri United Arab Emirates 21 749 1.0× 856 1.9× 339 1.1× 161 0.8× 535 3.4× 46 1.6k
Kristian K Ullrich Germany 19 774 1.0× 675 1.5× 165 0.5× 98 0.5× 162 1.0× 46 1.2k
Fay‐Wei Li United States 29 1.4k 1.8× 1.3k 2.8× 1.1k 3.5× 187 0.9× 172 1.1× 84 2.6k
James R. Manhart United States 25 1.1k 1.4× 812 1.8× 1.0k 3.2× 484 2.3× 243 1.5× 46 2.5k

Countries citing papers authored by Mats Töpel

Since Specialization
Citations

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

Fields of papers citing papers by Mats Töpel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mats Töpel

This figure shows the co-authorship network connecting the top 25 collaborators of Mats Töpel. A scholar is included among the top collaborators of Mats Töpel 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 Mats Töpel. Mats Töpel 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.
Pinseel, Eveline, Elizabeth C. Ruck, Teofil Nakov, et al.. (2025). Genome‐Wide Adaptation to a Complex Environmental Gradient in a Keystone Phytoplankton Species. Molecular Ecology. 34(13). e17817–e17817. 2 indexed citations
2.
Berdan, Emma L., Fabian Roger, Maren Wellenreuther, et al.. (2023). A metabarcoding analysis of the wrackbed microbiome indicates a phylogeographic break along the North Sea–Baltic Sea transition zone. Environmental Microbiology. 25(9). 1659–1673. 3 indexed citations
3.
Andersson, Björn, Olof Berglund, Helena L. Filipsson, et al.. (2023). Strain‐specific metabarcoding reveals rapid evolution of copper tolerance in populations of the coastal diatom Skeletonema marinoi. Molecular Ecology. 33(20). e17116–e17116. 1 indexed citations
4.
Pinseel, Eveline, Elizabeth C. Ruck, Teofil Nakov, et al.. (2023). Local adaptation of a marine diatom is governed by genome-wide changes in diverse metabolic processes. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
5.
6.
Pinseel, Eveline, Teofil Nakov, Koen Van Den Berge, et al.. (2022). Strain-specific transcriptional responses overshadow salinity effects in a marine diatom sampled along the Baltic Sea salinity cline. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
7.
Pinseel, Eveline, Teofil Nakov, Koen Van den Berge, et al.. (2022). Strain-specific transcriptional responses overshadow salinity effects in a marine diatom sampled along the Baltic Sea salinity cline. The ISME Journal. 16(7). 1776–1787. 22 indexed citations
8.
Cano, Ángela, Fred W. Stauffer, Tobias Andermann, et al.. (2022). Recent and local diversification of Central American understorey palms. Global Ecology and Biogeography. 31(8). 1513–1525. 5 indexed citations
9.
Pérez‐Escobar, Oscar A., Robyn F. Powell, Mats Töpel, et al.. (2022). A highly contiguous, scaffold-level nuclear genome assembly for the fever tree (Cinchona pubescens Vahl) as a novel resource for Rubiaceae research. SHILAP Revista de lepidopterología. 2022. 1–16. 2 indexed citations
10.
Zrimec, Jan, Filip Buric, Azam Sheikh Muhammad, et al.. (2020). Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure. Nature Communications. 11(1). 6141–6141. 111 indexed citations
11.
Schneider, Julio V., Domingos Cardoso, André M. Amorim, et al.. (2020). Phylogenomics of the tropical plant family Ochnaceae using targeted enrichment of nuclear genes and 250+ taxa. Taxon. 70(1). 48–71. 17 indexed citations
12.
Leder, Erica H., Carl André, Alan Le Moan, et al.. (2020). Post‐glacial establishment of locally adapted fish populations over a steep salinity gradient. Journal of Evolutionary Biology. 34(1). 138–156. 27 indexed citations
13.
Töpel, Mats, et al.. (2019). Genome Sequence of Arenibacter algicola Strain SMS7, Found in Association with the Marine Diatom Skeletonema marinoi. Microbiology Resource Announcements. 8(2). 3 indexed citations
14.
Töpel, Mats, et al.. (2019). Complete Genome Sequence of the Diatom-Associated Bacterium Sphingorhabdus sp. Strain SMR4y. Microbiology Resource Announcements. 8(29). 1 indexed citations
15.
Johansson, Oskar, Mats Töpel, Jenny Egardt, et al.. (2019). Phenomics reveals a novel putative chloroplast fatty acid transporter in the marine diatom Skeletonema marinoi involved in temperature acclimation. Scientific Reports. 9(1). 15143–15143. 4 indexed citations
16.
Ling, Qihua, William J. Broad, Raphael Trösch, et al.. (2019). Ubiquitin-dependent chloroplast-associated protein degradation in plants. Science. 363(6429). 114 indexed citations
17.
Johansson, Oskar, Mats Töpel, Olga Kourtchenko, et al.. (2019). Skeletonema marinoi as a new genetic model for marine chain-forming diatoms. Scientific Reports. 9(1). 5391–5391. 29 indexed citations
18.
19.
Bédard, Jocelyn, Raphael Trösch, Feijie Wu, et al.. (2017). Suppressors of the Chloroplast Protein Import Mutant tic40 Reveal a Genetic Link between Protein Import and Thylakoid Biogenesis. The Plant Cell. 29(7). 1726–1747. 24 indexed citations
20.
Töpel, Mats, et al.. (2017). Genome Sequence of Roseovarius mucosus Strain SMR3, Isolated from a Culture of the Diatom Skeletonema marinoi. Genome Announcements. 5(22). 6 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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