Thomas Pohlmann

750 total citations
10 papers, 533 citations indexed

About

Thomas Pohlmann is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Thomas Pohlmann has authored 10 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Plant Science. Recurrent topics in Thomas Pohlmann's work include Fungal and yeast genetics research (8 papers), Photosynthetic Processes and Mechanisms (4 papers) and RNA Research and Splicing (4 papers). Thomas Pohlmann is often cited by papers focused on Fungal and yeast genetics research (8 papers), Photosynthetic Processes and Mechanisms (4 papers) and RNA Research and Splicing (4 papers). Thomas Pohlmann collaborates with scholars based in Germany, Mexico and Japan. Thomas Pohlmann's co-authors include Michael Feldbrügge, Sebastian Baumann, Carl Haag, Andreas Brachmann, Evelyn Vollmeister, Kerstin Schipper, Mario Albrecht, Kathi Zarnack, Janine Koepke and Julian König and has published in prestigious journals such as The EMBO Journal, PLoS ONE and Journal of Cell Science.

In The Last Decade

Thomas Pohlmann

10 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Pohlmann Germany 10 459 178 152 28 25 10 533
Evelyn Vollmeister Germany 11 309 0.7× 113 0.6× 150 1.0× 33 1.2× 24 1.0× 15 388
Olga Rodríguez‐Galán Spain 13 440 1.0× 128 0.7× 150 1.0× 12 0.4× 24 1.0× 21 577
David Balasundaram United States 14 607 1.3× 127 0.7× 131 0.9× 33 1.2× 13 0.5× 17 658
Magdalena Martín-Urdiroz United Kingdom 13 447 1.0× 248 1.4× 433 2.8× 13 0.5× 21 0.8× 14 684
Ignacio Flor‐Parra Spain 12 489 1.1× 295 1.7× 201 1.3× 38 1.4× 17 0.7× 17 562
Brian S. Margolin United States 9 538 1.2× 127 0.7× 347 2.3× 25 0.9× 12 0.5× 9 681
Pratibha Singh United States 11 260 0.6× 143 0.8× 477 3.1× 13 0.5× 45 1.8× 16 618
Dawei Zheng China 6 413 0.9× 224 1.3× 418 2.8× 16 0.6× 22 0.9× 12 666
Carolin A. Müller United Kingdom 15 773 1.7× 119 0.7× 167 1.1× 23 0.8× 46 1.8× 16 857
Tomoko Oguchi Japan 12 369 0.8× 113 0.6× 82 0.5× 35 1.3× 29 1.2× 17 438

Countries citing papers authored by Thomas Pohlmann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Pohlmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Pohlmann

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

All Works

10 of 10 papers shown
1.
Pohlmann, Thomas, et al.. (2019). The multi PAM 2 protein Upa2 functions as novel core component of endosomal mRNA transport. EMBO Reports. 20(9). e47381–e47381. 13 indexed citations
2.
Pohlmann, Thomas, et al.. (2019). Core components of endosomal mRNA transport are evolutionarily conserved in fungi. Fungal Genetics and Biology. 126. 12–16. 10 indexed citations
3.
Niessing, Dierk, Ralf‐Peter Jansen, Thomas Pohlmann, & Michael Feldbrügge. (2017). mRNA transport in fungal top models. Wiley Interdisciplinary Reviews - RNA. 9(1). 32 indexed citations
4.
Haag, Carl, Thomas Pohlmann, & Michael Feldbrügge. (2017). The ESCRT regulator Did2 maintains the balance between long-distance endosomal transport and endocytic trafficking. PLoS Genetics. 13(4). e1006734–e1006734. 17 indexed citations
5.
6.
Pohlmann, Thomas, Sebastian Baumann, Carl Haag, Mario Albrecht, & Michael Feldbrügge. (2015). A FYVE zinc finger domain protein specifically links mRNA transport to endosome trafficking. eLife. 4. 75 indexed citations
7.
Seidel, Constanze, Thomas Pohlmann, Norio Takeshita, et al.. (2014). The Vip1 Inositol Polyphosphate Kinase Family Regulates Polarized Growth and Modulates the Microtubule Cytoskeleton in Fungi. PLoS Genetics. 10(9). e1004586–e1004586. 45 indexed citations
8.
Baumann, Sebastian, et al.. (2012). Kinesin-3 and dynein mediate microtubule-dependent co-transport of mRNPs and endosomes. Journal of Cell Science. 125(Pt 11). 2740–52. 121 indexed citations
9.
Vollmeister, Evelyn, Kerstin Schipper, Sebastian Baumann, et al.. (2011). Fungal development of the plant pathogenUstilago maydis. FEMS Microbiology Reviews. 36(1). 59–77. 112 indexed citations
10.
König, Julian, Sebastian Baumann, Janine Koepke, et al.. (2009). The fungal RNA‐binding protein Rrm4 mediates long‐distance transport of ubi1 and rho3 mRNAs. The EMBO Journal. 28(13). 1855–1866. 73 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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