Thomas Braukmann

2.1k total citations
27 papers, 1.1k citations indexed

About

Thomas Braukmann is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Thomas Braukmann has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Ecology and 7 papers in Plant Science. Recurrent topics in Thomas Braukmann's work include Environmental DNA in Biodiversity Studies (11 papers), Genomics and Phylogenetic Studies (7 papers) and Plant and Fungal Species Descriptions (5 papers). Thomas Braukmann is often cited by papers focused on Environmental DNA in Biodiversity Studies (11 papers), Genomics and Phylogenetic Studies (7 papers) and Plant and Fungal Species Descriptions (5 papers). Thomas Braukmann collaborates with scholars based in Canada, United States and Germany. Thomas Braukmann's co-authors include Saša Stefanović, Maria Kuzmina, Evgeny Zakharov, Paul D. N. Hebert, Vasco Elbrecht, Natalya Ivanova, Sean W. J. Prosser, Dirk Steinke, Sujeevan Ratnasingham and Jayme E Sones and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and New Phytologist.

In The Last Decade

Thomas Braukmann

25 papers receiving 1.1k 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 Braukmann Canada 16 748 550 357 242 164 27 1.1k
Evgeny Zakharov Canada 7 437 0.6× 506 0.9× 156 0.4× 58 0.2× 169 1.0× 11 768
Royce Steeves Canada 10 463 0.6× 190 0.3× 224 0.6× 208 0.9× 25 0.2× 21 783
Amanda R. De La Torre United States 18 381 0.5× 134 0.2× 185 0.5× 328 1.4× 72 0.4× 26 941
Megan Price China 14 452 0.6× 100 0.2× 166 0.5× 214 0.9× 54 0.3× 63 732
Daniel Spalink United States 18 570 0.8× 107 0.2× 930 2.6× 536 2.2× 105 0.6× 32 1.3k
Jerome F. Grant United States 18 193 0.3× 443 0.8× 275 0.8× 317 1.3× 44 0.3× 86 1.1k
Santiago Sánchez‐Ramírez Canada 15 310 0.4× 197 0.4× 304 0.9× 742 3.1× 53 0.3× 33 1.1k
Camille Lepoittevin France 7 333 0.4× 206 0.4× 122 0.3× 293 1.2× 31 0.2× 8 938
Angélica Cibrián‐Jaramillo Mexico 17 235 0.3× 74 0.1× 324 0.9× 428 1.8× 42 0.3× 42 805
Joshua G. Harrison United States 17 116 0.2× 134 0.2× 281 0.8× 255 1.1× 107 0.7× 30 707

Countries citing papers authored by Thomas Braukmann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Braukmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Braukmann

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Braukmann. A scholar is included among the top collaborators of Thomas Braukmann 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 Braukmann. Thomas Braukmann 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.
Singh, Nishant, et al.. (2025). Integrated genomic approaches improve Treponema pallidum phylogenetics and lineage classification. Canadian Journal of Microbiology. 71. 1–11.
2.
Moulin, Solène, et al.. (2024). The endosymbiont of Epithemia clementina is specialized for nitrogen fixation within a photosynthetic eukaryote. ISME Communications. 4(1). ycae055–ycae055. 8 indexed citations
3.
Kabeche, Stephanie, et al.. (2024). A picomolar inhibitor of the Plasmodium falciparum IPP pathway. Antimicrobial Agents and Chemotherapy. 68(8). e0123823–e0123823. 1 indexed citations
4.
Isabel, Sandra, Alireza Eshaghi, Venkata R. Duvvuri, et al.. (2023). Targeted amplification-based whole genome sequencing of Monkeypox virus in clinical specimens. Microbiology Spectrum. 12(1). e0297923–e0297923. 5 indexed citations
5.
Duvvuri, Venkata R., Joseph T. Hicks, Lambodhar Damodaran, et al.. (2023). Comparing the transmission potential from sequence and surveillance data of 2009 North American influenza pandemic waves. Infectious Disease Modelling. 8(1). 240–252. 1 indexed citations
6.
Steinke, Dirk, Jayme E Sones, Natalya Ivanova, et al.. (2022). Message in a Bottle—Metabarcoding enables biodiversity comparisons across ecoregions. GigaScience. 11. 27 indexed citations
7.
Braukmann, Thomas, Marybel Soto Gomez, Juliana Lischka Sampaio Mayer, et al.. (2022). Mitochondrial genomic data are effective at placing mycoheterotrophic lineages in plant phylogeny. New Phytologist. 236(5). 1908–1921. 26 indexed citations
8.
Thalinger, Bettina, Elisabet Vilacoba, Thomas Braukmann, et al.. (2021). Diet composition of reintroduced Red-and-Green Macaws reflects gradual adaptation to life in the wild. Ornithological applications. 124(1). 8 indexed citations
9.
Turunen, Jarno, Heikki Mykrä, Vasco Elbrecht, et al.. (2021). The power of metabarcoding: Can we improve bioassessment and biodiversity surveys of stream macroinvertebrate communities?. SHILAP Revista de lepidopterología. 5. 9 indexed citations
10.
Baloğlu, Bilgenur, et al.. (2021). A workflow for accurate metabarcoding using nanopore MinION sequencing. Methods in Ecology and Evolution. 12(5). 794–804. 36 indexed citations
11.
Steinke, Dirk, et al.. (2021). Effects of Malaise trap spacing on species richness and composition of terrestrial arthropod bulk samples. SHILAP Revista de lepidopterología. 5. 20 indexed citations
12.
Elbrecht, Vasco, et al.. (2020). Assessment of stream macroinvertebrate communities with eDNA is not congruent with tissue‐based metabarcoding. Molecular Ecology. 30(13). 3239–3251. 52 indexed citations
13.
Braukmann, Thomas, Natalya Ivanova, Sean W. J. Prosser, et al.. (2019). Metabarcoding a diverse arthropod mock community. Molecular Ecology Resources. 19(3). 711–727. 104 indexed citations
14.
Schneider, Adam C., et al.. (2018). Convergent Plastome Evolution and Gene Loss in Holoparasitic Lennoaceae. Genome Biology and Evolution. 10(10). 2663–2670. 24 indexed citations
15.
Hebert, Paul D. N., Thomas Braukmann, Sean W. J. Prosser, et al.. (2018). A Sequel to Sanger: amplicon sequencing that scales. BMC Genomics. 19(1). 219–219. 168 indexed citations
16.
Braukmann, Thomas, et al.. (2017). Testing the Efficacy of DNA Barcodes for Identifying the Vascular Plants of Canada. PLoS ONE. 12(1). e0169515–e0169515. 59 indexed citations
17.
Ivanova, Natalya, Maria Kuzmina, Thomas Braukmann, Alex Borisenko, & Evgeny Zakharov. (2016). Authentication of Herbal Supplements Using Next-Generation Sequencing. PLoS ONE. 11(5). e0156426–e0156426. 97 indexed citations
18.
Braukmann, Thomas, Maria Kuzmina, & Saša Stefanović. (2013). Plastid genome evolution across the genus Cuscuta (Convolvulaceae): two clades within subgenus Grammica exhibit extensive gene loss. Journal of Experimental Botany. 64(4). 977–989. 72 indexed citations
19.
Braukmann, Thomas & Saša Stefanović. (2012). Plastid genome evolution in mycoheterotrophic Ericaceae. Plant Molecular Biology. 79(1-2). 5–20. 42 indexed citations
20.
Braukmann, Thomas, Maria Kuzmina, & Saša Stefanović. (2009). Loss of all plastid ndh genes in Gnetales and conifers: extent and evolutionary significance for the seed plant phylogeny. Current Genetics. 55(3). 323–337. 114 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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