Dietmar Schlößer

5.5k total citations · 1 hit paper
90 papers, 4.0k citations indexed

About

Dietmar Schlößer is a scholar working on Plant Science, Pollution and Molecular Biology. According to data from OpenAlex, Dietmar Schlößer has authored 90 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Plant Science, 29 papers in Pollution and 23 papers in Molecular Biology. Recurrent topics in Dietmar Schlößer's work include Enzyme-mediated dye degradation (42 papers), Microbial Metabolism and Applications (16 papers) and Microbial bioremediation and biosurfactants (11 papers). Dietmar Schlößer is often cited by papers focused on Enzyme-mediated dye degradation (42 papers), Microbial Metabolism and Applications (16 papers) and Microbial bioremediation and biosurfactants (11 papers). Dietmar Schlößer collaborates with scholars based in Germany, Netherlands and Switzerland. Dietmar Schlößer's co-authors include Hauke Harms, Lukas Y. Wick, Martin Krueger, Gudrun Krauss, Philippe F.-X. Corvini, Charles Junghanns, Monika Moeder, Gerd‐Joachim Krauss, W. Fritsche and Andreas Schäffer and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Environmental Science & Technology.

In The Last Decade

Dietmar Schlößer

89 papers receiving 3.9k citations

Hit Papers

Untapped potential: explo... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dietmar Schlößer Germany 34 1.7k 1.5k 772 575 561 90 4.0k
Erika Kothe Germany 38 869 0.5× 2.3k 1.5× 709 0.9× 196 0.3× 1.2k 2.2× 159 5.0k
Martine Sancelme France 39 1.3k 0.8× 452 0.3× 1.0k 1.3× 119 0.2× 845 1.5× 101 4.6k
Christian Mougin France 32 992 0.6× 1.5k 1.0× 501 0.6× 520 0.9× 377 0.7× 92 3.2k
Ana M. M. Gonçalves Portugal 37 1.6k 0.9× 573 0.4× 802 1.0× 106 0.2× 696 1.2× 102 5.6k
Owen P. Ward Canada 33 2.3k 1.3× 691 0.5× 696 0.9× 787 1.4× 2.4k 4.2× 83 5.9k
Guoping Sun China 35 1.1k 0.6× 630 0.4× 774 1.0× 270 0.5× 486 0.9× 120 3.5k
K. Haider Germany 40 863 0.5× 1.2k 0.8× 315 0.4× 329 0.6× 411 0.7× 118 3.9k
Andrzej Paszczyński United States 30 565 0.3× 2.6k 1.7× 656 0.8× 1.5k 2.5× 964 1.7× 78 4.6k
Aloys Hüttermann Germany 39 697 0.4× 3.2k 2.1× 220 0.3× 577 1.0× 675 1.2× 129 5.0k
Henk W. van Verseveld Netherlands 41 1.1k 0.6× 529 0.4× 259 0.3× 378 0.7× 1.7k 3.0× 114 4.0k

Countries citing papers authored by Dietmar Schlößer

Since Specialization
Citations

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

Fields of papers citing papers by Dietmar Schlößer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dietmar Schlößer

This figure shows the co-authorship network connecting the top 25 collaborators of Dietmar Schlößer. A scholar is included among the top collaborators of Dietmar Schlößer 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 Dietmar Schlößer. Dietmar Schlößer 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.
Harms, Hauke, et al.. (2024). Biocalorimetry-aided monitoring of fungal pretreatment of lignocellulosic agricultural residues. Applied Microbiology and Biotechnology. 108(1). 394–394. 1 indexed citations
2.
Stanley, Claire E., et al.. (2022). pH Distribution along Growing Fungal Hyphae at Microscale. Journal of Fungi. 8(6). 599–599. 3 indexed citations
3.
Dusny, Christian, Lin Wang, Jens Appel, et al.. (2021). Illuminate the hidden: in vivo mapping of microscale pH in the mycosphere using a novel whole-cell biosensor. ISME Communications. 1(1). 75–75. 4 indexed citations
5.
Schlößer, Dietmar, et al.. (2019). Does glucose affect the de‐esterification of methyl ferulate by Lactobacillus buchneri?. MicrobiologyOpen. 9(2). e971–e971. 2 indexed citations
6.
Pezzella, Cinzia, Giovanni Sannia, Francesca Raganati, et al.. (2017). Exploitation of Trametes versicolor for bioremediation of endocrine disrupting chemicals in bioreactors. PLoS ONE. 12(6). e0178758–e0178758. 32 indexed citations
8.
Pradhan, Arunava, Sahadevan Seena, Dirk Dobritzsch, et al.. (2013). Physiological responses to nanoCuO in fungi from non-polluted and metal-polluted streams. The Science of The Total Environment. 466-467. 556–563. 28 indexed citations
9.
Libardi, Nelson, Regina Maria Miranda Gern, Sandra Aparecida Furlan, & Dietmar Schlößer. (2012). Laccase Production by the Aquatic Ascomycete Phoma sp. UHH 5-1-03 and the White Rot Basidiomycete Pleurotus ostreatus DSM 1833 During Submerged Cultivation on Banana Peels and Enzyme Applicability for the Removal of Endocrine-Disrupting Chemicals. Applied Biochemistry and Biotechnology. 167(5). 1144–1156. 10 indexed citations
11.
Moeder, Monika, et al.. (2007). Biotransformation of the Polycyclic Musks HHCB and AHTN and Metabolite Formation by Fungi Occurring in Freshwater Environments. Environmental Science & Technology. 41(15). 5395–5402. 55 indexed citations
12.
Junghanns, Charles, Gudrun Krauss, & Dietmar Schlößer. (2007). Potential of aquatic fungi derived from diverse freshwater environments to decolourise synthetic azo and anthraquinone dyes. Bioresource Technology. 99(5). 1225–1235. 64 indexed citations
13.
Jarosz‐Wilkołazka, Anna, et al.. (2006). Species-specific Cd-stress Response in the White Rot Basidiomycetes Abortiporus biennis and Cerrena unicolor. BioMetals. 19(1). 39–49. 47 indexed citations
14.
Schlößer, Dietmar, et al.. (2006). Biotransformation of 1-Naphthol by a Strictly Aquatic Fungus. Current Microbiology. 52(3). 216–220. 27 indexed citations
15.
Hoogeman, M.S., Dietmar Schlößer, J.B. Sanders, L. Kuipers, & J.W.M. Frenken. (1996). Surface energetics and thermal roughening of Ag(115) studied with STM movies. Physical review. B, Condensed matter. 53(20). R13299–R13302. 35 indexed citations
16.
Günther, K, Dietmar Schlößer, & W. Fritsche. (1995). Phenol and cresol metabolism in Bacillus pumilus isolated from contaminated groundwater. Journal of Basic Microbiology. 35(2). 83–92. 25 indexed citations
17.
Schlößer, Dietmar, et al.. (1994). Bioremediation of contaminated groundwater. Applied Biochemistry and Biotechnology. 48(1). 11–14. 3 indexed citations
18.
Schlößer, Dietmar, et al.. (1992). The steroid 15?-hydroxylase ofPenicillium raistrickii I 477 is inducible. Biotechnology Letters. 14(1). 33–38. 19 indexed citations
19.
Schlößer, Dietmar & H.‐P. Schmauder. (1991). 15α‐Hydroxylation of 13‐ethyl‐gon‐4‐ene‐3,17‐dione using a hyphal fungus immobilized in calcium alginate gel beads. Journal of Basic Microbiology. 31(5). 385–390. 9 indexed citations
20.
Hilpert, Peter, et al.. (1964). Vortr�ge Der 29.. Tagung(Fr�hjahrstagung) Der Deutschen Physiologischen Gesellschaft. Pflügers Archiv - European Journal of Physiology. 279(4). R1–R44. 1 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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