Lars Fieseler

3.0k total citations · 1 hit paper
47 papers, 2.2k citations indexed

About

Lars Fieseler is a scholar working on Ecology, Biotechnology and Molecular Biology. According to data from OpenAlex, Lars Fieseler has authored 47 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Ecology, 19 papers in Biotechnology and 14 papers in Molecular Biology. Recurrent topics in Lars Fieseler's work include Bacteriophages and microbial interactions (18 papers), Listeria monocytogenes in Food Safety (10 papers) and Microbial Natural Products and Biosynthesis (7 papers). Lars Fieseler is often cited by papers focused on Bacteriophages and microbial interactions (18 papers), Listeria monocytogenes in Food Safety (10 papers) and Microbial Natural Products and Biosynthesis (7 papers). Lars Fieseler collaborates with scholars based in Switzerland, Germany and Austria. Lars Fieseler's co-authors include Ute Hentschel, Michael Wagner, Martin J. Loessner, Matthias Horn, Christine Gernert, Leandra E. Knecht, Yannick Born, Michael Schmid, Jörg Hacker and Jochen Klumpp and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Lars Fieseler

46 papers receiving 2.2k citations

Hit Papers

Diversity and Function of Phage Encoded Depolymerases 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars Fieseler Switzerland 22 1.1k 942 807 618 338 47 2.2k
Kat Steinke Denmark 5 610 0.6× 476 0.5× 1.8k 2.3× 1.2k 1.9× 78 0.2× 8 2.6k
Liqiu Xia China 23 282 0.3× 507 0.5× 1.6k 2.0× 524 0.8× 300 0.9× 130 2.5k
Ralf Dieckmann Germany 32 212 0.2× 371 0.4× 1.0k 1.3× 483 0.8× 243 0.7× 73 2.5k
Richard Dietrich Germany 36 638 0.6× 685 0.7× 2.2k 2.7× 205 0.3× 97 0.3× 121 3.8k
Marc G. Chevrette United States 20 404 0.4× 376 0.4× 1.4k 1.8× 994 1.6× 65 0.2× 42 2.3k
Atsuko Matsumoto Japan 30 445 0.4× 437 0.5× 1.3k 1.6× 1.1k 1.8× 48 0.1× 133 2.6k
Junichi Sekiguchi Japan 33 820 0.8× 612 0.6× 1.7k 2.1× 153 0.2× 55 0.2× 101 2.9k
Cameron L. M. Gilchrist Australia 16 516 0.5× 194 0.2× 1.5k 1.8× 489 0.8× 76 0.2× 23 2.5k
Ján Kormanec Slovakia 30 346 0.3× 352 0.4× 2.2k 2.7× 1.1k 1.8× 67 0.2× 130 3.3k
Alexander Kloosterman Netherlands 8 412 0.4× 348 0.4× 1.4k 1.8× 814 1.3× 58 0.2× 9 2.1k

Countries citing papers authored by Lars Fieseler

Since Specialization
Citations

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

Fields of papers citing papers by Lars Fieseler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Fieseler

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Fieseler. A scholar is included among the top collaborators of Lars Fieseler 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 Lars Fieseler. Lars Fieseler 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
2.
Rutkaitė, Ramunė, et al.. (2025). Development of thyme essential oil-based coatings and assessment of their antimicrobial activity. Applied Food Research. 5(2). 101367–101367.
3.
Bender, Denisse, et al.. (2024). Operator-independent assessment of bread spoilage profiles caused by Bacillaceae reveals a high degree of inter- and intraspecies heterogeneity. Food Research International. 197(Pt 1). 115193–115193. 1 indexed citations
5.
Desroche, Nicolas, et al.. (2023). Validation of N-Light™ Salmonella Risk Test Kit for Detection of Salmonella spp. on Environmental Surfaces: AOAC Performance Tested MethodSM 072204. Journal of AOAC International. 106(4). 939–948. 1 indexed citations
6.
Łątka, Agnieszka, et al.. (2023). Phage tailspike modularity and horizontal gene transfer reveals specificity towards E. coli O-antigen serogroups. Virology Journal. 20(1). 174–174. 20 indexed citations
7.
Hagens, Steven, et al.. (2022). Application of bacteriophages EP75 and EP335 efficiently reduces viable cell counts of Escherichia coli O157 on beef and vegetables. Food Microbiology. 104. 103978–103978. 22 indexed citations
8.
Johler, Sophia, et al.. (2022). Ropiness in Bread—A Re-Emerging Spoilage Phenomenon. Foods. 11(19). 3021–3021. 27 indexed citations
9.
Dunai, D., et al.. (2020). Isolation of a Novel Lytic Bacteriophage against a Nosocomial Methicillin‐Resistant Staphylococcus aureus Belonging to ST45. BioMed Research International. 2020(1). 5463801–5463801. 12 indexed citations
10.
Knecht, Leandra E., et al.. (2020). Diversity and Function of Phage Encoded Depolymerases. Frontiers in Microbiology. 10. 2949–2949. 228 indexed citations breakdown →
11.
Green, Ori, Mario Hupfeld, Lars Fieseler, et al.. (2019). Ultrasensitive Detection of Salmonella and Listeria monocytogenes by Small‐Molecule Chemiluminescence Probes. Angewandte Chemie International Edition. 58(30). 10361–10367. 107 indexed citations
12.
Green, Ori, Mario Hupfeld, Lars Fieseler, et al.. (2019). Ultrasensitive Detection of Salmonella and Listeria monocytogenes by Small‐Molecule Chemiluminescence Probes. Angewandte Chemie. 131(30). 10469–10475. 25 indexed citations
13.
Born, Yannick, et al.. (2019). A major-capsid-protein-based multiplex PCR assay for rapid identification of selected virulent bacteriophage types. Archives of Virology. 164(3). 819–830. 16 indexed citations
14.
Buttimer, Colin, et al.. (2018). Erwinia amylovora phage vB_EamM_Y3 represents another lineage of hairy Myoviridae. Research in Microbiology. 169(9). 505–514. 21 indexed citations
15.
Shen, Yang, Samy Boulos, Eric T. Sumrall, et al.. (2017). Structural and functional diversity in Listeria cell wall teichoic acids. Journal of Biological Chemistry. 292(43). 17832–17844. 48 indexed citations
16.
Kauf, Peter, et al.. (2016). Quantitative real time PCR does not reliably detect single fecal indicator bacteria in drinking water. Water Science & Technology. 16(6). 1674–1682. 4 indexed citations
17.
Fieseler, Lars, et al.. (2012). Rhamnose-Inducible Gene Expression in Listeria monocytogenes. PLoS ONE. 7(8). e43444–e43444. 13 indexed citations
18.
Fieseler, Lars, et al.. (2011). Biocontrol of Salmonella Typhimurium in RTE foods with the virulent bacteriophage FO1-E2. International Journal of Food Microbiology. 154(1-2). 66–72. 180 indexed citations
19.
Fieseler, Lars, Matthias Horn, Michael Wagner, & Ute Hentschel. (2004). Discovery of the Novel Candidate Phylum “ Poribacteria ” in Marine Sponges. Applied and Environmental Microbiology. 70(6). 3724–3732. 236 indexed citations
20.
Hentschel, Ute, et al.. (2001). Molecular response of the sponge Suberites domuncula to bacterial infection. Marine Biology. 139(6). 1037–1045. 62 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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