Mads Lichtenberg

1.0k total citations
37 papers, 697 citations indexed

About

Mads Lichtenberg is a scholar working on Molecular Biology, Ecology and Oceanography. According to data from OpenAlex, Mads Lichtenberg has authored 37 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Ecology and 10 papers in Oceanography. Recurrent topics in Mads Lichtenberg's work include Bacterial biofilms and quorum sensing (15 papers), Marine and coastal plant biology (8 papers) and Marine and coastal ecosystems (5 papers). Mads Lichtenberg is often cited by papers focused on Bacterial biofilms and quorum sensing (15 papers), Marine and coastal plant biology (8 papers) and Marine and coastal ecosystems (5 papers). Mads Lichtenberg collaborates with scholars based in Denmark, Australia and United States. Mads Lichtenberg's co-authors include Michael Kühl, Thomas Bjarnsholt, Kasper Elgetti Brodersen, Kasper Nørskov Kragh, Tim Tolker‐Nielsen, Tim Holm Jakobsen, Erik Trampe, Daniel Wangpraseurt, Anthony W. D. Larkum and Lasse Kvich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and PLANT PHYSIOLOGY.

In The Last Decade

Mads Lichtenberg

35 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mads Lichtenberg Denmark 16 311 236 224 57 43 37 697
Ewa Lukomska United States 25 119 0.4× 313 1.3× 187 0.8× 104 1.8× 13 0.3× 54 1.5k
Yingli Zhou China 16 209 0.7× 235 1.0× 48 0.2× 47 0.8× 5 0.1× 47 671
Éric Potvin South Korea 15 312 1.0× 543 2.3× 336 1.5× 23 0.4× 3 0.1× 27 961
Ian Joint United Kingdom 11 467 1.5× 430 1.8× 404 1.8× 37 0.6× 2 0.0× 13 1.2k
Mikio Takahashi Japan 14 130 0.4× 260 1.1× 123 0.5× 60 1.1× 3 0.1× 36 724
В. И. Дуда Russia 18 451 1.5× 445 1.9× 28 0.1× 134 2.4× 6 0.1× 81 1.1k
Lars Fledelius Rickelt Denmark 13 59 0.2× 272 1.2× 45 0.2× 80 1.4× 7 0.2× 15 526
Asmat Ahmad Malaysia 18 268 0.9× 393 1.7× 241 1.1× 80 1.4× 73 1.0k
Najwa Taïb France 20 862 2.8× 803 3.4× 116 0.5× 28 0.5× 2 0.0× 35 1.3k
Kristina D. A. Mojica United States 11 427 1.4× 96 0.4× 227 1.0× 16 0.3× 4 0.1× 17 604

Countries citing papers authored by Mads Lichtenberg

Since Specialization
Citations

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

Fields of papers citing papers by Mads Lichtenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mads Lichtenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Mads Lichtenberg. A scholar is included among the top collaborators of Mads Lichtenberg 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 Mads Lichtenberg. Mads Lichtenberg 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.
Saß, Andrea, Callum Highmore, Mads Lichtenberg, et al.. (2025). Harnessing machine learning to predict antibiotic susceptibility in Pseudomonas aeruginosa biofilms. npj Biofilms and Microbiomes. 11(1). 205–205.
2.
Jakobsen, Tim Holm, Julius B. Kirkegaard, Mads Lichtenberg, et al.. (2025). Detection limitations of bacteria in tissue samples. Bone and Joint Research. 14(6). 560–567.
3.
4.
Jakobsen, Tim Holm, et al.. (2024). Antimicrobial susceptibility testing of bone and joint pathogens using isothermal microcalorimetry. Apmis. 132(11). 814–823. 1 indexed citations
5.
Aalbæk, Bent, Mads Lichtenberg, Tim Holm Jakobsen, et al.. (2024). Bacterial micro-aggregates as inoculum in animal models of implant-associated infections. Biofilm. 7. 100200–100200. 1 indexed citations
6.
Kragh, Kasper Nørskov, Tim Tolker‐Nielsen, & Mads Lichtenberg. (2023). The non-attached biofilm aggregate. Communications Biology. 6(1). 898–898. 52 indexed citations
7.
Beilharz, Katrin, Kasper Nørskov Kragh, Blaine Gabriel Fritz, et al.. (2023). Protocol to assess metabolic activity of Pseudomonas aeruginosa by measuring heat flow using isothermal calorimetry. STAR Protocols. 4(2). 102269–102269. 9 indexed citations
8.
Lichtenberg, Mads, Tom Coenye, Matthew R. Parsek, Thomas Bjarnsholt, & Tim Holm Jakobsen. (2023). What’s in a name? Characteristics of clinical biofilms. FEMS Microbiology Reviews. 47(5). 11 indexed citations
9.
Lichtenberg, Mads, et al.. (2023). A collagen‐based layered chronic wound biofilm model for testing antimicrobial wound products. Wound Repair and Regeneration. 31(4). 500–515. 5 indexed citations
10.
Ørholt, Mathias, Mats Bue, Mads Lichtenberg, et al.. (2023). Pharmacokinetics of Locally Applied Antibiotic Prophylaxis for Implant-Based Breast Reconstruction. JAMA Network Open. 6(12). e2348414–e2348414. 3 indexed citations
11.
Lichtenberg, Mads, Klaus Kirketerp‐Møller, Lasse Kvich, et al.. (2023). Single cells and bacterial biofilm populations in chronic wound infections. Apmis. 132(12). 1071–1077. 10 indexed citations
12.
Lichtenberg, Mads, Kasper Nørskov Kragh, Blaine Gabriel Fritz, et al.. (2022). Cyclic-di-GMP signaling controls metabolic activity in Pseudomonas aeruginosa. Cell Reports. 41(3). 111515–111515. 28 indexed citations
13.
Lichtenberg, Mads, Verena Schrameyer, Tim Holm Jakobsen, et al.. (2021). Nitric-oxide-driven oxygen release in anoxic Pseudomonas aeruginosa. iScience. 24(12). 103404–103404. 13 indexed citations
14.
15.
Kvich, Lasse, Mette Burmølle, Thomas Bjarnsholt, & Mads Lichtenberg. (2020). Do Mixed-Species Biofilms Dominate in Chronic Infections?–Need for in situ Visualization of Bacterial Organization. Frontiers in Cellular and Infection Microbiology. 10. 396–396. 31 indexed citations
16.
Wangpraseurt, Daniel, Mads Lichtenberg, Steven L. Jacques, Anthony W. D. Larkum, & Michael Kühl. (2019). Optical Properties of Corals Distort Variable Chlorophyll Fluorescence Measurements. PLANT PHYSIOLOGY. 179(4). 1608–1619. 27 indexed citations
17.
Lichtenberg, Mads, Kasper Elgetti Brodersen, & Michael Kühl. (2017). Radiative Energy Budgets of Phototrophic Surface-Associated Microbial Communities and their Photosynthetic Efficiency Under Diffuse and Collimated Light. Frontiers in Microbiology. 8. 452–452. 12 indexed citations
18.
Lichtenberg, Mads, Anthony W. D. Larkum, & Michael Kühl. (2016). Photosynthetic Acclimation of Symbiodinium in hospite Depends on Vertical Position in the Tissue of the Scleractinian Coral Montastrea curta. Frontiers in Microbiology. 7. 230–230. 29 indexed citations
19.
Revsbech, Niels Peter, Erik Trampe, Mads Lichtenberg, David M. Ward, & Michael Kühl. (2016). In Situ Hydrogen Dynamics in a Hot Spring Microbial Mat during a Diel Cycle. Applied and Environmental Microbiology. 82(14). 4209–4217. 18 indexed citations
20.
Eriksson, Hampus, et al.. (2010). Biology of a high-density population of Stichopus herrmanni at One Tree Reef, Great Barrier Reef, Australia. 10 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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