Daniel K.H. Rode

482 total citations · 1 hit paper
6 papers, 265 citations indexed

About

Daniel K.H. Rode is a scholar working on Molecular Biology, Ecology and Biophysics. According to data from OpenAlex, Daniel K.H. Rode has authored 6 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Ecology and 3 papers in Biophysics. Recurrent topics in Daniel K.H. Rode's work include Bacterial biofilms and quorum sensing (5 papers), Microbial Community Ecology and Physiology (4 papers) and Cell Image Analysis Techniques (3 papers). Daniel K.H. Rode is often cited by papers focused on Bacterial biofilms and quorum sensing (5 papers), Microbial Community Ecology and Physiology (4 papers) and Cell Image Analysis Techniques (3 papers). Daniel K.H. Rode collaborates with scholars based in Switzerland, Germany and United States. Daniel K.H. Rode's co-authors include Knut Drescher, Praveen K. Singh, Eric Jelli, Niklas Netter, Carey D. Nadell, Hannah Jeckel, Sanika Vaidya, Victor Sourjik, Olga Lamprecht and Janne G. Thöming and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Microbiology and Nature Microbiology.

In The Last Decade

Daniel K.H. Rode

6 papers receiving 263 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Quantitative image analysis of microbial communities with BiofilmQ

2021 194 citations Raimo Hartmann, Hannah Jeckel et al. Nature Microbiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel K.H. Rode Switzerland	6	154	62	41	39	26	6	265
Sanika Vaidya United States	6	140 0.9×	51 0.8×	35 0.9×	36 0.9×	26 1.0×	7	248
Niklas Netter Switzerland	5	141 0.9×	57 0.9×	35 0.9×	40 1.0×	26 1.0×	5	235
Olga Lamprecht Switzerland	5	135 0.9×	50 0.8×	31 0.8×	35 0.9×	26 1.0×	5	230
Janne G. Thöming Germany	9	302 2.0×	73 1.2×	43 1.0×	69 1.8×	27 1.0×	12	410
Bernard Beckerman United States	6	263 1.7×	44 0.7×	56 1.4×	44 1.1×	8 0.3×	7	430
Jan Zarzycki‐Siek United States	8	207 1.3×	46 0.7×	27 0.7×	41 1.1×	9 0.3×	13	326
William Cole Cornell United States	9	267 1.7×	89 1.4×	31 0.8×	75 1.9×	6 0.2×	10	351
Su Chuen Chew Singapore	7	272 1.8×	58 0.9×	37 0.9×	64 1.6×	4 0.2×	8	372
Bryan A. Stubblefield United States	7	165 1.1×	42 0.7×	129 3.1×	21 0.5×	10 0.4×	9	377
Nuno Guimarães Portugal	14	174 1.1×	116 1.9×	76 1.9×	23 0.6×	4 0.2×	25	386

Countries citing papers authored by Daniel K.H. Rode

Since Specialization

Citations

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

Fields of papers citing papers by Daniel K.H. Rode

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel K.H. Rode. 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 Daniel K.H. Rode. The network helps show where Daniel K.H. Rode may publish in the future.

Co-authorship network of co-authors of Daniel K.H. Rode

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

All Works

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6 of 6 papers shown

1.

Vaidya, Sanika, Daniel K.H. Rode, Gabriel Torrens, et al.. (2025). Bacteria use exogenous peptidoglycan as a danger signal to trigger biofilm formation. Nature Microbiology. 10(1). 144–157. 15 indexed citations

2.

Rode, Daniel K.H., et al.. (2025). Biofilm architecture determines the dissemination of conjugative plasmids. Proceedings of the National Academy of Sciences. 122(17). e2417452122–e2417452122. 5 indexed citations

3.

Jelli, Eric, et al.. (2023). Single‐cell segmentation in bacterial biofilms with an optimized deep learning method enables tracking of cell lineages and measurements of growth rates. Molecular Microbiology. 119(6). 659–676. 20 indexed citations

4.

Hartmann, Raimo, Hannah Jeckel, Eric Jelli, et al.. (2021). Publisher Correction: Quantitative image analysis of microbial communities with BiofilmQ. Nature Microbiology. 6(2). 270–270. 5 indexed citations

5.

Hartmann, Raimo, Hannah Jeckel, Eric Jelli, et al.. (2021). Quantitative image analysis of microbial communities with BiofilmQ. Nature Microbiology. 6(2). 151–156. 194 indexed citations breakdown →

6.

Rode, Daniel K.H., Praveen K. Singh, & Knut Drescher. (2020). Multicellular and unicellular responses of microbial biofilms to stress. Biological Chemistry. 401(12). 1365–1374. 26 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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