Daniel K.H. Rode

482 citations
6 papers · 265 · 1 hit paper · h-index 6

Impact in

Papers in

Daniel K.H. Rode

6 papers receiving 263 citations

Daniel K.H. Rode's Hit Papers

Quantitative image analysis of microbial communities with BiofilmQ 2021 · 194 citations
1940+1+3Years since publication50100150

Peers

Daniel K.H. Rode
Comparison fields: 5 of 81
  • Endocrinology 39
  • Periodontics 24
  • Biophysics 26
  • Microbiology 18
  • Molecular Medicine 14
Replace Sanika Vaidya with:
Sanika Vaidya United States
Olga Lamprecht Switzerland
Niklas Netter Switzerland
Janne G. Thöming Germany
William Cole Cornell United States
Jan Zarzycki‐Siek United States
Bryan A. Stubblefield United States
Nuno Guimarães Portugal
Kevin J. Cutler United States
M. C. Hansen Denmark
Daniel K.H. Rode relative to Sanika Vaidya United States Sanika Vaidya's profile →
Citations per field
00.5×1.5×
Sanika Vaidya · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel K.H. Rode, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel K.H. Rode Line = papers co-authored together Daniel K.H. Rode links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Quantitative image analysis of microbial communities with BiofilmQ
Hit paper breakdown →
2021194
2 202026
3 202320
4 202515
5 20215
6 20255

About Daniel K.H. Rode

Daniel K.H. Rode is a scholar working on Molecular Biology, Ecology, Biophysics, Periodontics and Molecular Medicine, having authored 6 papers that have together received 265 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (5 papers), Microbial Community Ecology and Physiology (4 papers), Cell Image Analysis Techniques (3 papers), Legionella and Acanthamoeba research (1 paper), Oral microbiology and periodontitis research (1 paper), Photoacoustic and Ultrasonic Imaging (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Microbial Metabolism and Applications (1 paper). The work is most often cited by research in Endocrinology (39 citations), Periodontics (24 citations), Biophysics (26 citations), Microbiology (18 citations) and Molecular Medicine (14 citations). Daniel K.H. Rode has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Knut Drescher, Praveen K. Singh, Eric Jelli, Niklas Netter, Carey D. Nadell, Hannah Jeckel, Sanika Vaidya, Ákos T. Kovács, Fitnat H. Yildiz and Raimo Hartmann. Their work appears in journals such as Nature Microbiology, Molecular Microbiology, Proceedings of the National Academy of Sciences and Biological Chemistry.

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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