Daniel C. Richter
Impact in
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- Gut microbiota and health
- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
- Ecology top 5%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
Papers in
-
- Genomics and Phylogenetic Studies 1
- RNA modifications and cancer 1
- RNA Research and Splicing 1
-
- Brucella: diagnosis, epidemiology, treatment 1
- Co-authors
- Daniel H. Huson (4 shared papers)Tobias Dezulian (1 shared paper)Markus Franz (1 shared paper)Regula Rupp (1 shared paper)Christian Rausch (1 shared paper)Alexander F. Auch (2 shared papers)Ramona Schmid (1 shared paper)Felix Ott (1 shared paper)
- Journals
- BMC Bioinformatics (2 papers)Bioinformatics (1 paper)Forensic Science International Genetics (1 paper)Veterinary Microbiology (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel C. Richter
7 papers receiving 1.6k citations
Daniel C. Richter's Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 917
- Ecology 313
- Genetics 265
- Endocrinology 47
- Plant Science 312
Countries citing papers authored by Daniel C. Richter
This map shows the geographic impact of Daniel C. Richter'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 C. Richter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Richter more than expected).
Fields of papers citing papers by Daniel C. Richter
This network shows the impact of papers produced by Daniel C. Richter. 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 C. Richter. The network helps show where Daniel C. Richter may publish in the future.
Co-authors
The 19 scholars most cited alongside Daniel C. Richter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Dendroscope: An interactive viewer for large phylogenetic trees Hit paper breakdown → | 2007 | 1062 |
| 2 | 2008 | 334 | |
| 3 | 2013 | 118 | |
| 4 | 2009 | 95 | |
| 5 | 2007 | 72 | |
| 6 | 2012 | 10 | |
| 7 | 2011 | 2 |
About Daniel C. Richter
Daniel C. Richter is a scholar working on Molecular Biology, Small Animals, Agronomy and Crop Science, Genetics and Microbiology, having authored 7 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (1 paper), Genomics and Rare Diseases (1 paper), Brucella: diagnosis, epidemiology, treatment (1 paper), Cancer Genomics and Diagnostics (1 paper), RNA modifications and cancer (1 paper), Genomic variations and chromosomal abnormalities (1 paper), Microbial infections and disease research (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Molecular Biology (917 citations), Ecology (313 citations), Genetics (265 citations), Endocrinology (47 citations) and Plant Science (312 citations). Daniel C. Richter has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Daniel H. Huson, Tobias Dezulian, Markus Franz, Regula Rupp, Christian Rausch, Alexander F. Auch, Ramona Schmid, Felix Ott, Stephan C. Schuster and Elmar Schilling. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Forensic Science International Genetics, Veterinary Microbiology and PLoS ONE.
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.