Daniel Schmelter
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- Single-cell and spatial transcriptomics
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Phylogenetic Studies 7
- Genetics, Bioinformatics, and Biomedical Research 2
- Genomics and Chromatin Dynamics 1
-
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Brian J. Raney (3 shared papers)Hiram Clawson (3 shared papers)Angie S. Hinrichs (2 shared papers)Kate R. Rosenbloom (3 shared papers)Brian T. Lee (3 shared papers)Luis R Nassar (3 shared papers)Jairo Navarro Gonzalez (3 shared papers)Ann S. Zweig (3 shared papers)
- Journals
- Nucleic Acids Research (6 papers)Human Mutation (1 paper)Genome biology (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel Schmelter
9 papers receiving 2.6k citations
Daniel Schmelter's Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.4k
- Cancer Research 259
- Genetics 411
- Oncology 150
- Genetics 57
Countries citing papers authored by Daniel Schmelter
This map shows the geographic impact of Daniel Schmelter'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 Schmelter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schmelter more than expected).
Fields of papers citing papers by Daniel Schmelter
This network shows the impact of papers produced by Daniel Schmelter. 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 Schmelter. The network helps show where Daniel Schmelter may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Schmelter, 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 | JASPAR 2022: the 9th release of the open-access database of transcription factor binding profiles Hit paper breakdown → | 2021 | 1292 |
| 2 | The UCSC Genome Browser database: 2023 update Hit paper breakdown → | 2022 | 375 |
| 3 | The UCSC Genome Browser database: 2021 update Hit paper breakdown → | 2020 | 353 |
| 4 | 2021 | 198 | |
| 5 | 2019 | 151 | |
| 6 | The UCSC Genome Browser database: 2024 update Hit paper breakdown → | 2023 | 144 |
| 7 | 2020 | 72 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 5 |
About Daniel Schmelter
Daniel Schmelter is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Genomics and Rare Diseases (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Molecular Biology (1.4k citations), Cancer Research (259 citations), Genetics (411 citations), Oncology (150 citations) and Genetics (57 citations). Daniel Schmelter has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Brian J. Raney, Hiram Clawson, Angie S. Hinrichs, Kate R. Rosenbloom, Brian T. Lee, Luis R Nassar, Jairo Navarro Gonzalez, Ann S. Zweig, David H. Haussler and Maximilian Haeussler. Their work appears in journals such as Nucleic Acids Research, Human Mutation, Genome biology and Nature Genetics.
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.