Daniel Gerlach
- Aging top 5%
- Molecular Biology top 5%
- Protein Degradation and Inhibitors 9
- RNA and protein synthesis mechanisms 5
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 4
- Genomics and Phylogenetic Studies 3
- Cancer Research top 5%
- Infectious Diseases top 5%
- Endocrine and Autonomic Systems top 10%
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- Viral Infections and Immunology Research 6
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- Multiple Myeloma Research and Treatments 5
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- Respiratory viral infections research 5
- Co-authors
- Alexander StarkCosmas D. ArnoldMartina RathŁukasz M. BoryńChristoph StelzerEvgeny M. ZdobnovMatthias WolfTobias Müller
- Partner nations
- AustriaUnited StatesSwitzerland
In The Last Decade
Daniel Gerlach
39 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Aging 62
- Molecular Biology 1.8k
- Cancer Research 323
- Infectious Diseases 294
- Endocrine and Autonomic Systems 103
Countries citing papers authored by Daniel Gerlach
This map shows the geographic impact of Daniel Gerlach'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 Gerlach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gerlach more than expected).
Fields of papers citing papers by Daniel Gerlach
This network shows the impact of papers produced by Daniel Gerlach. 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 Gerlach. The network helps show where Daniel Gerlach may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Gerlach, 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 | 2024 | 7 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2021 | 67 | |
| 6 | 2021 | 38 | |
| 7 | 2018 | 34 | |
| 8 | 2016 | 42 | |
| 9 | 2014 | 106 | |
| 10 | 2014 | 124 | |
| 11 | 2014 | 97 | |
| 12 | 2014 | 46 | |
| 13 | Genome-Wide Quantitative Enhancer Activity Maps Identified by STARR-seqbreakdown → | 2013 | 725 |
| 14 | 2012 | 84 | |
| 15 | 2010 | 41 | |
| 16 | 2009 | 315 | |
| 17 | 2008 | 67 | |
| 18 | Vergleich von Provisioning-Tools | 2007 | 0 |
| 19 | 2007 | 58 | |
| 20 | 2007 | 7 |
About Daniel Gerlach
Daniel Gerlach is a scholar working on Hematology, Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology and Infectious Diseases, having authored 40 papers that have together received 2.7k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (9 papers), Viral Infections and Immunology Research (6 papers), Multiple Myeloma Research and Treatments (5 papers), RNA and protein synthesis mechanisms (5 papers), Respiratory viral infections research (5 papers), Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Aging (62 citations), Molecular Biology (1.8k citations), Cancer Research (323 citations), Infectious Diseases (294 citations) and Endocrine and Autonomic Systems (103 citations). Daniel Gerlach has collaborated with scholars based in Austria, United States and Switzerland. Frequent co-authors include Alexander Stark, Cosmas D. Arnold, Martina Rath, Łukasz M. Boryń, Christoph Stelzer, Evgeny M. Zdobnov, Matthias Wolf, Tobias Müller, Jörg Schultz and Laurent Kaiser. Their work appears in journals such as Cancer Research, PLoS ONE, European Journal of Cancer, Molecular Cancer Therapeutics and RNA.
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.