Daniel S. Gerke
Impact in
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- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
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- Estrogen and related hormone effects
Papers in
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- Epigenetics and DNA Methylation 5
- Genomics and Chromatin Dynamics 4
- Cancer-related gene regulation 4
- Mitochondrial Function and Pathology 3
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Michael R. Stallcup (8 shared papers)Danielle Bittencourt (4 shared papers)Kwang Won Jeong (2 shared papers)Irina Ianculescu (2 shared papers)Dai‐Ying Wu (3 shared papers)Rajas Chodankar (2 shared papers)Daniel J. Purcell (1 shared paper)Laurie Herviou (1 shared paper)
- Journals
- Epigenetics & Chromatin (2 papers)Proceedings of the National Academy of Sciences (2 papers)Neurology (1 paper)Journal of Biological Chemistry (1 paper)EMBO Reports (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Daniel S. Gerke
13 papers receiving 382 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 288
- Genetics 71
- Immunology 42
- Endocrinology, Diabetes and Metabolism 23
- Cancer Research 18
Countries citing papers authored by Daniel S. Gerke
This map shows the geographic impact of Daniel S. Gerke'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 S. Gerke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Gerke more than expected).
Fields of papers citing papers by Daniel S. Gerke
This network shows the impact of papers produced by Daniel S. Gerke. 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 S. Gerke. The network helps show where Daniel S. Gerke may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Gerke, 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 | 2012 | 111 | |
| 2 | 2011 | 78 | |
| 3 | 2011 | 64 | |
| 4 | 2019 | 32 | |
| 5 | 2017 | 32 | |
| 6 | 2002 | 18 | |
| 7 | 2012 | 18 | |
| 8 | 2014 | 15 | |
| 9 | 2015 | 7 | |
| 10 | 2024 | 5 | |
| 11 | 2022 | 4 | |
| 12 | An Evaluation of Unmanned Aerial Systems and Structure-From-Motion for Fluvial Large Wood Sensing and Risk Assessment | 2019 | 2 |
| 13 | 2023 | 1 | |
| 14 | 2025 | 0 |
About Daniel S. Gerke
Daniel S. Gerke is a scholar working on Molecular Biology, Neurology, Oncology, Clinical Biochemistry and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 387 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (4 papers), Cancer-related gene regulation (4 papers), Mitochondrial Function and Pathology (3 papers), Estrogen and related hormone effects (1 paper), Glycosylation and Glycoproteins Research (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Molecular Biology (288 citations), Genetics (71 citations), Immunology (42 citations), Endocrinology, Diabetes and Metabolism (23 citations) and Cancer Research (18 citations). Daniel S. Gerke has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Michael R. Stallcup, Danielle Bittencourt, Kwang Won Jeong, Irina Ianculescu, Dai‐Ying Wu, Rajas Chodankar, Daniel J. Purcell, Laurie Herviou, Kimberly D. Siegmund and Coralie Poulard. Their work appears in journals such as Epigenetics & Chromatin, Proceedings of the National Academy of Sciences, Neurology, Journal of Biological Chemistry and EMBO Reports.
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.