Daniel E. Webster
Impact in
-
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
- Histone Deacetylase Inhibitors Research
- RNA modifications and cancer
- Pluripotent Stem Cells Research
- RNA Research and Splicing
- Urology top 10%
Papers in
-
- Epigenetics and DNA Methylation 3
- Cancer-related gene regulation 3
- Genomics and Chromatin Dynamics 1
- Protein Degradation and Inhibitors 1
- Oncology 3
- CAR-T cell therapy research 3
- Co-authors
- Paul A. Khavari (3 shared papers)George L. Sen (2 shared papers)Jason Reuter (1 shared paper)Howard Y. Chang (1 shared paper)Deborah I. Barragan (1 shared paper)Wenming Xiao (2 shared papers)Masao Nakagawa (2 shared papers)Louis M. Staudt (3 shared papers)
- Journals
- Hematological Oncology (1 paper)Blood (1 paper)Genes & Development (1 paper)Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Daniel E. Webster
8 papers receiving 786 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 576
- Urology 39
- Immunology 120
- Oncology 125
- Cancer Research 65
Countries citing papers authored by Daniel E. Webster
This map shows the geographic impact of Daniel E. Webster'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 E. Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Webster more than expected).
Fields of papers citing papers by Daniel E. Webster
This network shows the impact of papers produced by Daniel E. Webster. 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 E. Webster. The network helps show where Daniel E. Webster may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Webster, 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 | 2010 | 355 | |
| 2 | 2008 | 219 | |
| 3 | 2016 | 68 | |
| 4 | 2019 | 60 | |
| 5 | 2017 | 53 | |
| 6 | 2010 | 22 | |
| 7 | 2019 | 10 | |
| 8 | 2017 | 3 |
About Daniel E. Webster
Daniel E. Webster is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Immunology and Genetics, having authored 8 papers that have together received 790 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (3 papers), CAR-T cell therapy research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Immune Cell Function and Interaction (2 papers), Genomics and Chromatin Dynamics (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Molecular Biology (576 citations), Urology (39 citations), Immunology (120 citations), Oncology (125 citations) and Cancer Research (65 citations). Daniel E. Webster has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Paul A. Khavari, George L. Sen, Jason Reuter, Howard Y. Chang, Deborah I. Barragan, Wenming Xiao, Masao Nakagawa, Louis M. Staudt, James D. Phelan and Roland Schmitz. Their work appears in journals such as Hematological Oncology, Blood, Genes & Development, Nature and Proceedings of the National Academy of Sciences.
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.