Daniel J. Weisenberger
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 19
- Molecular Biology top 0.5%
- Epigenetics and DNA Methylation 71
- RNA modifications and cancer 22
- Cancer-related gene regulation 21
- Genomics and Chromatin Dynamics 10
- Pathology and Forensic Medicine top 0.5%
- Genetic factors in colorectal cancer 24
- Oncology top 1%
- Colorectal Cancer Screening and Detection 15
- Genetics top 1%
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- Bladder and Urothelial Cancer Treatments 7
- Co-authors
- Peter W. LairdGangning LiangKimberly D. SiegmundPeter A. JonesMihaela CampanDavid Van Den BergFelicidad A. GonzalesJonathan Cheng
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (3 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Daniel J. Weisenberger
108 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Cancer Research 1.8k
- Molecular Biology 7.2k
- Pathology and Forensic Medicine 1.4k
- Oncology 1.9k
- Genetics 1.4k
Countries citing papers authored by Daniel J. Weisenberger
This map shows the geographic impact of Daniel J. Weisenberger'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 J. Weisenberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Weisenberger more than expected).
Fields of papers citing papers by Daniel J. Weisenberger
This network shows the impact of papers produced by Daniel J. Weisenberger. 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 J. Weisenberger. The network helps show where Daniel J. Weisenberger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel J. Weisenberger, 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 | 2025 | 3 | |
| 2 | 2023 | 11 | |
| 3 | 2023 | 16 | |
| 4 | 2022 | 27 | |
| 5 | 2022 | 45 | |
| 6 | 2022 | 3 | |
| 7 | Wnt5a promotes diabetic corneal epithelial wound healing and limbal stem cell expression | 2021 | 2 |
| 8 | 2020 | 27 | |
| 9 | 2019 | 24 | |
| 10 | 2018 | 49 | |
| 11 | 2017 | 43 | |
| 12 | 2016 | 29 | |
| 13 | 2015 | 21 | |
| 14 | 2015 | 10 | |
| 15 | 2013 | 19 | |
| 16 | 2011 | 32 | |
| 17 | 2011 | 58 | |
| 18 | 2010 | 144 | |
| 19 | 2004 | 168 | |
| 20 | 2004 | 254 |
About Daniel J. Weisenberger
Daniel J. Weisenberger is a scholar working on Cancer Research, Pathology and Forensic Medicine and Molecular Biology, having authored 109 papers that have together received 9.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (71 papers), Genetic factors in colorectal cancer (24 papers), RNA modifications and cancer (22 papers), Cancer-related gene regulation (21 papers), Cancer Genomics and Diagnostics (19 papers), Colorectal Cancer Screening and Detection (15 papers), Genomics and Chromatin Dynamics (10 papers) and Bladder and Urothelial Cancer Treatments (7 papers). The work is most often cited by research in Cancer Research (1.8k citations), Molecular Biology (7.2k citations) and Pathology and Forensic Medicine (1.4k citations). Daniel J. Weisenberger has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Peter W. Laird, Gangning Liang, Kimberly D. Siegmund, Peter A. Jones, Mihaela Campan, David Van Den Berg, Felicidad A. Gonzales, Jonathan Cheng, Toshinori Hinoue and Timothy J. Triche. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.