Danny Wangsa
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
Papers in ⓘ
-
- Genomics and Chromatin Dynamics 4
- Epigenetics and DNA Methylation 3
- Chromatin Remodeling and Cancer 3
- Oncology 11
- Co-authors
- Thomas Ried (30 shared papers)Hesed Padilla‐Nash (11 shared papers)Β. Michael Ghadimi (6 shared papers)Evelin Schröck (3 shared papers)Michael J. Difilippantonio (6 shared papers)Robert L. Walker (1 shared paper)Theodoros N. Teknos (1 shared paper)James W. Rocco (1 shared paper)
- Journals
- Genes Chromosomes and Cancer (8 papers)Cancer Research (4 papers)American Journal Of Pathology (2 papers)Oncogene (2 papers)Neoplasia (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Danny Wangsa
32 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 469
- Otorhinolaryngology 134
- Oncology 577
- Genetics 463
- Molecular Biology 1000
Countries citing papers authored by Danny Wangsa
This map shows the geographic impact of Danny Wangsa'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 Danny Wangsa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Wangsa more than expected).
Fields of papers citing papers by Danny Wangsa
This network shows the impact of papers produced by Danny Wangsa. 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 Danny Wangsa. The network helps show where Danny Wangsa may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny Wangsa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 329 | |
| 2 | 1999 | 165 | |
| 3 | 2007 | 144 | |
| 4 | 2018 | 118 | |
| 5 | 2007 | 98 | |
| 6 | 2007 | 96 | |
| 7 | 2003 | 84 | |
| 8 | 2006 | 83 | |
| 9 | 2001 | 76 | |
| 10 | 2009 | 66 | |
| 11 | 1997 | 65 | |
| 12 | 2009 | 55 | |
| 13 | 2013 | 54 | |
| 14 | 1999 | 53 | |
| 15 | 2006 | 44 | |
| 16 | 2017 | 38 | |
| 17 | 2002 | 32 | |
| 18 | 2014 | 26 | |
| 19 | 2001 | 23 | |
| 20 | 2011 | 22 |
About Danny Wangsa
Danny Wangsa is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Genetics and Cancer Research, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (9 papers), Genomic variations and chromosomal abnormalities (8 papers), Cancer Genomics and Diagnostics (7 papers), Genomics and Chromatin Dynamics (4 papers), Chromosomal and Genetic Variations (4 papers), Epigenetics and DNA Methylation (3 papers), Microtubule and mitosis dynamics (3 papers) and Chromatin Remodeling and Cancer (3 papers). The work is most often cited by research in Cancer Research (469 citations), Otorhinolaryngology (134 citations), Oncology (577 citations), Genetics (463 citations) and Molecular Biology (1000 citations). Danny Wangsa has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Thomas Ried, Hesed Padilla‐Nash, Β. Michael Ghadimi, Evelin Schröck, Michael J. Difilippantonio, Robert L. Walker, Theodoros N. Teknos, James W. Rocco, Dandan He and Keiko Akagi. Their work appears in journals such as Genes Chromosomes and Cancer, Cancer Research, American Journal Of Pathology, Oncogene and Neoplasia.
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.