Danny Wangsa
Impact in
- Otorhinolaryngology top 2%
- Head and Neck Cancer Studies
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Genomics and Chromatin Dynamics 4
- DNA Repair Mechanisms 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)Bhavna Kumar (1 shared paper)David E. Symer (1 shared paper)Paul S. Meltzer (2 shared papers)
- Journals
- Genes Chromosomes and Cancer (8 papers)Cancer Research (4 papers)Oncogene (2 papers)American Journal Of Pathology (2 papers)Mammalian Genome (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Danny Wangsa
32 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 91
- Otorhinolaryngology 133
- Cancer Research 428
- Oncology 503
- Genetics 451
- Molecular Biology 942
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 | 344 | |
| 2 | 1999 | 172 | |
| 3 | 2007 | 150 | |
| 4 | 2018 | 130 | |
| 5 | 2007 | 99 | |
| 6 | 2007 | 97 | |
| 7 | 2003 | 86 | |
| 8 | 2006 | 85 | |
| 9 | 2001 | 76 | |
| 10 | 1997 | 68 | |
| 11 | 2009 | 67 | |
| 12 | 1999 | 59 | |
| 13 | 2013 | 55 | |
| 14 | 2009 | 55 | |
| 15 | 2006 | 44 | |
| 16 | 2017 | 39 | |
| 17 | 2002 | 34 | |
| 18 | 2014 | 28 | |
| 19 | 2001 | 25 | |
| 20 | 2011 | 24 |
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), Chromosomal and Genetic Variations (4 papers), Genomics and Chromatin Dynamics (4 papers), DNA Repair Mechanisms (3 papers), Microtubule and mitosis dynamics (3 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Otorhinolaryngology (133 citations), Cancer Research (428 citations), Oncology (503 citations), Genetics (451 citations) and Molecular Biology (942 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, Bhavna Kumar, David E. Symer, Paul S. Meltzer, Bo Jiang and Maura L. Gillison. Their work appears in journals such as Genes Chromosomes and Cancer, Cancer Research, Oncogene, American Journal Of Pathology and Mammalian Genome.
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.