Danny Wangsa
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
- Oncology top 10%
- CAR-T cell therapy research
Papers in
- Genetics 14
- Genomic variations and chromosomal abnormalities 12
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- Genetic factors in colorectal cancer 5
- Co-authors
- Thomas Ried (22 shared papers)Β. Michael Ghadimi (7 shared papers)Hesed M. Padilla‐Nash (10 shared papers)Evelin Schröck (3 shared papers)Michael J. Difilippantonio (6 shared papers)Robert L. Walker (1 shared paper)Paul S. Meltzer (2 shared papers)Marian Grade (4 shared papers)
- Journals
- Genes Chromosomes and Cancer (8 papers)Cancer Research (4 papers)Oncogene (2 papers)Scientific Reports (2 papers)American Journal Of Pathology (2 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Danny Wangsa
38 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 78
- Otorhinolaryngology 80
- Oncology 320
- Cancer Research 181
- Genetics 389
- Pathology and Forensic Medicine 146
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 173 | |
| 2 | 2007 | 154 | |
| 3 | 2018 | 140 | |
| 4 | 2007 | 104 | |
| 5 | 2007 | 98 | |
| 6 | 2003 | 87 | |
| 7 | 2006 | 86 | |
| 8 | 2001 | 75 | |
| 9 | 2009 | 72 | |
| 10 | 1997 | 68 | |
| 11 | 2013 | 61 | |
| 12 | 1999 | 60 | |
| 13 | 2009 | 60 | |
| 14 | 2006 | 47 | |
| 15 | 2017 | 41 | |
| 16 | 2002 | 36 | |
| 17 | 2017 | 36 | |
| 18 | 2014 | 29 | |
| 19 | 2001 | 26 | |
| 20 | 2011 | 25 |
About Danny Wangsa
Danny Wangsa is a scholar working on Genetics, Pathology and Forensic Medicine, Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (12 papers), Genetic factors in colorectal cancer (5 papers), Cancer Genomics and Diagnostics (4 papers), Renal cell carcinoma treatment (4 papers), DNA Repair Mechanisms (3 papers), Cervical Cancer and HPV Research (2 papers), Microtubule and mitosis dynamics (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Otorhinolaryngology (80 citations), Oncology (320 citations), Cancer Research (181 citations), Genetics (389 citations) and Pathology and Forensic Medicine (146 citations). Danny Wangsa has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Thomas Ried, Β. Michael Ghadimi, Hesed M. Padilla‐Nash, Evelin Schröck, Michael J. Difilippantonio, Robert L. Walker, Paul S. Meltzer, Marian Grade, Kerstin Heselmeyer‐Haddad and Jordi Camps. Their work appears in journals such as Genes Chromosomes and Cancer, Cancer Research, Oncogene, Scientific Reports and American Journal Of Pathology.
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.