Daniel Wai
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in ⓘ
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- Cancer Genomics and Diagnostics 4
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- Lymphoma Diagnosis and Treatment 8
- Co-authors
- Christopher Poremba (23 shared papers)Karl‐Ludwig Schaefer (15 shared papers)Barbara Dockhorn‐Dworniczak (13 shared papers)Raihanatou Diallo (10 shared papers)Werner Boecker (10 shared papers)Toshifumi Ozaki (10 shared papers)Yvonne Braun (9 shared papers)F. van Valen (4 shared papers)
- Journals
- Cancer Research (5 papers)Oncology Reports (3 papers)International Journal of Cancer (2 papers)Oncogene (2 papers)Pediatric Blood & Cancer (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Daniel Wai
42 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 362
- Oncology 514
- Pulmonary and Respiratory Medicine 616
- Pathology and Forensic Medicine 252
- Molecular Biology 945
Countries citing papers authored by Daniel Wai
This map shows the geographic impact of Daniel Wai'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 Wai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wai more than expected).
Fields of papers citing papers by Daniel Wai
This network shows the impact of papers produced by Daniel Wai. 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 Wai. The network helps show where Daniel Wai may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Wai, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 223 | |
| 2 | 2001 | 139 | |
| 3 | 2002 | 106 | |
| 4 | 2016 | 104 | |
| 5 | 2000 | 103 | |
| 6 | 2009 | 94 | |
| 7 | 2010 | 80 | |
| 8 | 2008 | 77 | |
| 9 | 2002 | 74 | |
| 10 | 2013 | 71 | |
| 11 | 2004 | 62 | |
| 12 | 2002 | 59 | |
| 13 | 2001 | 58 | |
| 14 | 2004 | 56 | |
| 15 | 2010 | 55 | |
| 16 | 2009 | 48 | |
| 17 | 2013 | 35 | |
| 18 | 2006 | 33 | |
| 19 | 2003 | 33 | |
| 20 | 2002 | 24 |
About Daniel Wai
Daniel Wai is a scholar working on Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Immunology and Allergy and Molecular Biology, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (19 papers), Lymphoma Diagnosis and Treatment (8 papers), RNA Research and Splicing (4 papers), Telomeres, Telomerase, and Senescence (4 papers), Cancer Genomics and Diagnostics (4 papers), Genomics and Chromatin Dynamics (4 papers), Molecular Biology Techniques and Applications (4 papers) and Bone Tumor Diagnosis and Treatments (4 papers). The work is most often cited by research in Cancer Research (362 citations), Oncology (514 citations), Pulmonary and Respiratory Medicine (616 citations), Pathology and Forensic Medicine (252 citations) and Molecular Biology (945 citations). Daniel Wai has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Christopher Poremba, Karl‐Ludwig Schaefer, Barbara Dockhorn‐Dworniczak, Raihanatou Diallo, Werner Boecker, Toshifumi Ozaki, Yvonne Braun, F. van Valen, Poul H. Sorensen and Timothy J. Triche. Their work appears in journals such as Cancer Research, Oncology Reports, International Journal of Cancer, Oncogene and Pediatric Blood & Cancer.
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.