Daniel Wai
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
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- Sarcoma Diagnosis and Treatment
Papers in
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- RNA Research and Splicing 4
- Molecular Biology Techniques and Applications 4
- Genomics and Chromatin Dynamics 4
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- Sarcoma Diagnosis and Treatment 20
- Co-authors
- Christopher Poremba (23 shared papers)Karl‐Ludwig Schaefer (17 shared papers)Barbara Dockhorn‐Dworniczak (13 shared papers)Werner Boecker (10 shared papers)Raihanatou Diallo (10 shared papers)Toshifumi Ozaki (10 shared papers)Yvonne Braun (9 shared papers)Poul H. Sorensen (4 shared papers)
- Journals
- Cancer Research (5 papers)Oncology Reports (3 papers)Oncogene (2 papers)International Journal of Cancer (2 papers)The Journal of Pathology (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Daniel Wai
43 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 80
- Cancer Research 332
- Pulmonary and Respiratory Medicine 606
- Oncology 469
- Pathology and Forensic Medicine 222
- Molecular Biology 895
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 230 | |
| 2 | 2001 | 147 | |
| 3 | 2000 | 118 | |
| 4 | 2002 | 109 | |
| 5 | 2016 | 106 | |
| 6 | 2009 | 95 | |
| 7 | 2010 | 83 | |
| 8 | 2008 | 79 | |
| 9 | 2002 | 77 | |
| 10 | 2013 | 75 | |
| 11 | 2001 | 65 | |
| 12 | 2004 | 63 | |
| 13 | 2004 | 62 | |
| 14 | 2002 | 60 | |
| 15 | 2010 | 56 | |
| 16 | 2009 | 48 | |
| 17 | 2013 | 37 | |
| 18 | 2006 | 34 | |
| 19 | 2003 | 34 | |
| 20 | 2019 | 24 |
About Daniel Wai
Daniel Wai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Cancer Research and Physiology, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (20 papers), Lymphoma Diagnosis and Treatment (6 papers), Bone Tumor Diagnosis and Treatments (4 papers), RNA Research and Splicing (4 papers), Molecular Biology Techniques and Applications (4 papers), Telomeres, Telomerase, and Senescence (4 papers), Genomics and Chromatin Dynamics (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Cancer Research (332 citations), Pulmonary and Respiratory Medicine (606 citations), Oncology (469 citations), Pathology and Forensic Medicine (222 citations) and Molecular Biology (895 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, Werner Boecker, Raihanatou Diallo, Toshifumi Ozaki, Yvonne Braun, Poul H. Sorensen, F. van Valen and Timothy J. Triche. Their work appears in journals such as Cancer Research, Oncology Reports, Oncogene, International Journal of Cancer and The 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.