David T. Yang
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 30
- Oncology 28
- Viral-associated cancers and disorders 10
- Co-authors
- Brad S. Kahl (19 shared papers)Matthew J. Oberley (5 shared papers)George M. Rodgers (3 shared papers)Hyunhee Kim (2 shared papers)Shigeki Miyamoto (8 shared papers)Thomas A. Buchanan (1 shared paper)Robert K. Rude (1 shared paper)S. D. Scott (1 shared paper)
- Journals
- Blood (20 papers)American Journal of Clinical Pathology (8 papers)Journal of Clinical Investigation (3 papers)Archives of Pathology & Laboratory Medicine (3 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
David T. Yang
89 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 116
- Genetics 602
- Pathology and Forensic Medicine 653
- Hematology 354
- Oncology 768
- Cancer Research 311
Countries citing papers authored by David T. Yang
This map shows the geographic impact of David T. Yang'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 David T. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Yang more than expected).
Fields of papers citing papers by David T. Yang
This network shows the impact of papers produced by David T. Yang. 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 David T. Yang. The network helps show where David T. Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside David T. Yang, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 206 | |
| 2 | 2012 | 197 | |
| 3 | Identification of cervical cancer markers by cDNA and tissue microarrays. | 2003 | 138 |
| 4 | 2006 | 115 | |
| 5 | 2016 | 105 | |
| 6 | 2015 | 89 | |
| 7 | 2012 | 78 | |
| 8 | 2014 | 75 | |
| 9 | 2015 | 75 | |
| 10 | 2015 | 60 | |
| 11 | 2015 | 58 | |
| 12 | 2015 | 57 | |
| 13 | 2013 | 57 | |
| 14 | 2019 | 54 | |
| 15 | 2016 | 53 | |
| 16 | 2004 | 53 | |
| 17 | 2004 | 53 | |
| 18 | 2013 | 51 | |
| 19 | 2014 | 49 | |
| 20 | 2008 | 48 |
About David T. Yang
David T. Yang is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Genetics and Hematology, having authored 91 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (30 papers), Chronic Lymphocytic Leukemia Research (18 papers), Viral-associated cancers and disorders (10 papers), Acute Myeloid Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), Protein Degradation and Inhibitors (5 papers), Head and Neck Cancer Studies (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Genetics (602 citations), Pathology and Forensic Medicine (653 citations), Hematology (354 citations), Oncology (768 citations) and Cancer Research (311 citations). David T. Yang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Brad S. Kahl, Matthew J. Oberley, George M. Rodgers, Hyunhee Kim, Shigeki Miyamoto, Thomas A. Buchanan, Robert K. Rude, S. D. Scott, Willa A. Hsueh and T M Chan. Their work appears in journals such as Blood, American Journal of Clinical Pathology, Journal of Clinical Investigation, Archives of Pathology & Laboratory Medicine and Clinical Cancer Research.
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.