Ya‐Wei Qiang
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Bone health and treatments
- Peptidase Inhibition and Analysis
Papers in
- Hematology 16
- Multiple Myeloma Research and Treatments 16
- Oncology 20
- Peptidase Inhibition and Analysis 13
- Bone health and treatments 7
- Co-authors
- John D. ShaughnessyStuart RudikoffBart BarlogieYu ChenJoshua EpsteinJoseph J. PinzoneBrett M. HallThomas J. Rosol
- Journals
- Blood (23 papers)British Journal of Haematology (1 paper)Molecular Biology of the Cell (1 paper)Molecular Oncology (1 paper)Seminars in Hematology (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Ya‐Wei Qiang
32 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 81
- Hematology 620
- Oncology 685
- Molecular Biology 1.1k
- Genetics 109
- Orthopedics and Sports Medicine 78
Countries citing papers authored by Ya‐Wei Qiang
This map shows the geographic impact of Ya‐Wei Qiang'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 Ya‐Wei Qiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya‐Wei Qiang more than expected).
Fields of papers citing papers by Ya‐Wei Qiang
This network shows the impact of papers produced by Ya‐Wei Qiang. 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 Ya‐Wei Qiang. The network helps show where Ya‐Wei Qiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ya‐Wei Qiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2018 | 25 | |
| 5 | 2017 | 0 | |
| 6 | 2017 | 15 | |
| 7 | 2016 | 1 | |
| 8 | 2015 | 1 | |
| 9 | 2013 | 36 | |
| 10 | 2012 | 26 | |
| 11 | 2012 | 4 | |
| 12 | 2011 | 2 | |
| 13 | 2009 | 52 | |
| 14 | 2008 | 185 | |
| 15 | Conjugates of Enzyme-Magnetic Nanoparticles for Bioremediation* | 2007 | 1 |
| 16 | 2007 | 132 | |
| 17 | 2005 | 112 | |
| 18 | 2004 | 20 | |
| 19 | 2003 | 126 | |
| 20 | 2000 | 20 |
About Ya‐Wei Qiang
Ya‐Wei Qiang is a scholar working on Hematology, Oncology, Molecular Biology, Cancer Research and Immunology and Allergy, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (16 papers), Peptidase Inhibition and Analysis (13 papers), Wnt/β-catenin signaling in development and cancer (11 papers), Bone health and treatments (7 papers), Ubiquitin and proteasome pathways (7 papers), Protein Degradation and Inhibitors (5 papers), Cancer-related gene regulation (5 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Hematology (620 citations), Oncology (685 citations), Molecular Biology (1.1k citations), Genetics (109 citations) and Orthopedics and Sports Medicine (78 citations). Ya‐Wei Qiang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include John D. Shaughnessy, Stuart Rudikoff, Bart Barlogie, Yu Chen, Joshua Epstein, Joseph J. Pinzone, Brett M. Hall, Thomas J. Rosol, Nanda K. Thudi and E. P. Kopantzev. Their work appears in journals such as Blood, British Journal of Haematology, Molecular Biology of the Cell, Molecular Oncology and Seminars in Hematology.
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.