Shang‐Yi Huang
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 56
- Multiple Myeloma Research and Treatments 41
- Acute Myeloid Leukemia Research 17
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- Protein Degradation and Inhibitors 13
- Co-authors
- Hwei‐Fang Tien (44 shared papers)Jih‐Luh Tang (43 shared papers)Woei Tsay (31 shared papers)Ming Yao (37 shared papers)Chien‐Yuan Chen (26 shared papers)Wen‐Chien Chou (30 shared papers)Shang‐Ju Wu (23 shared papers)Hsin‐An Hou (23 shared papers)
- Journals
- Blood (15 papers)British Journal of Haematology (6 papers)PLoS ONE (5 papers)Annals of Hematology (4 papers)Annals of Oncology (3 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Shang‐Yi Huang
90 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 106
- Hematology 1.4k
- Genetics 475
- Cancer Research 242
- Oncology 406
- Otorhinolaryngology 61
Countries citing papers authored by Shang‐Yi Huang
This map shows the geographic impact of Shang‐Yi Huang'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 Shang‐Yi Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shang‐Yi Huang more than expected).
Fields of papers citing papers by Shang‐Yi Huang
This network shows the impact of papers produced by Shang‐Yi Huang. 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 Shang‐Yi Huang. The network helps show where Shang‐Yi Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shang‐Yi Huang, 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 | 2009 | 250 | |
| 2 | 2010 | 166 | |
| 3 | 2010 | 157 | |
| 4 | 2010 | 117 | |
| 5 | 2012 | 111 | |
| 6 | 2008 | 105 | |
| 7 | 1998 | 96 | |
| 8 | 2011 | 85 | |
| 9 | 2018 | 73 | |
| 10 | 2007 | 72 | |
| 11 | 2008 | 60 | |
| 12 | 2012 | 51 | |
| 13 | 2013 | 50 | |
| 14 | 2010 | 49 | |
| 15 | 2013 | 48 | |
| 16 | 2003 | 48 | |
| 17 | 2014 | 48 | |
| 18 | 2013 | 48 | |
| 19 | Trends and antimicrobial resistance of pathogens causing bloodstream infections among febrile neutropenic adults with hematological malignancy. | 2004 | 46 |
| 20 | 2019 | 44 |
About Shang‐Yi Huang
Shang‐Yi Huang is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Epidemiology, having authored 91 papers that have together received 2.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (41 papers), Acute Myeloid Leukemia Research (17 papers), Protein Degradation and Inhibitors (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Peptidase Inhibition and Analysis (7 papers), Neutropenia and Cancer Infections (5 papers), Cancer Treatment and Pharmacology (5 papers) and Antifungal resistance and susceptibility (4 papers). The work is most often cited by research in Hematology (1.4k citations), Genetics (475 citations), Cancer Research (242 citations), Oncology (406 citations) and Otorhinolaryngology (61 citations). Shang‐Yi Huang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Hwei‐Fang Tien, Jih‐Luh Tang, Woei Tsay, Ming Yao, Chien‐Yuan Chen, Wen‐Chien Chou, Shang‐Ju Wu, Hsin‐An Hou, Yao‐Chang Chen and Bor‐Sheng Ko. Their work appears in journals such as Blood, British Journal of Haematology, PLoS ONE, Annals of Hematology and Annals of Oncology.
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.