Steven Y. Hua
- Genetics top 10%
- Immunology top 10%
- Oncology top 10%
- Epidemiology
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Silvio DaneseGeert D’HaensDouglas C. WolfWilliam J. SandbornBrian G. FeaganSubrata GhoshLoren LaineJi Hwan Lee
- Topics
- Monoclonal and Polyclonal Antibodies Research (9 papers)Biosimilars and Bioanalytical Methods (8 papers)Pharmaceutical studies and practices (7 papers)
- Cited by
- ImmunologyGeneticsRheumatology
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Steven Y. Hua
37 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Genetics 336
- Immunology 305
- Oncology 277
- Epidemiology 229
- Radiology, Nuclear Medicine and Imaging 211
Countries citing papers authored by Steven Y. Hua
This map shows the geographic impact of Steven Y. Hua'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 Steven Y. Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Y. Hua more than expected).
Fields of papers citing papers by Steven Y. Hua
This network shows the impact of papers produced by Steven Y. Hua. 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 Steven Y. Hua. The network helps show where Steven Y. Hua may publish in the future.
Co-authorship network of co-authors of Steven Y. Hua
This figure shows the co-authorship network connecting the top 25 collaborators of Steven Y. Hua. A scholar is included among the top collaborators of Steven Y. Hua based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven Y. Hua. Steven Y. Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 107 | |
| 4 | 61 | |
| 5 | 37 | |
| 6 | 41 | |
| 7 | 2 | |
| 8 | 45 | |
| 9 | 42 | |
| 10 | 68 | |
| 11 | 32 | |
| 12 | 119 | |
| 13 | Anti-CD22 immunoconjugate inotuzumab ozogamicin (CMC-544) + rituximab: clinical activity in patients with relapsed/refractory follicular or 'aggressive' lymphoma | 2 |
| 14 | 1 | |
| 15 | 38 | |
| 16 | 21 | |
| 17 | 1 | |
| 18 | 15 | |
| 19 | Comparison of the Safety and IOP–Lowering Efficacy of Travoprost 0.004%/Timolol 0.5% Fixed Combination to the Concomitant Administration of Xalatan® and Timolol 0.5% | 2 |
| 20 | 82 |
About Steven Y. Hua
Steven Y. Hua is a scholar working on Statistics and Probability, Aging and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Biosimilars and Bioanalytical Methods (8 papers) and Pharmaceutical studies and practices (7 papers). The work is most often cited by research in Immunology (305 citations), Genetics (336 citations) and Rheumatology (174 citations). Steven Y. Hua has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Silvio Danese, Geert D’Haens, Douglas C. Wolf, William J. Sandborn, Brian G. Feagan, Subrata Ghosh, Loren Laine, Ji Hwan Lee, Keith Usiskin and AnnKatrin Petersen. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.
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.