Xu Steven Xu
- Hematology top 5%
- Multiple Myeloma Research and Treatments 8
- Internal Medicine top 10%
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- Peptidase Inhibition and Analysis 5
- Physiology top 10%
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- Statistical Methods in Clinical Trials 7
- Statistical Methods and Bayesian Inference 6
- Statistical Methods and Inference 5
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- Protein Degradation and Inhibitors 5
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- Monoclonal and Polyclonal Antibodies Research 4
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- Genetic Associations and Epidemiology 3
- Co-authors
- Partha NandyMin YuanAn VermeulenPamela L. ClemensXiaoyu YanSagar LonialTahamtan AhmadiHenk M. Lokhorst
- Cited by
- HematologyInternal MedicineOncology
- Journals
- Clinical Pharmacokinetics (6 papers)Journal of Pharmacokinetics and Pharmacodynamics (4 papers)The AAPS Journal (3 papers)
- Partner nations
- United StatesBelgiumChina
In The Last Decade
Xu Steven Xu
36 papers receiving 782 citations
Peers
Comparison fields: 5 of 114
- Hematology 243
- Internal Medicine 30
- Oncology 203
- Physiology 30
- Immunology 113
Countries citing papers authored by Xu Steven Xu
This map shows the geographic impact of Xu Steven Xu'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 Xu Steven Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xu Steven Xu more than expected).
Fields of papers citing papers by Xu Steven Xu
This network shows the impact of papers produced by Xu Steven Xu. 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 Xu Steven Xu. The network helps show where Xu Steven Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xu Steven Xu, 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 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 23 | |
| 6 | 2021 | 91 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 9 | |
| 9 | 2020 | 5 | |
| 10 | 2017 | 160 | |
| 11 | 2016 | 63 | |
| 12 | 2016 | 13 | |
| 13 | 2014 | 6 | |
| 14 | Modeling continuous bounded outcome scores using beta regression with NONMEM (R) VII | 2013 | 1 |
| 15 | 2013 | 17 | |
| 16 | 2012 | 18 | |
| 17 | 2012 | 45 | |
| 18 | 2011 | 32 | |
| 19 | 2011 | 5 | |
| 20 | 2010 | 25 |
About Xu Steven Xu
Xu Steven Xu is a scholar working on Statistics and Probability, Hematology, Biological Psychiatry, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 36 papers that have together received 792 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Statistical Methods in Clinical Trials (7 papers), Statistical Methods and Bayesian Inference (6 papers), Statistical Methods and Inference (5 papers), Protein Degradation and Inhibitors (5 papers), Peptidase Inhibition and Analysis (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Hematology (243 citations), Internal Medicine (30 citations), Oncology (203 citations), Physiology (30 citations) and Immunology (113 citations). Xu Steven Xu has collaborated with scholars based in United States, Belgium and China. Frequent co-authors include Partha Nandy, Min Yuan, An Vermeulen, Pamela L. Clemens, Xiaoyu Yan, Sagar Lonial, Tahamtan Ahmadi, Henk M. Lokhorst, Imran Khan and Yaning Yang. Their work appears in journals such as Clinical Pharmacokinetics, Journal of Pharmacokinetics and Pharmacodynamics, The AAPS Journal, Advances in Therapy and Statistical Methods in Medical 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.