Xiaohui Wei
Impact in
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
- Oncology 4
- Cytokine Signaling Pathways and Interactions 1
-
- Antibiotics Pharmacokinetics and Efficacy 3
- Co-authors
- Kenneth Kalunian (1 shared paper)Romeo Maciuca (1 shared paper)Jacqueline McBride (1 shared paper)William P. Kennedy (1 shared paper)Michael J. Townsend (1 shared paper)Joan T. Merrill (1 shared paper)John C. Davis (1 shared paper)Diana Luca (2 shared papers)
- Journals
- Nutrients (2 papers)Blood (1 paper)Clinical Cancer Research (1 paper)Clinical Infectious Diseases (1 paper)The Journal of Clinical Pharmacology (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xiaohui Wei
13 papers receiving 490 citations
Peers
Comparison fields: 5 of 54
- Rheumatology 242
- Immunology 244
- Molecular Medicine 52
- Applied Microbiology and Biotechnology 15
- Radiology, Nuclear Medicine and Imaging 110
Countries citing papers authored by Xiaohui Wei
This map shows the geographic impact of Xiaohui Wei'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 Xiaohui Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Wei more than expected).
Fields of papers citing papers by Xiaohui Wei
This network shows the impact of papers produced by Xiaohui Wei. 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 Xiaohui Wei. The network helps show where Xiaohui Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui Wei, 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 | 2015 | 275 | |
| 2 | 2012 | 111 | |
| 3 | 2020 | 38 | |
| 4 | 2008 | 30 | |
| 5 | 2022 | 15 | |
| 6 | 2018 | 12 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 7 | |
| 9 | 2021 | 7 | |
| 10 | 2005 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2014 | 3 | |
| 13 | 2024 | 1 |
About Xiaohui Wei
Xiaohui Wei is a scholar working on Oncology, Pharmacology, Public Health, Environmental and Occupational Health, Molecular Medicine and Epidemiology, having authored 13 papers that have together received 513 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (3 papers), Acute Myeloid Leukemia Research (2 papers), Obesity, Physical Activity, Diet (2 papers), Antibiotic Resistance in Bacteria (2 papers), Diet, Metabolism, and Disease (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Nutritional Studies and Diet (1 paper) and Diabetes Management and Education (1 paper). The work is most often cited by research in Rheumatology (242 citations), Immunology (244 citations), Molecular Medicine (52 citations), Applied Microbiology and Biotechnology (15 citations) and Radiology, Nuclear Medicine and Imaging (110 citations). Xiaohui Wei has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Kenneth Kalunian, Romeo Maciuca, Jacqueline McBride, William P. Kennedy, Michael J. Townsend, Joan T. Merrill, John C. Davis, Diana Luca, Brian Bressler and Richard N. Fedorak. Their work appears in journals such as Nutrients, Blood, Clinical Cancer Research, Clinical Infectious Diseases and The Journal of Clinical Pharmacology.
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.