Xiaolu Wu
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 10%
- interferon and immune responses
- Immune Cell Function and Interaction
Papers in
-
- Plant Gene Expression Analysis 5
-
- Plant Stress Responses and Tolerance 5
- GABA and Rice Research 4
- Co-authors
- Thomas J. Hope (3 shared papers)Edward M. Campbell (3 shared papers)Jenny L. Anderson (2 shared papers)Ajith M. Joseph (1 shared paper)Alan Engelman (1 shared paper)Nick Vandegraaff (1 shared paper)Xueqin Wan (8 shared papers)Ran Li (11 shared papers)
- Journals
- Carbohydrate Polymers (2 papers)Journal of Virology (1 paper)Frontiers in Psychiatry (1 paper)Renal Failure (1 paper)Tree Physiology (1 paper)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Xiaolu Wu
37 papers receiving 950 citations
Peers
Comparison fields: 5 of 104
- Virology 346
- Immunology 243
- Epidemiology 177
- Infectious Diseases 99
- Pathology and Forensic Medicine 84
Countries citing papers authored by Xiaolu Wu
This map shows the geographic impact of Xiaolu Wu'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 Xiaolu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolu Wu more than expected).
Fields of papers citing papers by Xiaolu Wu
This network shows the impact of papers produced by Xiaolu Wu. 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 Xiaolu Wu. The network helps show where Xiaolu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolu Wu, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 237 | |
| 2 | 2006 | 148 | |
| 3 | A meta-analysis of the relationship between vitamin D deficiency and obesity. | 2015 | 104 |
| 4 | 2007 | 56 | |
| 5 | 2019 | 55 | |
| 6 | 2022 | 46 | |
| 7 | 2019 | 38 | |
| 8 | 2021 | 36 | |
| 9 | 2019 | 28 | |
| 10 | 2020 | 27 | |
| 11 | 2023 | 16 | |
| 12 | 2021 | 16 | |
| 13 | 2023 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2019 | 13 | |
| 16 | 2023 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2018 | 10 |
About Xiaolu Wu
Xiaolu Wu is a scholar working on Molecular Biology, Plant Science, Immunology, Oncology and Physiology, having authored 38 papers that have together received 967 indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (5 papers), Plant Stress Responses and Tolerance (5 papers), GABA and Rice Research (4 papers), interferon and immune responses (3 papers), Acute Myeloid Leukemia Research (3 papers), HIV Research and Treatment (3 papers), Biochemical and biochemical processes (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Virology (346 citations), Immunology (243 citations), Epidemiology (177 citations), Infectious Diseases (99 citations) and Pathology and Forensic Medicine (84 citations). Xiaolu Wu has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Thomas J. Hope, Edward M. Campbell, Jenny L. Anderson, Ajith M. Joseph, Alan Engelman, Nick Vandegraaff, Xueqin Wan, Ran Li, Qinglin Liu and Fan Zhang. Their work appears in journals such as Carbohydrate Polymers, Journal of Virology, Frontiers in Psychiatry, Renal Failure and Tree Physiology.
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.