Xiaoli Wang
Impact in
- Genetics top 1%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Mesenchymal stem cell research
- Hematology top 2%
- Acute Myeloid Leukemia Research
Papers in
-
- Advanced biosensing and bioanalysis techniques 9
- Genetics 52
- Myeloproliferative Neoplasms: Diagnosis and Treatment 33
- Mesenchymal stem cell research 13
- Co-authors
- Ronald Hoffman (30 shared papers)Jun Ren (21 shared papers)Xinna Zhou (19 shared papers)Min Lü (10 shared papers)H. Kim Lyerly (13 shared papers)Yijun Luo (5 shared papers)Chi Li (2 shared papers)Mingjiang Xu (11 shared papers)
- Journals
- Blood (22 papers)Medicine (5 papers)Stem Cells (5 papers)Scientific Reports (4 papers)Experimental Hematology (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaoli Wang
321 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 161
- Genetics 667
- Hematology 519
- Cancer Research 495
- Oncology 836
- Immunology 636
Countries citing papers authored by Xiaoli Wang
This map shows the geographic impact of Xiaoli Wang'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 Xiaoli Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Wang more than expected).
Fields of papers citing papers by Xiaoli Wang
This network shows the impact of papers produced by Xiaoli Wang. 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 Xiaoli Wang. The network helps show where Xiaoli Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Wang, 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 341 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 198 | |
| 2 | 2014 | 144 | |
| 3 | 2007 | 139 | |
| 4 | 2016 | 100 | |
| 5 | 2013 | 91 | |
| 6 | 2022 | 89 | |
| 7 | 2014 | 81 | |
| 8 | miR-15a/16 are upreuglated in the serum of neonatal sepsis patients and inhibit the LPS-induced inflammatory pathway. | 2015 | 79 |
| 9 | 2020 | 77 | |
| 10 | 2005 | 71 | |
| 11 | 2019 | 71 | |
| 12 | 2012 | 69 | |
| 13 | 2017 | 67 | |
| 14 | 2016 | 66 | |
| 15 | 2010 | 65 | |
| 16 | 2009 | 65 | |
| 17 | 2013 | 65 | |
| 18 | 2013 | 60 | |
| 19 | 2016 | 56 | |
| 20 | 2013 | 54 |
About Xiaoli Wang
Xiaoli Wang is a scholar working on Molecular Biology, Genetics, Hematology, Surgery and Oncology, having authored 341 papers that have together received 5.5k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (33 papers), Chronic Myeloid Leukemia Treatments (21 papers), Acute Myeloid Leukemia Research (15 papers), Mesenchymal stem cell research (13 papers), Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (10 papers), Eosinophilic Disorders and Syndromes (9 papers) and Advanced biosensing and bioanalysis techniques (9 papers). The work is most often cited by research in Genetics (667 citations), Hematology (519 citations), Cancer Research (495 citations), Oncology (836 citations) and Immunology (636 citations). Xiaoli Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ronald Hoffman, Jun Ren, Xinna Zhou, Min Lü, H. Kim Lyerly, Yijun Luo, Chi Li, Mingjiang Xu, Guolong Pan and Furong Shi. Their work appears in journals such as Blood, Medicine, Stem Cells, Scientific Reports and Experimental Hematology.
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.