Xiaoning Gao
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Hematology 30
- Acute Myeloid Leukemia Research 22
- Hematopoietic Stem Cell Transplantation 12
-
- RNA modifications and cancer 6
- Epigenetics and DNA Methylation 6
- Histone Deacetylase Inhibitors Research 5
- Co-authors
- Li Yu (25 shared papers)Lili Wang (12 shared papers)Ji Lin (13 shared papers)Yonghui Li (7 shared papers)Jihao Zhou (5 shared papers)Lixin Wang (5 shared papers)Li Gao (3 shared papers)Yushi Yao (4 shared papers)
- Journals
- Annals of Hematology (7 papers)PLoS ONE (4 papers)Cancer Medicine (3 papers)Frontiers in Immunology (2 papers)Oncogene (2 papers)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Xiaoning Gao
64 papers receiving 963 citations
Peers
Comparison fields: 5 of 87
- Hematology 383
- Cancer Research 231
- Immunology 209
- Molecular Biology 576
- Genetics 89
Countries citing papers authored by Xiaoning Gao
This map shows the geographic impact of Xiaoning Gao'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 Xiaoning Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoning Gao more than expected).
Fields of papers citing papers by Xiaoning Gao
This network shows the impact of papers produced by Xiaoning Gao. 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 Xiaoning Gao. The network helps show where Xiaoning Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoning Gao, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 141 | |
| 2 | 2013 | 92 | |
| 3 | 2013 | 75 | |
| 4 | 2013 | 60 | |
| 5 | 2009 | 47 | |
| 6 | 2021 | 46 | |
| 7 | 2011 | 43 | |
| 8 | 2020 | 37 | |
| 9 | 2015 | 34 | |
| 10 | 2020 | 29 | |
| 11 | 2019 | 27 | |
| 12 | 2016 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 2013 | 23 | |
| 15 | 2010 | 22 | |
| 16 | 2023 | 18 | |
| 17 | 2011 | 17 | |
| 18 | 2018 | 17 | |
| 19 | 2020 | 15 | |
| 20 | 2023 | 14 |
About Xiaoning Gao
Xiaoning Gao is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Cancer Research, having authored 69 papers that have together received 974 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), Hematopoietic Stem Cell Transplantation (12 papers), MicroRNA in disease regulation (7 papers), Immune Cell Function and Interaction (6 papers), RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Histone Deacetylase Inhibitors Research (5 papers). The work is most often cited by research in Hematology (383 citations), Cancer Research (231 citations), Immunology (209 citations), Molecular Biology (576 citations) and Genetics (89 citations). Xiaoning Gao has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Li Yu, Lili Wang, Ji Lin, Yonghui Li, Jihao Zhou, Lixin Wang, Li Gao, Yushi Yao, Mengmeng Jiang and Dai‐Hong Liu. Their work appears in journals such as Annals of Hematology, PLoS ONE, Cancer Medicine, Frontiers in Immunology and Oncogene.
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.