Yali Ding
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
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- Chronic Lymphocytic Leukemia Research
Papers in
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- Acute Lymphoblastic Leukemia research 18
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- Biochemical and Molecular Research 3
- Epigenetics and DNA Methylation 2
- Co-authors
- Chandrika Gowda (17 shared papers)Sinisa Dovat (16 shared papers)Chunhua Song (17 shared papers)Jonathon L. Payne (10 shared papers)Malika Kapadia (4 shared papers)Kimberly J. Payne (7 shared papers)Bi-Hua Tan (3 shared papers)Zheng Ge (5 shared papers)
- Journals
- Advances in Biological Regulation (4 papers)Blood (3 papers)International Journal of Molecular Sciences (3 papers)The FASEB Journal (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Yali Ding
29 papers receiving 404 citations
Peers
Comparison fields: 5 of 62
- Hematology 132
- Genetics 61
- Public Health, Environmental and Occupational Health 132
- Molecular Biology 230
- Oncology 65
Countries citing papers authored by Yali Ding
This map shows the geographic impact of Yali Ding'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 Yali Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yali Ding more than expected).
Fields of papers citing papers by Yali Ding
This network shows the impact of papers produced by Yali Ding. 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 Yali Ding. The network helps show where Yali Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Yali Ding, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 81 | |
| 2 | 2015 | 50 | |
| 3 | 2016 | 42 | |
| 4 | 2016 | 32 | |
| 5 | 2019 | 30 | |
| 6 | 2014 | 27 | |
| 7 | 2017 | 22 | |
| 8 | 2019 | 17 | |
| 9 | 2022 | 15 | |
| 10 | 2021 | 12 | |
| 11 | 2016 | 12 | |
| 12 | 2016 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2024 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2020 | 3 |
About Yali Ding
Yali Ding is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Hematology, Epidemiology and Pediatrics, Perinatology and Child Health, having authored 33 papers that have together received 405 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (18 papers), Acute Myeloid Leukemia Research (9 papers), Chronic Myeloid Leukemia Treatments (8 papers), Childhood Cancer Survivors' Quality of Life (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Biochemical and Molecular Research (3 papers), Hepatitis B Virus Studies (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Hematology (132 citations), Genetics (61 citations), Public Health, Environmental and Occupational Health (132 citations), Molecular Biology (230 citations) and Oncology (65 citations). Yali Ding has collaborated with scholars based in United States and China. Frequent co-authors include Chandrika Gowda, Sinisa Dovat, Chunhua Song, Jonathon L. Payne, Malika Kapadia, Kimberly J. Payne, Bi-Hua Tan, Zheng Ge, Dhimant Desai and Xiaokang Pan. Their work appears in journals such as Advances in Biological Regulation, Blood, International Journal of Molecular Sciences, The FASEB Journal and Cancer 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.