Yali Ding
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
-
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Acute Lymphoblastic Leukemia research 19
- Hematology 14
- Acute Myeloid Leukemia Research 10
- Chronic Myeloid Leukemia Treatments 8
- Co-authors
- Sinisa Dovat (18 shared papers)Chandrika Gowda (19 shared papers)Chunhua Song (18 shared papers)Malika Kapadia (4 shared papers)Jonathon L. Payne (11 shared papers)Kimberly J. Payne (9 shared papers)Bi-Hua Tan (3 shared papers)Zheng Ge (5 shared papers)
- Journals
- Blood (4 papers)Advances in Biological Regulation (4 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
30 papers receiving 421 citations
Peers
Comparison fields: 5 of 63
- Hematology 124
- Genetics 57
- Public Health, Environmental and Occupational Health 131
- Molecular Biology 222
- 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 81 | |
| 2 | 2015 | 50 | |
| 3 | 2016 | 46 | |
| 4 | 2016 | 34 | |
| 5 | 2019 | 30 | |
| 6 | 2014 | 28 | |
| 7 | 2017 | 22 | |
| 8 | 2019 | 17 | |
| 9 | 2022 | 17 | |
| 10 | 2016 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2016 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2024 | 6 | |
| 17 | 2016 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2022 | 3 |
About Yali Ding
Yali Ding is a scholar working on Public Health, Environmental and Occupational Health, Hematology, Molecular Biology, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 36 papers that have together received 423 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (19 papers), Acute Myeloid Leukemia Research (10 papers), Chronic Myeloid Leukemia Treatments (8 papers), Childhood Cancer Survivors' Quality of Life (6 papers), Chronic Lymphocytic Leukemia Research (3 papers), Biochemical and Molecular Research (3 papers), Adenosine and Purinergic Signaling (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Hematology (124 citations), Genetics (57 citations), Public Health, Environmental and Occupational Health (131 citations), Molecular Biology (222 citations) and Oncology (65 citations). Yali Ding has collaborated with scholars based in United States and China. Frequent co-authors include Sinisa Dovat, Chandrika Gowda, Chunhua Song, Malika Kapadia, Jonathon L. Payne, Kimberly J. Payne, Bi-Hua Tan, Zheng Ge, Dhimant Desai and Pavan Kumar Dhanyamraju. Their work appears in journals such as Blood, Advances in Biological Regulation, 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.