Wanling Sun
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Iron Metabolism and Disorders
-
- Mesenchymal stem cell research
Papers in
- Hematology 17
- Hematopoietic Stem Cell Transplantation 5
- Acute Myeloid Leukemia Research 5
- Neurology 11
- CNS Lymphoma Diagnosis and Treatment 7
- Peripheral Neuropathies and Disorders 4
- Co-authors
- Dongmei Zou (10 shared papers)Neal S. Young (4 shared papers)Jichun Chen (4 shared papers)Xingmin Feng (5 shared papers)Zhijie Wu (3 shared papers)Congyan Liu (4 shared papers)Keyvan Keyvanfar (2 shared papers)Pawel Muranski (1 shared paper)
- Journals
- Blood (4 papers)Frontiers in Oncology (2 papers)Nature Aging (2 papers)Annals of Hematology (2 papers)International Journal of Hematology (2 papers)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Wanling Sun
34 papers receiving 288 citations
Peers
Comparison fields: 5 of 53
- Hematology 113
- Genetics 47
- Immunology 73
- Pathology and Forensic Medicine 26
- Developmental Neuroscience 6
Countries citing papers authored by Wanling Sun
This map shows the geographic impact of Wanling Sun'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 Wanling Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanling Sun more than expected).
Fields of papers citing papers by Wanling Sun
This network shows the impact of papers produced by Wanling Sun. 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 Wanling Sun. The network helps show where Wanling Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanling Sun, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 52 | |
| 2 | 2017 | 49 | |
| 3 | 2017 | 41 | |
| 4 | 2010 | 31 | |
| 5 | 2024 | 21 | |
| 6 | 2009 | 20 | |
| 7 | 2018 | 10 | |
| 8 | 2020 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2021 | 6 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2017 | 3 | |
| 16 | 2015 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2020 | 2 |
About Wanling Sun
Wanling Sun is a scholar working on Hematology, Neurology, Genetics, Molecular Biology and Immunology, having authored 42 papers that have together received 290 indexed citations. Recurring topics across this work include CNS Lymphoma Diagnosis and Treatment (7 papers), Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Immune Cell Function and Interaction (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Peripheral Neuropathies and Disorders (4 papers). The work is most often cited by research in Hematology (113 citations), Genetics (47 citations), Immunology (73 citations), Pathology and Forensic Medicine (26 citations) and Developmental Neuroscience (6 citations). Wanling Sun has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Dongmei Zou, Neal S. Young, Jichun Chen, Xingmin Feng, Zhijie Wu, Congyan Liu, Keyvan Keyvanfar, Pawel Muranski, Marie J. Desierto and Daniela Malide. Their work appears in journals such as Blood, Frontiers in Oncology, Nature Aging, Annals of Hematology and International Journal of 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.