Zhiling Yan
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Platelet Disorders and Treatments
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
- Hematology 29
- Hematopoietic Stem Cell Transplantation 11
- Multiple Myeloma Research and Treatments 6
- Co-authors
- Kailin Xu (54 shared papers)Jiang Cao (34 shared papers)Hai Cheng (27 shared papers)Wei Sang (21 shared papers)Lichao Sun (4 shared papers)Yufeng Yao (17 shared papers)Li Shi (15 shared papers)Bin Pan (17 shared papers)
- Journals
- BMC Cancer (4 papers)Frontiers in Immunology (4 papers)Biology of Blood and Marrow Transplantation (3 papers)Cell Biochemistry and Biophysics (3 papers)Leukemia Research (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Zhiling Yan
97 papers receiving 1.3k citations
Zhiling Yan's Hit Papers
Peers
Comparison fields: 5 of 142
- Hematology 218
- Genetics 125
- Cancer Research 148
- Oncology 259
- Health Informatics 14
Countries citing papers authored by Zhiling Yan
This map shows the geographic impact of Zhiling Yan'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 Zhiling Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiling Yan more than expected).
Fields of papers citing papers by Zhiling Yan
This network shows the impact of papers produced by Zhiling Yan. 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 Zhiling Yan. The network helps show where Zhiling Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhiling Yan, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation Hit paper breakdown → | 2024 | 97 |
| 2 | 2019 | 68 | |
| 3 | A Survey of AI-Generated Content (AIGC) Hit paper breakdown → | 2024 | 66 |
| 4 | Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Hit paper breakdown → | 2024 | 66 |
| 5 | 2014 | 61 | |
| 6 | 2016 | 59 | |
| 7 | 2012 | 46 | |
| 8 | 2013 | 45 | |
| 9 | 2014 | 36 | |
| 10 | 2016 | 30 | |
| 11 | 2012 | 29 | |
| 12 | 2016 | 29 | |
| 13 | 2021 | 27 | |
| 14 | 2015 | 24 | |
| 15 | 2018 | 24 | |
| 16 | 2023 | 20 | |
| 17 | 2019 | 20 | |
| 18 | 2017 | 19 | |
| 19 | 2016 | 19 | |
| 20 | 2012 | 19 |
About Zhiling Yan
Zhiling Yan is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Cancer Research, having authored 102 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), CAR-T cell therapy research (11 papers), Cervical Cancer and HPV Research (9 papers), MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (8 papers), Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (7 papers) and Multiple Myeloma Research and Treatments (6 papers). The work is most often cited by research in Hematology (218 citations), Genetics (125 citations), Cancer Research (148 citations), Oncology (259 citations) and Health Informatics (14 citations). Zhiling Yan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Kailin Xu, Jiang Cao, Hai Cheng, Wei Sang, Lichao Sun, Yufeng Yao, Li Shi, Bin Pan, Lingyu Zeng and Chong Chen. Their work appears in journals such as BMC Cancer, Frontiers in Immunology, Biology of Blood and Marrow Transplantation, Cell Biochemistry and Biophysics and Leukemia 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.