Yan Su
Impact in
- Neurology top 10%
- Neuroblastoma Research and Treatments
- Hematology top 10%
- Hemophilia Treatment and Research
- Blood Coagulation and Thrombosis Mechanisms
Papers in
- Co-authors
- Runhui Wu (4 shared papers)Xiaoli Ma (23 shared papers)Zhen Xing (8 shared papers)Dairong Cao (7 shared papers)Junting Zhang (1 shared paper)Xinyi Wu (1 shared paper)K. H. Luke (1 shared paper)M.‐C. Poon (1 shared paper)
- Journals
- Cancer Medicine (3 papers)BMC Pediatrics (2 papers)Clinical Radiology (2 papers)Medicine (2 papers)Acta Radiologica (2 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Yan Su
59 papers receiving 696 citations
Yan Su's Hit Papers
Peers
Comparison fields: 5 of 77
- Neurology 172
- Hematology 118
- Genetics 98
- Cancer Research 92
- Oncology 86
Countries citing papers authored by Yan Su
This map shows the geographic impact of Yan Su'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 Yan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Su more than expected).
Fields of papers citing papers by Yan Su
This network shows the impact of papers produced by Yan Su. 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 Yan Su. The network helps show where Yan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Su, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Socioeconomic inequalities in cancer incidence and access to health services among children and adolescents in China: a cross-sectional study Hit paper breakdown → | 2022 | 141 |
| 2 | 2010 | 91 | |
| 3 | 2023 | 37 | |
| 4 | 2018 | 36 | |
| 5 | 2020 | 28 | |
| 6 | 2021 | 22 | |
| 7 | 2020 | 22 | |
| 8 | 2022 | 21 | |
| 9 | 2023 | 20 | |
| 10 | 2020 | 20 | |
| 11 | 2014 | 16 | |
| 12 | 2019 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2023 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2024 | 12 | |
| 17 | 2019 | 11 | |
| 18 | 2008 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2018 | 9 |
About Yan Su
Yan Su is a scholar working on Neurology, Genetics, Hematology, Oncology and Cancer Research, having authored 64 papers that have together received 702 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (19 papers), Glioma Diagnosis and Treatment (7 papers), Lung Cancer Research Studies (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Immune Cell Function and Interaction (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Congenital Diaphragmatic Hernia Studies (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Neurology (172 citations), Hematology (118 citations), Genetics (98 citations), Cancer Research (92 citations) and Oncology (86 citations). Yan Su has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Runhui Wu, Xiaoli Ma, Zhen Xing, Dairong Cao, Junting Zhang, Xinyi Wu, K. H. Luke, M.‐C. Poon, Na Zhang and Yu Lin. Their work appears in journals such as Cancer Medicine, BMC Pediatrics, Clinical Radiology, Medicine and Acta Radiologica.
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.