Yi Su
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
-
- CAR-T cell therapy research
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 5
- Immunology 10
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 4
- Co-authors
- Yecheng Li (2 shared papers)Hai Yi (8 shared papers)Yupo Ma (1 shared paper)Fang Liu (1 shared paper)Yi-song Xiong (3 shared papers)Kevin G. Pinz (1 shared paper)Yu Ma (1 shared paper)Jiaqi Shen (1 shared paper)
- Journals
- Blood (3 papers)European Journal of Medicinal Chemistry (2 papers)Frontiers in Immunology (2 papers)Leukemia Research (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yi Su
27 papers receiving 459 citations
Peers
Comparison fields: 5 of 60
- Hematology 116
- Oncology 189
- Immunology 70
- Toxicology 10
- Molecular Biology 194
Countries citing papers authored by Yi Su
This map shows the geographic impact of Yi 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 Yi Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Su more than expected).
Fields of papers citing papers by Yi Su
This network shows the impact of papers produced by Yi 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 Yi Su. The network helps show where Yi Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 107 | |
| 2 | 2016 | 60 | |
| 3 | 2015 | 42 | |
| 4 | 2019 | 31 | |
| 5 | 2011 | 28 | |
| 6 | 2020 | 25 | |
| 7 | 2014 | 21 | |
| 8 | 2018 | 18 | |
| 9 | 2018 | 18 | |
| 10 | 2012 | 17 | |
| 11 | 2012 | 17 | |
| 12 | 2018 | 11 | |
| 13 | 2013 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2018 | 9 | |
| 16 | 2017 | 9 | |
| 17 | 2012 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2024 | 3 |
About Yi Su
Yi Su is a scholar working on Molecular Biology, Immunology, Oncology, Hematology and Organic Chemistry, having authored 29 papers that have together received 462 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Immune Cell Function and Interaction (6 papers), Quinazolinone synthesis and applications (5 papers), Lymphoma Diagnosis and Treatment (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), CAR-T cell therapy research (4 papers), T-cell and B-cell Immunology (4 papers) and Synthesis and Biological Evaluation (3 papers). The work is most often cited by research in Hematology (116 citations), Oncology (189 citations), Immunology (70 citations), Toxicology (10 citations) and Molecular Biology (194 citations). Yi Su has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yecheng Li, Hai Yi, Yupo Ma, Fang Liu, Yi-song Xiong, Kevin G. Pinz, Yu Ma, Jiaqi Shen, Jian Ding and M. Wada. Their work appears in journals such as Blood, European Journal of Medicinal Chemistry, Frontiers in Immunology, Leukemia Research and Molecular Cancer Therapeutics.
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.