Haiyan Xing
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Oncology top 5%
- CAR-T cell therapy research
Papers in
- Oncology 35
- CAR-T cell therapy research 23
- Cancer-related Molecular Pathways 7
- Co-authors
- Qing Rao (71 shared papers)Jianxiang Wang (67 shared papers)Min Wang (50 shared papers)Tian Zheng (51 shared papers)Kejing Tang (51 shared papers)Yingxi Xu (36 shared papers)Saisai Li (10 shared papers)Ying Wang (7 shared papers)
- Journals
- Blood (6 papers)Leukemia Research (5 papers)Biochemical and Biophysical Research Communications (5 papers)Oncotarget (4 papers)Human Gene Therapy (3 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Haiyan Xing
78 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 75
- Hematology 323
- Oncology 626
- Immunology 380
- Molecular Biology 591
- Cancer Research 105
Countries citing papers authored by Haiyan Xing
This map shows the geographic impact of Haiyan Xing'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 Haiyan Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyan Xing more than expected).
Fields of papers citing papers by Haiyan Xing
This network shows the impact of papers produced by Haiyan Xing. 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 Haiyan Xing. The network helps show where Haiyan Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiyan Xing, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 146 | |
| 2 | 2018 | 92 | |
| 3 | 2018 | 61 | |
| 4 | 2014 | 56 | |
| 5 | 2009 | 40 | |
| 6 | 2021 | 39 | |
| 7 | 2014 | 37 | |
| 8 | 2020 | 36 | |
| 9 | 2013 | 35 | |
| 10 | 2020 | 33 | |
| 11 | 2009 | 32 | |
| 12 | 2016 | 29 | |
| 13 | 2021 | 27 | |
| 14 | 2012 | 26 | |
| 15 | 2014 | 24 | |
| 16 | 2020 | 24 | |
| 17 | 2021 | 23 | |
| 18 | 2022 | 23 | |
| 19 | 2014 | 23 | |
| 20 | 2014 | 23 |
About Haiyan Xing
Haiyan Xing is a scholar working on Molecular Biology, Oncology, Hematology, Immunology and Genetics, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (28 papers), CAR-T cell therapy research (23 papers), Immune Cell Function and Interaction (15 papers), Virus-based gene therapy research (8 papers), Acute Lymphoblastic Leukemia research (8 papers), Hematopoietic Stem Cell Transplantation (8 papers), Chronic Myeloid Leukemia Treatments (8 papers) and Cancer-related Molecular Pathways (7 papers). The work is most often cited by research in Hematology (323 citations), Oncology (626 citations), Immunology (380 citations), Molecular Biology (591 citations) and Cancer Research (105 citations). Haiyan Xing has collaborated with scholars based in China and United States. Frequent co-authors include Qing Rao, Jianxiang Wang, Min Wang, Tian Zheng, Kejing Tang, Yingxi Xu, Saisai Li, Ying Wang, Jia Liu and Yingchang Mi. Their work appears in journals such as Blood, Leukemia Research, Biochemical and Biophysical Research Communications, Oncotarget and Human Gene Therapy.
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.