Xia Mao
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Hematology top 5%
- Multiple Myeloma Research and Treatments
Papers in
- Oncology 29
- CAR-T cell therapy research 21
- Hematology 24
- Multiple Myeloma Research and Treatments 11
- Acute Myeloid Leukemia Research 8
- Hematopoietic Stem Cell Transplantation 5
- Co-authors
- Jianfeng Zhou (26 shared papers)Jue Wang (9 shared papers)Chunrui Li (9 shared papers)Liting Chen (12 shared papers)Xiaoxi Zhou (10 shared papers)Min Xiao (20 shared papers)Liang Huang (12 shared papers)Yicheng Zhang (10 shared papers)
- Journals
- Blood (6 papers)Journal for ImmunoTherapy of Cancer (4 papers)Frontiers in Immunology (3 papers)Frontiers in Oncology (3 papers)Cytotherapy (2 papers)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Xia Mao
60 papers receiving 770 citations
Peers
Comparison fields: 5 of 62
- Oncology 497
- Hematology 169
- Immunology 154
- Pathology and Forensic Medicine 70
- Genetics 42
Countries citing papers authored by Xia Mao
This map shows the geographic impact of Xia Mao'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 Xia Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Mao more than expected).
Fields of papers citing papers by Xia Mao
This network shows the impact of papers produced by Xia Mao. 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 Xia Mao. The network helps show where Xia Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia Mao, 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 | 2021 | 145 | |
| 2 | 2019 | 54 | |
| 3 | 2019 | 48 | |
| 4 | 2018 | 42 | |
| 5 | 2018 | 34 | |
| 6 | 2015 | 32 | |
| 7 | 2020 | 31 | |
| 8 | 2016 | 28 | |
| 9 | 2019 | 26 | |
| 10 | 2023 | 24 | |
| 11 | 2019 | 21 | |
| 12 | 2020 | 20 | |
| 13 | 2020 | 17 | |
| 14 | 2019 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 2019 | 16 | |
| 17 | 2021 | 16 | |
| 18 | 2022 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2014 | 12 |
About Xia Mao
Xia Mao is a scholar working on Oncology, Hematology, Immunology, Molecular Biology and Pathology and Forensic Medicine, having authored 64 papers that have together received 777 indexed citations. Recurring topics across this work include CAR-T cell therapy research (21 papers), Multiple Myeloma Research and Treatments (11 papers), Lymphoma Diagnosis and Treatment (10 papers), Acute Myeloid Leukemia Research (8 papers), Immune Cell Function and Interaction (7 papers), Acute Lymphoblastic Leukemia research (6 papers), Hematopoietic Stem Cell Transplantation (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Oncology (497 citations), Hematology (169 citations), Immunology (154 citations), Pathology and Forensic Medicine (70 citations) and Genetics (42 citations). Xia Mao has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Jianfeng Zhou, Jue Wang, Chunrui Li, Liting Chen, Xiaoxi Zhou, Min Xiao, Liang Huang, Yicheng Zhang, Lijun Jiang and Guang Hu. Their work appears in journals such as Blood, Journal for ImmunoTherapy of Cancer, Frontiers in Immunology, Frontiers in Oncology and Cytotherapy.
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.