Leiming Xia
Impact in
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- Computational Drug Discovery Methods
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- Platelet Disorders and Treatments
Papers in
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- RNA Interference and Gene Delivery 2
- Protein Structure and Dynamics 2
- Oncology 8
- CAR-T cell therapy research 6
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Zhen Li (4 shared papers)Yangyi Bao (7 shared papers)Lei Xu (1 shared paper)Qingsheng Li (5 shared papers)Kan Chen (2 shared papers)Fan Yang (2 shared papers)Linjie Zhang (2 shared papers)Qiao Li (3 shared papers)
- Journals
- Cancer Cell International (3 papers)Heliyon (2 papers)Mini-Reviews in Medicinal Chemistry (2 papers)Current Gene Therapy (1 paper)Blood (1 paper)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Leiming Xia
34 papers receiving 341 citations
Peers
Comparison fields: 5 of 71
- Computational Theory and Mathematics 79
- Hematology 42
- Oncology 78
- Immunology 63
- Cancer Research 41
Countries citing papers authored by Leiming Xia
This map shows the geographic impact of Leiming Xia'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 Leiming Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leiming Xia more than expected).
Fields of papers citing papers by Leiming Xia
This network shows the impact of papers produced by Leiming Xia. 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 Leiming Xia. The network helps show where Leiming Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Leiming Xia, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 30 | |
| 2 | 2016 | 28 | |
| 3 | 2023 | 27 | |
| 4 | 2023 | 26 | |
| 5 | 2019 | 26 | |
| 6 | 2023 | 24 | |
| 7 | 2017 | 20 | |
| 8 | 2019 | 19 | |
| 9 | 2014 | 16 | |
| 10 | 2015 | 14 | |
| 11 | 2016 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2015 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2017 | 4 |
About Leiming Xia
Leiming Xia is a scholar working on Molecular Biology, Oncology, Immunology, Hematology and Computational Theory and Mathematics, having authored 34 papers that have together received 348 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Computational Drug Discovery Methods (5 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), Machine Learning in Materials Science (3 papers), RNA Interference and Gene Delivery (2 papers), Protein Structure and Dynamics (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Computational Theory and Mathematics (79 citations), Hematology (42 citations), Oncology (78 citations), Immunology (63 citations) and Cancer Research (41 citations). Leiming Xia has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Zhen Li, Yangyi Bao, Lei Xu, Lei Xu, Qingsheng Li, Lei Xu, Kan Chen, Fan Yang, Linjie Zhang and Qiao Li. Their work appears in journals such as Cancer Cell International, Heliyon, Mini-Reviews in Medicinal Chemistry, Current Gene Therapy and Blood.
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.