Mingxuan Xia
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- Biotechnology top 10%
- Cancer Research and Treatments
Papers in
- Oncology 6
- Cancer-related Molecular Pathways 6
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- Cancer Research and Treatments 4
- Co-authors
- Hartmut Land (1 shared paper)Lyubomir T. Vassilev (3 shared papers)Dejan Knezevic (2 shared papers)Christian Tovar (3 shared papers)Dayanand Deo (2 shared papers)Baoying Huang (2 shared papers)Lyubomir T. Vassilev (2 shared papers)David Heimbrook (2 shared papers)
- Journals
- Cell Cycle (1 paper)Nature Structural & Molecular Biology (1 paper)Neurocomputing (1 paper)Proceedings of the National Academy of Sciences (1 paper)Molecular Cancer Research (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Mingxuan Xia
12 papers receiving 500 citations
Peers
Comparison fields: 5 of 75
- Oncology 284
- Biotechnology 59
- Molecular Biology 321
- Cancer Research 63
- Cell Biology 60
Countries citing papers authored by Mingxuan Xia
This map shows the geographic impact of Mingxuan 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 Mingxuan Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxuan Xia more than expected).
Fields of papers citing papers by Mingxuan Xia
This network shows the impact of papers produced by Mingxuan 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 Mingxuan Xia. The network helps show where Mingxuan Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxuan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 188 | |
| 2 | 2007 | 94 | |
| 3 | 2008 | 61 | |
| 4 | 2009 | 56 | |
| 5 | 2010 | 55 | |
| 6 | 2011 | 36 | |
| 7 | 2021 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2025 | 0 |
About Mingxuan Xia
Mingxuan Xia is a scholar working on Oncology, Biotechnology, Molecular Biology, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 503 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Cancer Research and Treatments (4 papers), Ubiquitin and proteasome pathways (2 papers), Fluid Dynamics and Heat Transfer (1 paper), TiO2 Photocatalysis and Solar Cells (1 paper), Catalytic Processes in Materials Science (1 paper), Zeolite Catalysis and Synthesis (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Oncology (284 citations), Biotechnology (59 citations), Molecular Biology (321 citations), Cancer Research (63 citations) and Cell Biology (60 citations). Mingxuan Xia has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Hartmut Land, Lyubomir T. Vassilev, Dejan Knezevic, Christian Tovar, Dayanand Deo, Baoying Huang, Lyubomir T. Vassilev, David Heimbrook, Lin Gao and Thelma Thompson. Their work appears in journals such as Cell Cycle, Nature Structural & Molecular Biology, Neurocomputing, Proceedings of the National Academy of Sciences and Molecular Cancer Research.
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.