Xianbin Su
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
-
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 6
- Genomics and Chromatin Dynamics 3
- vaccines and immunoinformatics approaches 3
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- Cancer Genomics and Diagnostics 5
- Co-authors
- Ze‐Guang Han (15 shared papers)Jean Yang (4 shared papers)Yi Shi (17 shared papers)Shila Ghazanfar (3 shared papers)Yingxin Lin (3 shared papers)Jimmy S. H. Tsang (5 shared papers)Kunyan He (7 shared papers)Pengyi Yang (1 shared paper)
- Journals
- BMC Genomics (3 papers)BMC Microbiology (2 papers)Drug Testing and Analysis (2 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xianbin Su
34 papers receiving 534 citations
Peers
Comparison fields: 5 of 89
- Biophysics 46
- Cancer Research 89
- Molecular Biology 349
- Hepatology 33
- Hematology 44
Countries citing papers authored by Xianbin Su
This map shows the geographic impact of Xianbin 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 Xianbin Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianbin Su more than expected).
Fields of papers citing papers by Xianbin Su
This network shows the impact of papers produced by Xianbin 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 Xianbin Su. The network helps show where Xianbin Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Xianbin 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 110 | |
| 2 | 2017 | 55 | |
| 3 | 2017 | 54 | |
| 4 | 2020 | 43 | |
| 5 | 2018 | 26 | |
| 6 | 2023 | 22 | |
| 7 | 2020 | 21 | |
| 8 | 2009 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2016 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2012 | 12 | |
| 14 | 2013 | 12 | |
| 15 | 2025 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2009 | 9 | |
| 20 | 2021 | 9 |
About Xianbin Su
Xianbin Su is a scholar working on Molecular Biology, Cancer Research, Pollution, Immunology and Epidemiology, having authored 37 papers that have together received 539 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Cancer Genomics and Diagnostics (5 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers), Microbial Fuel Cells and Bioremediation (3 papers), Water Treatment and Disinfection (3 papers), Genomics and Chromatin Dynamics (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Biophysics (46 citations), Cancer Research (89 citations), Molecular Biology (349 citations), Hepatology (33 citations) and Hematology (44 citations). Xianbin Su has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Ze‐Guang Han, Jean Yang, Yi Shi, Shila Ghazanfar, Yingxin Lin, Jimmy S. H. Tsang, Kunyan He, Pengyi Yang, John T. Ormerod and Kevin Wang. Their work appears in journals such as BMC Genomics, BMC Microbiology, Drug Testing and Analysis, Biochimica et Biophysica Acta (BBA) - Biomembranes and Proceedings of the National Academy of Sciences.
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.