Baolin Wu
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments 15
- Biological Psychiatry top 5%
- Molecular Biology top 5%
- Gene expression and cancer classification 22
- Bioinformatics and Genomic Networks 18
- Glycosylation and Glycoproteins Research 11
- Metabolomics and Mass Spectrometry Studies 9
- Spectroscopy top 5%
- Hematology top 5%
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- Genetic Associations and Epidemiology 17
- Genetic Mapping and Diversity in Plants and Animals 10
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- Carbohydrate Chemistry and Synthesis 14
- Co-authors
- Hongyu ZhaoDavid CrichKenneth R. WilliamsKathryn L. StoneWalter J. McMurrayGil MorTom AbbottDavid C. Ward
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Baolin Wu
134 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 177
- Transplantation 202
- Biological Psychiatry 82
- Molecular Biology 2.0k
- Spectroscopy 275
- Hematology 176
Countries citing papers authored by Baolin Wu
This map shows the geographic impact of Baolin Wu'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 Baolin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baolin Wu more than expected).
Fields of papers citing papers by Baolin Wu
This network shows the impact of papers produced by Baolin Wu. 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 Baolin Wu. The network helps show where Baolin Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Baolin Wu, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 6 | |
| 11 | Circular RNA hsa_circRNA_102958 promotes tumorigenesis of colorectal cancer via miR-585/CDC25B axis | 2019 | 3 |
| 12 | 2019 | 14 | |
| 13 | 2018 | 21 | |
| 14 | 2018 | 8 | |
| 15 | 2013 | 127 | |
| 16 | 2012 | 1 | |
| 17 | 2010 | 81 | |
| 18 | Nonparametric estimator of false discovery rate based on Bernšteǐn polynomials | 2008 | 11 |
| 19 | 2005 | 4 | |
| 20 | 2004 | 33 |
About Baolin Wu
Baolin Wu is a scholar working on Transplantation, Molecular Biology, Genetics, Biological Psychiatry and Organic Chemistry, having authored 141 papers that have together received 3.8k indexed citations. Recurring topics across this work include Gene expression and cancer classification (22 papers), Bioinformatics and Genomic Networks (18 papers), Genetic Associations and Epidemiology (17 papers), Renal Transplantation Outcomes and Treatments (15 papers), Carbohydrate Chemistry and Synthesis (14 papers), Glycosylation and Glycoproteins Research (11 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). The work is most often cited by research in Transplantation (202 citations), Biological Psychiatry (82 citations), Molecular Biology (2.0k citations), Spectroscopy (275 citations) and Hematology (176 citations). Baolin Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Hongyu Zhao, David Crich, Kenneth R. Williams, Kathryn L. Stone, Walter J. McMurray, Gil Mor, Tom Abbott, David C. Ward, David A. Fishman and Peng George Wang. Their work appears in journals such as Bioinformatics, Biometrics, Genetic Epidemiology, Annals of Human Genetics and Clinical Transplantation.
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.