Baolin Wu
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Biological Psychiatry top 5%
Papers in
-
- Renal Transplantation Outcomes and Treatments 11
- Pharmacology 11
- Pharmacogenetics and Drug Metabolism 11
- Co-authors
- Hongyu Zhao (19 shared papers)Kenneth R. Williams (8 shared papers)David Crich (4 shared papers)Walter J. McMurray (4 shared papers)Kathryn L. Stone (4 shared papers)David A. Fishman (3 shared papers)Peng George Wang (11 shared papers)David C. Ward (3 shared papers)
- Journals
- Bioinformatics (7 papers)Biometrics (5 papers)Genetic Epidemiology (5 papers)PLoS ONE (3 papers)Annals of Human Genetics (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Baolin Wu
145 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 163
- Transplantation 194
- Biological Psychiatry 59
- Spectroscopy 325
- Molecular Biology 1.2k
- Pharmacology 182
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-authors
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
Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 385 | |
| 2 | 2008 | 274 | |
| 3 | 2008 | 182 | |
| 4 | 2011 | 170 | |
| 5 | 2013 | 138 | |
| 6 | 2004 | 129 | |
| 7 | 2003 | 128 | |
| 8 | 2004 | 128 | |
| 9 | 2015 | 126 | |
| 10 | 2008 | 120 | |
| 11 | 2020 | 103 | |
| 12 | 2010 | 95 | |
| 13 | 2008 | 91 | |
| 14 | 2008 | 87 | |
| 15 | 2010 | 83 | |
| 16 | 2006 | 81 | |
| 17 | 2011 | 65 | |
| 18 | 2008 | 64 | |
| 19 | 2005 | 52 | |
| 20 | 2015 | 50 |
About Baolin Wu
Baolin Wu is a scholar working on Transplantation, Pharmacology, Genetics, Molecular Biology and Spectroscopy, having authored 152 papers that have together received 4.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (21 papers), Genetic Associations and Epidemiology (18 papers), Advanced Proteomics Techniques and Applications (13 papers), Carbohydrate Chemistry and Synthesis (13 papers), Pharmacogenetics and Drug Metabolism (11 papers), Renal Transplantation Outcomes and Treatments (11 papers), Semantic Web and Ontologies (9 papers) and Mass Spectrometry Techniques and Applications (7 papers). The work is most often cited by research in Transplantation (194 citations), Biological Psychiatry (59 citations), Spectroscopy (325 citations), Molecular Biology (1.2k citations) and Pharmacology (182 citations). Baolin Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Hongyu Zhao, Kenneth R. Williams, David Crich, Walter J. McMurray, Kathryn L. Stone, David A. Fishman, Peng George Wang, David C. Ward, Gil Mor and James S. Pankow. Their work appears in journals such as Bioinformatics, Biometrics, Genetic Epidemiology, PLoS ONE and Annals of Human Genetics.
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.