Baolin Wu

5.3k citations
141 papers · 3.8k · h-index 32

Impact in

Papers in

    • Gene expression and cancer classification 22
    • Bioinformatics and Genomic Networks 18
    • Glycosylation and Glycoproteins Research 11
    • Metabolomics and Mass Spectrometry Studies 9
    • Genetic Associations and Epidemiology 17
    • Genetic Mapping and Diversity in Plants and Animals 10

Baolin Wu

134 papers receiving 3.7k citations

Peers

Baolin Wu
Comparison fields: 5 of 177
  • Transplantation 202
  • Biological Psychiatry 82
  • Molecular Biology 2.0k
  • Spectroscopy 275
  • Hematology 176
Replace R. William G. Watson with:
R. William G. Watson Ireland
Michael Liebman United States
Volker M. Lauschke Sweden
Purvesh Khatri United States
Wenzhong Xiao United States
Andrew D. Wells United States
Jun J. Yang United States
Ali Torkamani United States
George P. Patrinos Greece
Antonia Vlahou Greece
Baolin Wu relative to R. William G. Watson Ireland R. William G. Watson's profile →
Citations per field
00.5×3.9×
R. William G. Watson · 1×
Citations per year

Countries citing papers authored by Baolin Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Baolin Wu Line = papers co-authored together Baolin Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003348
2 2008251
3 2011168
4 2008155
5 2013127
6 2004122
7 2004120
8 2003119
9 2008119
10 2015111
11 201084
12 202083
13 200883
14 201081
15 200681
16 200866
17 200861
18 201156
19 200550
20 200945

About Baolin Wu

Baolin Wu is a scholar working on Molecular Biology, Genetics, Organic Chemistry, Transplantation and Surgery, 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, Walter J. McMurray, Kathryn L. Stone, David C. Ward, Tom Abbott, Gil Mor, 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.

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