Zaolin Wang

558 total citations
10 papers, 424 citations indexed

About

Zaolin Wang is a scholar working on Molecular Biology, Epidemiology and Environmental Chemistry. According to data from OpenAlex, Zaolin Wang has authored 10 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Environmental Chemistry. Recurrent topics in Zaolin Wang's work include Arsenic contamination and mitigation (3 papers), Mast cells and histamine (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Zaolin Wang is often cited by papers focused on Arsenic contamination and mitigation (3 papers), Mast cells and histamine (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Zaolin Wang collaborates with scholars based in United States. Zaolin Wang's co-authors include Babetta L. Marrone, Toby G. Rossman, Paul S. White, Lee S. Newman, Lisa A. Maier, Owatha L. Tatum, Alina Deshpande, David C. Torney, John P. Nolan and Barry P. Rosen and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and Environmental Health Perspectives.

In The Last Decade

Zaolin Wang

10 papers receiving 403 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zaolin Wang United States 8 199 121 88 59 57 10 424
Jun-Ho Jang United States 11 264 1.3× 28 0.2× 55 0.6× 38 0.6× 177 3.1× 14 472
Syed A. Aziz Canada 13 82 0.4× 18 0.1× 47 0.5× 50 0.8× 41 0.7× 33 450
Andreas Kamyschnikow Germany 9 117 0.6× 49 0.4× 45 0.5× 92 1.6× 11 0.2× 13 490
Jianliang Xu China 12 212 1.1× 23 0.2× 35 0.4× 57 1.0× 31 0.5× 22 442
Shashi Chillappagari Germany 13 217 1.1× 22 0.2× 65 0.7× 190 3.2× 13 0.2× 21 581
Mercédès Quintana France 15 247 1.2× 79 0.7× 22 0.3× 47 0.8× 4 0.1× 26 637
M.S. Razzaque United States 7 110 0.6× 34 0.3× 25 0.3× 61 1.0× 8 0.1× 9 389
Tianyi Dong China 13 204 1.0× 15 0.1× 21 0.2× 35 0.6× 47 0.8× 45 433
Hiroto Imai Japan 11 99 0.5× 32 0.3× 19 0.2× 33 0.6× 32 0.6× 24 312

Countries citing papers authored by Zaolin Wang

Since Specialization
Citations

This map shows the geographic impact of Zaolin Wang'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 Zaolin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zaolin Wang more than expected).

Fields of papers citing papers by Zaolin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zaolin Wang. 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 Zaolin Wang. The network helps show where Zaolin Wang may publish in the future.

Co-authorship network of co-authors of Zaolin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zaolin Wang. A scholar is included among the top collaborators of Zaolin Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zaolin Wang. Zaolin Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Wang, Zaolin, et al.. (2006). Proteomic analysis of beryllium‐induced genotoxicity in an Escherichia coli mutant model system. PROTEOMICS. 6(5). 1663–1675. 5 indexed citations
2.
Scott, Brian L., Zaolin Wang, Babetta L. Marrone, & Nancy N. Sauer. (2003). Potential binding modes of beryllium with the class II major histocompatibility complex HLA-DP: a combined theoretical and structural database study. Journal of Inorganic Biochemistry. 94(1-2). 5–13. 34 indexed citations
3.
Wang, Zaolin, Georgia M. Farris, Lee S. Newman, et al.. (2001). Beryllium sensitivity is linked to HLA-DP genotype. Toxicology. 165(1). 27–38. 59 indexed citations
4.
Cai, Hong, Paul S. White, David C. Torney, et al.. (2000). Flow Cytometry-Based Minisequencing: A New Platform for High-Throughput Single-Nucleotide Polymorphism Scoring. Genomics. 66(2). 135–143. 93 indexed citations
5.
Torney, David C., et al.. (2000). Flow Cytometry-Based Minisequencing: A New Platform for High-Throughput Single-Nucleotide Polymorphism Scoring. Genomics. 69(3). 395–395. 10 indexed citations
6.
Wang, Zaolin, Paul S. White, Owatha L. Tatum, et al.. (1999). Differential Susceptibilities to Chronic Beryllium Disease Contributed by Different Glu69 HLA-DPB1 and -DPA1 Alleles. The Journal of Immunology. 163(3). 1647–1653. 114 indexed citations
7.
Rossman, Toby G., et al.. (1997). Human cells lack the inducible tolerance to arsenite seen in hamster cells. Mutation Research/Reviews in Mutation Research. 386(3). 307–314. 25 indexed citations
8.
Wang, Zaolin, Saibal Dey, Barry P. Rosen, & Toby G. Rossman. (1996). Efflux-Mediated Resistance to Arsenicals in Arsenic-Resistant and -Hypersensitive Chinese Hamster Cells. Toxicology and Applied Pharmacology. 137(1). 112–119. 53 indexed citations
9.
Wang, Zaolin & Toby G. Rossman. (1994). Isolation of DNA fragments from agarose gel by centrifugation. Nucleic Acids Research. 22(14). 2862–2863. 29 indexed citations
10.
Wang, Zaolin, et al.. (1994). Induction of Arsenite Tolerance and Thermotolerance by Arsenite Occur by Different Mechanisms. Environmental Health Perspectives. 102. 97–97. 2 indexed citations

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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