Shunhai Wang

927 total citations
41 papers, 690 citations indexed

About

Shunhai Wang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Shunhai Wang has authored 41 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 19 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Spectroscopy. Recurrent topics in Shunhai Wang's work include Protein purification and stability (25 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and Viral Infectious Diseases and Gene Expression in Insects (10 papers). Shunhai Wang is often cited by papers focused on Protein purification and stability (25 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and Viral Infectious Diseases and Gene Expression in Insects (10 papers). Shunhai Wang collaborates with scholars based in United States and China. Shunhai Wang's co-authors include Yuetian Yan, Igor A. Kaltashov, Ning Li, Cedric E. Bobst, Thomas J. Daly, Guanbo Wang, Rinat R. Abzalimov, Thomas J. Daly, Tao Xing and Ning Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry and Advanced Drug Delivery Reviews.

In The Last Decade

Shunhai Wang

35 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shunhai Wang United States 15 430 247 223 146 101 41 690
Hideto Mori Japan 13 368 0.9× 65 0.3× 32 0.1× 85 0.6× 25 0.2× 37 568
Mariela M. Marani Argentina 14 348 0.8× 36 0.1× 107 0.5× 32 0.2× 23 0.2× 35 464
Bankala Krishnarjuna United States 15 368 0.9× 66 0.3× 43 0.2× 57 0.4× 12 0.1× 43 571
Jonathan King United States 10 641 1.5× 60 0.2× 47 0.2× 80 0.5× 7 0.1× 16 760
Alap R. Subramanian Germany 23 1.8k 4.2× 146 0.6× 81 0.4× 416 2.8× 6 0.1× 48 1.9k
Jörg A. Schenk Germany 13 330 0.8× 31 0.1× 108 0.5× 40 0.3× 12 0.1× 40 521
Matthias Berg Switzerland 8 301 0.7× 292 1.2× 44 0.2× 16 0.1× 8 0.1× 10 487
Fatma Guettou Sweden 6 495 1.2× 48 0.2× 30 0.1× 89 0.6× 9 0.1× 6 745
Jeffery M. Tharp United States 16 864 2.0× 18 0.1× 131 0.6× 126 0.9× 8 0.1× 26 949
Todd M. Billeci United States 6 886 2.1× 811 3.3× 28 0.1× 54 0.4× 12 0.1× 6 1.3k

Countries citing papers authored by Shunhai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shunhai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunhai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shunhai Wang. A scholar is included among the top collaborators of Shunhai 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 Shunhai Wang. Shunhai Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Peng, Wenjing, Cristinel Sandu, Yuetian Yan, et al.. (2025). A target affinity enrichment workflow to characterize critical post-translational modifications within therapeutic antibodies. Journal of Pharmaceutical Sciences. 114(5). 103710–103710. 1 indexed citations
4.
Tiambeng, Timothy N., et al.. (2024). Characterization of adeno-associated virus capsid proteins using denaturing size-exclusion chromatography coupled with mass spectrometry. Journal of Pharmaceutical and Biomedical Analysis. 253. 116524–116524. 4 indexed citations
5.
Li, Shuai, Shuli Tang, Yu Huang, et al.. (2024). Distinct chemical degradation pathways of AAV1 and AAV8 under thermal stress conditions revealed by analytical anion exchange chromatography and LC-MS-based peptide mapping. Journal of Pharmaceutical and Biomedical Analysis. 251. 116452–116452. 5 indexed citations
6.
Zhong, Jieqiang, Ming Huang, Haibo Qiu, et al.. (2024). Simple endoglycosidase-assisted peptide mapping workflow for characterizing non-consensus n-glycosylation in therapeutic monoclonal antibodies. Journal of Pharmaceutical Sciences. 114(2). 1125–1132. 1 indexed citations
7.
Cotham, Victoria C., Shunhai Wang, & Ning Li. (2024). An Online Native Mass Spectrometry Approach for Fast, Sensitive, and Quantitative Assessment of Adeno-Associated Virus Capsid Content Ratios. Journal of the American Society for Mass Spectrometry. 35(7). 1567–1575. 4 indexed citations
8.
Tang, Shuli, Gaoyuan Liu, Yuetian Yan, Shunhai Wang, & Ning Li. (2024). Development of a Flow Through-Based Limited Digestion Approach for High-Throughput and High-Sequence Coverage Mapping of Therapeutic mRNAs. Analytical Chemistry. 96(42). 16994–17003. 4 indexed citations
10.
Liu, Gaoyuan, Zhengqi Zhang, Yuetian Yan, Shunhai Wang, & Ning Li. (2023). Discovery and Characterization of an Acid-Labile Serine-Lysine Cross-Link in Antibody High-Molecular-Weight Species Using a Multipronged Mass Spectrometry Approach. Analytical Chemistry. 95(37). 13813–13821. 1 indexed citations
11.
Cotham, Victoria C., et al.. (2023). A generic platform to couple affinity chromatography with native mass spectrometry for the analysis of therapeutic monoclonal antibodies. Journal of Pharmaceutical and Biomedical Analysis. 228. 115337–115337. 2 indexed citations
12.
Kaltashov, Igor A., Guanbo Wang, & Shunhai Wang. (2021). Mass Spectrometry in Biopharmaceutical Analysis. 8 indexed citations
13.
Yan, Yuetian, et al.. (2020). Online coupling of analytical hydrophobic interaction chromatography with native mass spectrometry for the characterization of monoclonal antibodies and related products. Journal of Pharmaceutical and Biomedical Analysis. 186. 113313–113313. 39 indexed citations
14.
Zhou, Shujing, Xinjian Xu, Wenfeng Wang, et al.. (2019). Genetic Differentiation of Eastern Honey Bee (Apis cerana) Populations Across Qinghai-Tibet Plateau-Valley Landforms. Frontiers in Genetics. 10. 483–483. 21 indexed citations
15.
Wang, Shunhai, et al.. (2018). Characterization of product-related low molecular weight impurities in therapeutic monoclonal antibodies using hydrophilic interaction chromatography coupled with mass spectrometry. Journal of Pharmaceutical and Biomedical Analysis. 154. 468–475. 30 indexed citations
17.
Zhou, Shujing, et al.. (2017). Morphological differentiation in Asian honey bee (Apis cerana) populations in the basin and highlands of southwestern China. Journal of Apicultural Research. 56(3). 203–209. 11 indexed citations
18.
Chen, Chao, Zhiguang Liu, Shunhai Wang, et al.. (2017). Managed honeybee colony losses of the Eastern honeybee (Apis cerana) in China (2011–2014). Apidologie. 48(5). 692–702. 30 indexed citations
19.
Kaltashov, Igor A., Cedric E. Bobst, Son Nguyen, & Shunhai Wang. (2013). Emerging mass spectrometry-based approaches to probe protein–receptor interactions: Focus on overcoming physiological barriers. Advanced Drug Delivery Reviews. 65(8). 1020–1030. 7 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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