Bingchuan Wei

870 total citations
29 papers, 543 citations indexed

About

Bingchuan Wei is a scholar working on Molecular Biology, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, Bingchuan Wei has authored 29 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Biomedical Engineering and 11 papers in Spectroscopy. Recurrent topics in Bingchuan Wei's work include Protein purification and stability (13 papers), Analytical Chemistry and Chromatography (10 papers) and Microfluidic and Capillary Electrophoresis Applications (10 papers). Bingchuan Wei is often cited by papers focused on Protein purification and stability (13 papers), Analytical Chemistry and Chromatography (10 papers) and Microfluidic and Capillary Electrophoresis Applications (10 papers). Bingchuan Wei collaborates with scholars based in United States, France and Switzerland. Bingchuan Wei's co-authors include Mary J. Wirth, Benjamin J. Rogers, Kelly Zhang, Alexandre Goyon, Cynthia Quan, Zhen Wu, Wendy Sandoval, Guanghui Han, Jia Tang and Daniel T. Chiu and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Bingchuan Wei

28 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bingchuan Wei United States 12 316 222 222 110 43 29 543
Wonryeon Cho United States 10 442 1.4× 156 0.7× 71 0.3× 164 1.5× 13 0.3× 14 520
Márton Szigeti Hungary 16 399 1.3× 102 0.5× 250 1.1× 167 1.5× 7 0.2× 38 579
Linjie Han United States 14 431 1.4× 504 2.3× 74 0.3× 105 1.0× 65 1.5× 21 687
Jung Yeol Lee South Korea 9 185 0.6× 48 0.2× 139 0.6× 42 0.4× 103 2.4× 15 376
Joanne C. Severs United States 13 171 0.5× 360 1.6× 229 1.0× 29 0.3× 11 0.3× 23 647
Takashi Nishikaze Japan 17 536 1.7× 380 1.7× 44 0.2× 51 0.5× 27 0.6× 36 710
Aming Zhang United States 10 333 1.1× 140 0.6× 44 0.2× 143 1.3× 53 1.2× 12 479
Sadanori Sekiya Japan 14 481 1.5× 328 1.5× 36 0.2× 38 0.3× 24 0.6× 27 730
Timothy K. Toby United States 12 493 1.6× 502 2.3× 94 0.4× 23 0.2× 40 0.9× 14 847
Galina Diakova United States 10 94 0.3× 89 0.4× 78 0.4× 87 0.8× 52 1.2× 16 315

Countries citing papers authored by Bingchuan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Bingchuan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingchuan Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Bingchuan Wei. A scholar is included among the top collaborators of Bingchuan Wei 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 Bingchuan Wei. Bingchuan Wei 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.
Chin, Steven, et al.. (2025). Revealing New Analytical Insights into RNA Complexes: Divalent siRNA Characterization by Liquid Chromatography and Mass Spectrometry. Analytical Chemistry. 97(6). 3554–3562. 3 indexed citations
2.
3.
Fan, Yuchen, et al.. (2024). Online native hydrophobic interaction chromatography-mass spectrometry of antibody-drug conjugates. mAbs. 17(1). 2446304–2446304. 4 indexed citations
4.
Wei, Bingchuan, et al.. (2024). Applications of hydrophilic interaction and mixed-mode liquid chromatography in pharmaceutical analysis. Journal of Chromatography A. 1739. 465524–465524. 9 indexed citations
5.
Wei, Bingchuan, et al.. (2024). Probing the higher order structure of oligonucleotides through anion exchange chromatography. Journal of Chromatography A. 1734. 465314–465314. 7 indexed citations
6.
Wei, Bingchuan, et al.. (2023). Characterization of synthetic guide ribonucleic acids through hydrophilic interaction chromatography coupled with mass spectrometry. Journal of Chromatography A. 1710. 464414–464414. 10 indexed citations
7.
Nagapudi, Karthik, et al.. (2023). Predicting Long-Term Stability of an Oral Delivered Antibody Drug Product with Accelerated Stability Assessment Program Modeling. Molecular Pharmaceutics. 21(1). 325–332. 2 indexed citations
8.
Wei, Bingchuan, Alexandre Goyon, & Kelly Zhang. (2022). Analysis of therapeutic nucleic acids by capillary electrophoresis. Journal of Pharmaceutical and Biomedical Analysis. 219. 114928–114928. 36 indexed citations
9.
10.
Gao, Xuan, Weiru Wang, Devin B. Tesar, et al.. (2020). An Approach to Bioactivity Assessment for Critical Quality Attribute Identification Based on Antibody-Antigen Complex Structure. Journal of Pharmaceutical Sciences. 110(4). 1652–1660. 3 indexed citations
11.
Liu, Diana, et al.. (2020). Predictive In Vitro Vitreous and Serum Models and Methods to Assess Thiol-Related Quality Attributes in Protein Therapeutics. Analytical Chemistry. 92(10). 6869–6876. 6 indexed citations
12.
Wei, Bingchuan, Qian Cai, Charlene Li, et al.. (2020). Development of a rapid reversed-phase liquid chromatographic method for total free thiol quantitation in protein therapeutics. Journal of Pharmaceutical and Biomedical Analysis. 189. 113434–113434. 4 indexed citations
13.
Phung, Wilson, Guanghui Han, Michael Dillon, et al.. (2020). Data on charge separation of bispecific and mispaired IgGs using native charge-variant mass spectrometry. SHILAP Revista de lepidopterología. 30. 105435–105435. 9 indexed citations
14.
15.
Phung, Wilson, Guanghui Han, Michael Dillon, et al.. (2019). Characterization of bispecific and mispaired IgGs by native charge-variant mass spectrometry. International Journal of Mass Spectrometry. 446. 116229–116229. 12 indexed citations
16.
Wei, Bingchuan, et al.. (2017). Reversed-phase chromatography with large pore superficially porous particles for high throughput immunoglobulin G 2 disulfide isoform separation. Journal of Chromatography A. 1526. 104–111. 13 indexed citations
17.
Wei, Bingchuan, et al.. (2017). Glycation of antibodies: Modification, methods and potential effects on biological functions. mAbs. 9(4). 586–594. 79 indexed citations
18.
Zhao, Mengxia, Bingchuan Wei, & Daniel T. Chiu. (2013). Imaging multiple biomarkers in captured rare cells by sequential immunostaining and photobleaching. Methods. 64(2). 108–113. 8 indexed citations
19.
Rogers, Benjamin J., Bingchuan Wei, & Mary J. Wirth. (2012). Ultra High Efficiency Protein Separations with Submicrometer Silica Using Slip Flow.. PubMed. 30(10). 890–897. 5 indexed citations
20.
Wei, Bingchuan, Benjamin J. Rogers, & Mary J. Wirth. (2012). Slip Flow in Colloidal Crystals for Ultraefficient Chromatography. Journal of the American Chemical Society. 134(26). 10780–10782. 73 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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