Andrew Wang

931 total citations
10 papers, 698 citations indexed

About

Andrew Wang is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Andrew Wang has authored 10 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Biophysics. Recurrent topics in Andrew Wang's work include Cell Image Analysis Techniques (2 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Andrew Wang is often cited by papers focused on Cell Image Analysis Techniques (2 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Andrew Wang collaborates with scholars based in United States, France and Canada. Andrew Wang's co-authors include Masamitsu Kanada, Tobi Schmidt, Christopher H. Contag, Manish J. Butte, Jonathan Hardy, Michael H. Bachmann, Matthew D. Sylvester, Laura Bronsart, A. Matin and Roger L. Kaspar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Clinical Microbiology.

In The Last Decade

Andrew Wang

9 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Wang United States 6 459 215 129 106 74 10 698
Aruna Ramachandran United States 18 511 1.1× 84 0.4× 142 1.1× 67 0.6× 17 0.2× 23 801
Yves Y. Sere United States 10 784 1.7× 231 1.1× 240 1.9× 41 0.4× 22 0.3× 11 941
Manu Tewari United States 11 568 1.2× 190 0.9× 191 1.5× 251 2.4× 14 0.2× 24 971
André F. Maia Portugal 16 446 1.0× 88 0.4× 237 1.8× 138 1.3× 26 0.4× 29 870
Antonios Chronopoulos United Kingdom 10 503 1.1× 217 1.0× 205 1.6× 128 1.2× 10 0.1× 13 938
Małgorzata Przybyło Poland 20 709 1.5× 155 0.7× 138 1.1× 298 2.8× 22 0.3× 58 902
Premkumar Vummidi Giridhar United States 8 192 0.4× 79 0.4× 76 0.6× 106 1.0× 19 0.3× 9 634
Jennifer L. Koetsier United States 20 483 1.1× 62 0.3× 326 2.5× 85 0.8× 42 0.6× 41 986
Alexander Kvist Sweden 10 502 1.1× 39 0.2× 107 0.8× 59 0.6× 87 1.2× 15 741
Santosh Phuyal Norway 12 747 1.6× 375 1.7× 137 1.1× 84 0.8× 9 0.1× 17 974

Countries citing papers authored by Andrew Wang

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Wang. A scholar is included among the top collaborators of Andrew 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 Andrew Wang. Andrew 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, Andrew. (2025). A general diagnostic of the normal approximation in GMM models. Econometrics Journal. 28(2). 261–275.
2.
Wang, Andrew, et al.. (2022). Noncovalent hyaluronan crosslinking by TSG-6: Modulation by heparin, heparan sulfate, and PRG4. Frontiers in Molecular Biosciences. 9. 990861–990861. 4 indexed citations
3.
Kalaparthi, V., Andrew Wang, Chris Williams, et al.. (2020). Difference in biophysical properties of cancer-initiating cells in melanoma mutated zebrafish. Journal of the mechanical behavior of biomedical materials. 107. 103746–103746. 6 indexed citations
4.
Sokolov, Igor, Maxim Dokukin, V. Kalaparthi, et al.. (2018). Noninvasive diagnostic imaging using machine-learning analysis of nanoresolution images of cell surfaces: Detection of bladder cancer. Proceedings of the National Academy of Sciences. 115(51). 12920–12925. 89 indexed citations
5.
Song, Bo, Kai Liu, Yuan Gao, et al.. (2018). Gender-Specific Relationship Between Uric Acid Levels and Prognosis After Cerebral Venous Thrombosis. Current Neurovascular Research. 15(4). 292–297. 3 indexed citations
6.
Kanada, Masamitsu, Michael H. Bachmann, Jonathan Hardy, et al.. (2015). Differential fates of biomolecules delivered to target cells via extracellular vesicles. Proceedings of the National Academy of Sciences. 112(12). 384 indexed citations
8.
Russin, Timothy J., et al.. (2010). Development of a MEMS-based Raman spectrometer. Zenodo (CERN European Organization for Nuclear Research). 283. 56–60. 2 indexed citations
9.
Tran, Tri, Nimman Satumtira, Martha L. Dorris, et al.. (2004). HLA-B27 in Transgenic Rats Forms Disulfide-Linked Heavy Chain Oligomers and Multimers That Bind to the Chaperone BiP. The Journal of Immunology. 172(8). 5110–5119. 79 indexed citations
10.
Calabro, Anthony, Ronald J. Midura, Andrew Wang, et al.. (2001). Fluorophore-assisted carbohydrate electrophoresis (FACE) of glycosaminoglycans. Osteoarthritis and Cartilage. 9. S16–S22. 92 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026