Austin L. Wang

1.0k total citations
12 papers, 665 citations indexed

About

Austin L. Wang is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, Austin L. Wang has authored 12 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cell Biology, 8 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Austin L. Wang's work include Cellular transport and secretion (9 papers), Retinal Development and Disorders (4 papers) and Lipid Membrane Structure and Behavior (4 papers). Austin L. Wang is often cited by papers focused on Cellular transport and secretion (9 papers), Retinal Development and Disorders (4 papers) and Lipid Membrane Structure and Behavior (4 papers). Austin L. Wang collaborates with scholars based in United States, Germany and Switzerland. Austin L. Wang's co-authors include Axel T. Brünger, Minglei Zhao, Peng Zhou, Thomas C. Südhof, Dick Wu, Qiangjun Zhou, Ucheor B. Choi, Richard A. Pfuetzner, Ying Lai and Jeremy Leitz and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Austin L. Wang

12 papers receiving 658 citations

Peers

Austin L. Wang

MB

CB

CMN

PHYSI

Jarosław Kasprowicz Belgium

Peter J. Wen Australia

Edaeni Hamid United States

Cécile Iborra France

Berit Söhl-Kielczynski Germany

Shinichi Nakamuta Japan

Xin Bian United States

Xiaochu Lou United States

Shuwen Chang Germany

Martin Harterink Netherlands

Jarosław Kasprowicz Belgium

Austin L. Wang

443 ×1.0

MB

391 ×0.9

CB

229 ×1.0

CMN

67 ×0.7

PHYSI

50 ×0.7

PHYSI

Citations per year, relative to Austin L. Wang Austin L. Wang (= 1×) peers Jarosław Kasprowicz

Countries citing papers authored by Austin L. Wang

Since Specialization

Citations

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

Fields of papers citing papers by Austin L. Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Austin L. Wang

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

All Works

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12 of 12 papers shown

1.

Leitz, Jeremy, Chuchu Wang, Luis Esquivies, et al.. (2024). Beyond the MUN domain, Munc13 controls priming and depriming of synaptic vesicles. Cell Reports. 43(5). 114026–114026. 9 indexed citations

2.

Leitz, Jeremy, Chuchu Wang, Luis Esquivies, et al.. (2024). Observing isolated synaptic vesicle association and fusion ex vivo. Nature Protocols. 19(11). 3139–3161. 5 indexed citations

3.

Wang, Austin L., et al.. (2023). The progranulin cleavage product granulin 3 exerts a dominant negative effect on animal fitness. Human Molecular Genetics. 33(3). 245–253. 3 indexed citations

4.

Chin, Marcus Y., Anand Patwardhan, Kean-Hooi Ang, et al.. (2021). Genetically Encoded, pH-Sensitive mTFP1 Biosensor for Probing Lysosomal pH. ACS Sensors. 6(6). 2168–2180. 51 indexed citations

5.

Butler, Victoria, et al.. (2019). Multi-Granulin Domain Peptides Bind to Pro-Cathepsin D and Stimulate Its Enzymatic Activity More Effectively Than Progranulin in Vitro. Biochemistry. 58(23). 2670–2674. 27 indexed citations

6.

Butler, Victoria, David Soriano‐Castell, Miguel Alves‐Ferreira, et al.. (2018). Tau/MAPT disease-associated variant A152T alters tau function and toxicity via impaired retrograde axonal transport. Human Molecular Genetics. 28(9). 1498–1514. 21 indexed citations

7.

Zhou, Qiangjun, Peng Zhou, Austin L. Wang, et al.. (2017). The primed SNARE–complexin–synaptotagmin complex for neuronal exocytosis. Nature. 548(7668). 420–425. 195 indexed citations

8.

Lai, Ying, Ucheor B. Choi, Jeremy Leitz, et al.. (2017). Molecular Mechanisms of Synaptic Vesicle Priming by Munc13 and Munc18. Neuron. 95(3). 591–607.e10. 177 indexed citations

9.

Wang, Shen, Ucheor B. Choi, Jihong Gong, et al.. (2017). Conformational change of syntaxin linker region induced by Munc13s initiates SNARE complex formation in synaptic exocytosis. The EMBO Journal. 36(6). 816–829. 65 indexed citations

10.

Malmersjö, Seth, Serena Di Palma, Jiajie Diao, et al.. (2016). Phosphorylation of residues inside the SNARE complex suppresses secretory vesicle fusion. The EMBO Journal. 35(16). 1810–1821. 33 indexed citations

11.

Lai, Ying, Ucheor B. Choi, Yunxiang Zhang, et al.. (2016). N-terminal domain of complexin independently activates calcium-triggered fusion. Proceedings of the National Academy of Sciences. 113(32). 40 indexed citations

12.

Wasserman, Sara, Jacob W. Aptekar, Austin L. Wang, et al.. (2015). Olfactory Neuromodulation of Motion Vision Circuitry in Drosophila. Current Biology. 25(4). 467–472. 39 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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