Zhaolong Wu

1.4k total citations · 1 hit paper
10 papers, 930 citations indexed

About

Zhaolong Wu is a scholar working on Molecular Biology, Materials Chemistry and Structural Biology. According to data from OpenAlex, Zhaolong Wu has authored 10 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Materials Chemistry and 2 papers in Structural Biology. Recurrent topics in Zhaolong Wu's work include Glycosylation and Glycoproteins Research (2 papers), Ubiquitin and proteasome pathways (2 papers) and 2D Materials and Applications (2 papers). Zhaolong Wu is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Ubiquitin and proteasome pathways (2 papers) and 2D Materials and Applications (2 papers). Zhaolong Wu collaborates with scholars based in China, United States and Finland. Zhaolong Wu's co-authors include Youdong Mao, Wei Li Wang, Arthur V. Hauenstein, Gabriel Núñez, Liudmila Andreeva, Qi Qiao, Humayun Sharif, Li Wang, Venkat Giri Magupalli and Hao Wu and has published in prestigious journals such as Nature, Nature Communications and Journal of Applied Physics.

In The Last Decade

Zhaolong Wu

10 papers receiving 925 citations

Hit Papers

Structural mechanism for ... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhaolong Wu China 8 806 202 101 94 87 10 930
Humayun Sharif United States 11 1.4k 1.8× 414 2.0× 87 0.9× 156 1.7× 92 1.1× 12 1.6k
Jurgen Heymann United States 11 585 0.7× 60 0.3× 82 0.8× 178 1.9× 40 0.5× 17 929
Yuichiro Takagi United States 25 1.5k 1.9× 81 0.4× 106 1.0× 15 0.2× 70 0.8× 63 1.9k
Wesley Skillern United States 9 603 0.7× 131 0.6× 282 2.8× 31 0.3× 72 0.8× 9 801
Rong Meng China 8 667 0.8× 173 0.9× 45 0.4× 90 1.0× 45 0.5× 15 864
Tracy M. Josephs Australia 16 340 0.4× 239 1.2× 38 0.4× 30 0.3× 105 1.2× 23 664
Naotaka Tsutsumi United States 18 432 0.5× 376 1.9× 33 0.3× 10 0.1× 88 1.0× 27 952
Annalyn Gilchrist United States 7 686 0.9× 34 0.2× 336 3.3× 38 0.4× 44 0.5× 8 994
Björn Koos Germany 15 478 0.6× 68 0.3× 59 0.6× 24 0.3× 62 0.7× 41 719
Manjula Pandey United States 19 748 0.9× 103 0.5× 134 1.3× 10 0.1× 452 5.2× 29 1.5k

Countries citing papers authored by Zhaolong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhaolong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaolong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaolong Wu. A scholar is included among the top collaborators of Zhaolong Wu 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 Zhaolong Wu. Zhaolong Wu 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
2.
Wu, Zhaolong, et al.. (2024). Uncertainty quantification on small angle x-ray scattering measurement using Bayesian deep learning. Journal of Applied Physics. 136(14). 1 indexed citations
3.
Xu, Han, Daqi Yu, Zhaolong Wu, et al.. (2023). Determining subunit-subunit interaction from statistics of cryo-EM images: observation of nearest-neighbor coupling in a circadian clock protein complex. Nature Communications. 14(1). 5907–5907. 7 indexed citations
4.
Wu, Zhaolong, et al.. (2022). Visualizing Conformational Space of Functional Biomolecular Complexes by Deep Manifold Learning. International Journal of Molecular Sciences. 23(16). 8872–8872. 11 indexed citations
5.
Zhang, Shuwen, Shitao Zou, Lihong Zhao, et al.. (2022). USP14-regulated allostery of the human proteasome by time-resolved cryo-EM. Nature. 605(7910). 567–574. 58 indexed citations
6.
Zhang, Xi, Daqi Yu, Jingchuan Sun, et al.. (2020). Visualization of Ligand-Bound Ectodomain Assembly in the Full-Length Human IGF-1 Receptor by Cryo-EM Single-Particle Analysis. Structure. 28(5). 555–561.e4. 23 indexed citations
7.
Sharif, Humayun, Li Wang, Wei Li Wang, et al.. (2019). Structural mechanism for NEK7-licensed activation of NLRP3 inflammasome. Nature. 570(7761). 338–343. 571 indexed citations breakdown →
8.
Dong, Yuanchen, Shuwen Zhang, Zhaolong Wu, et al.. (2018). Cryo-EM structures and dynamics of substrate-engaged human 26S proteasome. Nature. 565(7737). 49–55. 225 indexed citations
9.
Wu, Zhaolong, et al.. (2016). First-principles study of monolayer MoS2 with deficient and excessive Mo and S (n= −3 → 3) clusters on 5 × 5 supercells. Computational Materials Science. 121. 124–130. 10 indexed citations
10.
Zhang, Meng, Zhongjia Huang, Xiao Wang, et al.. (2016). Magnetic MoS2 pizzas and sandwiches with Mnn (n = 1–4) cluster toppings and fillings: A first-principles investigation. Scientific Reports. 6(1). 19504–19504. 20 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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