Yujun Tao

838 total citations · 1 hit paper
12 papers, 609 citations indexed

About

Yujun Tao is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Yujun Tao has authored 12 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Materials Chemistry and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Yujun Tao's work include Protein Structure and Dynamics (8 papers), Machine Learning in Materials Science (5 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). Yujun Tao is often cited by papers focused on Protein Structure and Dynamics (8 papers), Machine Learning in Materials Science (5 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). Yujun Tao collaborates with scholars based in United States, China and Germany. Yujun Tao's co-authors include Darrin M. York, Timothy J. Giese, Tai‐Sung Lee, Hsu‐Chun Tsai, Chengwu Zhang, Aifen Li, Yuanming Zhang, Bryce K. Allen, Brian K. Radak and Woody Sherman and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Bioresource Technology.

In The Last Decade

Yujun Tao

11 papers receiving 591 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery

2020 247 citations Tai‐Sung Lee, Bryce K. Allen et al. Journal of Chemical Information and Modeling profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yujun Tao United States	9	307	177	155	137	64	12	609
A. Sofia F. Oliveira United Kingdom	20	584 1.9×	68 0.4×	96 0.6×	86 0.6×	62 1.0×	44	900
Christina Leutwein Germany	9	599 2.0×	96 0.5×	83 0.5×	175 1.3×	9 0.1×	9	889
I. B. Kovalenko Russia	15	453 1.5×	105 0.6×	15 0.1×	47 0.3×	162 2.5×	66	624
Zhong Wang China	16	115 0.4×	102 0.6×	20 0.1×	210 1.5×	18 0.3×	46	611
Crina-Maria Ionescu Czechia	10	359 1.2×	17 0.1×	91 0.6×	123 0.9×	38 0.6×	18	575
Eric Merkley United States	14	618 2.0×	35 0.2×	18 0.1×	158 1.2×	19 0.3×	38	1.0k
Mark Dörr Germany	13	530 1.7×	55 0.3×	15 0.1×	101 0.7×	7 0.1×	41	703
Patricia Saura Germany	16	345 1.1×	76 0.4×	14 0.1×	44 0.3×	53 0.8×	26	573
Anna Pabis Sweden	17	460 1.5×	16 0.1×	21 0.1×	138 1.0×	89 1.4×	23	750
Mowei Zhou United States	22	856 2.8×	26 0.1×	26 0.2×	158 1.2×	21 0.3×	73	1.6k

Countries citing papers authored by Yujun Tao

Since Specialization

Citations

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

Fields of papers citing papers by Yujun Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujun Tao

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Giese, Timothy J., et al.. (2024). Surface-Accelerated String Method for Locating Minimum Free Energy Paths. Journal of Chemical Theory and Computation. 20(5). 2058–2073. 8 indexed citations

Tao, Yujun, Timothy J. Giese, Şölen Ekesan, et al.. (2024). Amber free energy tools: Interoperable software for free energy simulations using generalized quantum mechanical/molecular mechanical and machine learning potentials. The Journal of Chemical Physics. 160(22). 10 indexed citations

Giese, Timothy J., et al.. (2024). Software Infrastructure for Next-Generation QM/MM−ΔMLP Force Fields. The Journal of Physical Chemistry B. 128(26). 6257–6271. 15 indexed citations

Tao, Yujun, Timothy J. Giese, & Darrin M. York. (2024). Electronic and Nuclear Quantum Effects on Proton Transfer Reactions of Guanine–Thymine (G-T) Mispairs Using Combined Quantum Mechanical/Molecular Mechanical and Machine Learning Potentials. Molecules. 29(11). 2703–2703. 3 indexed citations

Zeng, Jinzhe, Yujun Tao, Timothy J. Giese, & Darrin M. York. (2023). QDπ: A Quantum Deep Potential Interaction Model for Drug Discovery. Journal of Chemical Theory and Computation. 19(4). 1261–1275. 30 indexed citations

Zeng, Jinzhe, Yujun Tao, Timothy J. Giese, & Darrin M. York. (2023). Modern semiempirical electronic structure methods and machine learning potentials for drug discovery: Conformers, tautomers, and protonation states. The Journal of Chemical Physics. 158(12). 124110–124110. 17 indexed citations

Tao, Yujun, Shuaiyang Wang, Jing Shen, et al.. (2022). Growth-Promoting Effects of Zhenqi Granules on Finishing Pigs. Animals. 12(24). 3521–3521.

Lee, Tai‐Sung, Zhixiong Lin, Bryce K. Allen, et al.. (2020). Improved Alchemical Free Energy Calculations with Optimized Smoothstep Softcore Potentials. Journal of Chemical Theory and Computation. 16(9). 5512–5525. 44 indexed citations

Lee, Tai‐Sung, Bryce K. Allen, Timothy J. Giese, et al.. (2020). Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery. Journal of Chemical Information and Modeling. 60(11). 5595–5623. 247 indexed citations breakdown →

10.

Tsai, Hsu‐Chun, Yujun Tao, Tai‐Sung Lee, Kenneth M. Merz, & Darrin M. York. (2020). Validation of Free Energy Methods in AMBER. Journal of Chemical Information and Modeling. 60(11). 5296–5300. 22 indexed citations

11.

Tao, Yujun, Yi Zhu, Baoyan Gao, et al.. (2014). Effective flocculation of target microalgae with self-flocculating microalgae induced by pH decrease. Bioresource Technology. 167. 367–375. 46 indexed citations

12.

Zhu, Yi, Yujun Tao, Yuanming Zhang, et al.. (2013). Freshwater microalgae harvested via flocculation induced by pH decrease. Biotechnology for Biofuels. 6(1). 98–98. 167 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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