Minyi Su

1.6k total citations · 2 hit papers
12 papers, 1.1k citations indexed

About

Minyi Su is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Minyi Su has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 8 papers in Molecular Biology and 3 papers in Materials Chemistry. Recurrent topics in Minyi Su's work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (5 papers) and Chemical Synthesis and Analysis (2 papers). Minyi Su is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (5 papers) and Chemical Synthesis and Analysis (2 papers). Minyi Su collaborates with scholars based in China and Macao. Minyi Su's co-authors include Renxiao Wang, Zhihai Liu, Qifan Yang, Guoqin Feng, Yu Du, Yan Li, Li Han, Jie Liu, Yan Li and Yan Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Accounts of Chemical Research and Bioinformatics.

In The Last Decade

Minyi Su

12 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Comparative Assessment of Scoring Functions: The CASF-2016 Update

2018 517 citations Minyi Su, Qifan Yang et al. Journal of Chemical Information and Modeling profile →
Forging the Basis for Developing Protein–Ligand Interaction Scoring Functions

2017 324 citations Zhihai Liu, Minyi Su et al. Accounts of Chemical Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minyi Su China	9	894	887	339	140	101	12	1.1k
Jocelyn Sunseri United States	7	629 0.7×	637 0.7×	240 0.7×	87 0.6×	130 1.3×	8	996
Matthias Zentgraf Germany	11	467 0.5×	511 0.6×	265 0.8×	100 0.7×	129 1.3×	14	946
Zhixiong Zhao China	14	610 0.7×	780 0.9×	225 0.7×	200 1.4×	139 1.4×	30	1.1k
Isha Singh United States	10	417 0.5×	666 0.8×	181 0.5×	82 0.6×	105 1.0×	14	901
Tomohide Masuda Japan	6	476 0.5×	495 0.6×	246 0.7×	67 0.5×	79 0.8×	10	744
Khanh Tang United States	4	484 0.5×	463 0.5×	177 0.5×	85 0.6×	84 0.8×	6	756
Guoqin Feng China	8	487 0.5×	535 0.6×	222 0.7×	71 0.5×	108 1.1×	10	753
Markus Hartenfeller Switzerland	11	539 0.6×	452 0.5×	198 0.6×	125 0.9×	120 1.2×	15	685
Jike Wang China	18	753 0.8×	660 0.7×	458 1.4×	77 0.6×	57 0.6×	52	1.1k
Eloy Félix United Kingdom	6	625 0.7×	545 0.6×	230 0.7×	88 0.6×	68 0.7×	11	1.0k

Countries citing papers authored by Minyi Su

Since Specialization

Citations

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

Fields of papers citing papers by Minyi Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minyi Su

This figure shows the co-authorship network connecting the top 25 collaborators of Minyi Su. A scholar is included among the top collaborators of Minyi Su 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 Minyi Su. Minyi Su 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

1.

Su, Minyi & Enric Herrero. (2023). Creation and interpretation of machine learning models for aqueous solubility prediction. SHILAP Revista de lepidopterología. 388–404. 1 indexed citations

2.

Xiang, Honggang, Ruiqi Liu, Xiangying Zhang, et al.. (2023). Discovery of Small-Molecule Autophagy Inhibitors by Disrupting the Protein–Protein Interactions Involving Autophagy-Related 5. Journal of Medicinal Chemistry. 66(4). 2457–2476. 8 indexed citations

3.

Su, Minyi, et al.. (2022). Public Data Set of Protein–Ligand Dissociation Kinetic Constants for Quantitative Structure–Kinetics Relationship Studies. ACS Omega. 7(22). 18985–18996. 14 indexed citations

4.

Su, Minyi, et al.. (2020). Machine-Learning Model for Predicting the Rate Constant of ProteinLigand Dissociation. Acta Physico-Chimica Sinica. 36(1). 1907006–0. 4 indexed citations

5.

Su, Minyi, Guoqin Feng, Zhihai Liu, Yan Li, & Renxiao Wang. (2020). Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set?. Journal of Chemical Information and Modeling. 60(3). 1122–1136. 64 indexed citations

6.

Yang, Qifan, Minyi Su, Yan Li, & Renxiao Wang. (2019). Revisiting the Relationship Between Correlation Coefficient, Confidence Level, and Sample Size. Journal of Chemical Information and Modeling. 59(11). 4602–4612. 10 indexed citations

7.

Li, Yan, Minyi Su, Zhihai Liu, et al.. (2018). Assessing protein–ligand interaction scoring functions with the CASF-2013 benchmark. Nature Protocols. 13(4). 666–680. 86 indexed citations

8.

Su, Minyi, Qifan Yang, Yu Du, et al.. (2018). Comparative Assessment of Scoring Functions: The CASF-2016 Update. Journal of Chemical Information and Modeling. 59(2). 895–913. 517 indexed citations breakdown →

9.

Liu, Jie, et al.. (2017). Enhance the performance of current scoring functions with the aid of 3D protein-ligand interaction fingerprints. BMC Bioinformatics. 18(1). 16 indexed citations

10.

Liu, Zhihai, Minyi Su, Li Han, et al.. (2017). Forging the Basis for Developing Protein–Ligand Interaction Scoring Functions. Accounts of Chemical Research. 50(2). 302–309. 324 indexed citations breakdown →

11.

Li, Shuai, Qiancheng Shen, Minyi Su, et al.. (2016). Alloscore: a method for predicting allosteric ligand–protein interactions. Bioinformatics. 32(10). 1574–1576. 27 indexed citations

12.

Li, Yan, Zhixiong Zhao, Zhihai Liu, Minyi Su, & Renxiao Wang. (2016). AutoT&T v.2: An Efficient and Versatile Tool for Lead Structure Generation and Optimization. Journal of Chemical Information and Modeling. 56(2). 435–453. 19 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