Ting Ran

9.0k total citations · 1 hit paper
60 papers, 5.7k citations indexed

About

Ting Ran is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Ting Ran has authored 60 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 20 papers in Computational Theory and Mathematics and 10 papers in Organic Chemistry. Recurrent topics in Ting Ran's work include Computational Drug Discovery Methods (20 papers), Protein Degradation and Inhibitors (11 papers) and Protein Structure and Dynamics (7 papers). Ting Ran is often cited by papers focused on Computational Drug Discovery Methods (20 papers), Protein Degradation and Inhibitors (11 papers) and Protein Structure and Dynamics (7 papers). Ting Ran collaborates with scholars based in China, United States and Australia. Ting Ran's co-authors include Helmut Grubmüller, Sarah Rauscher, Bert L. de Groot, Grzegorz Nawrocki, Michael Feig, Jing Huang, Ying‐Chih Cheng, Kenneth F. Bastow, M. G. Sarngadharan and Ginger E. Dutschman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Ting Ran

58 papers receiving 5.7k 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.

CHARMM36m: an improved force field for folded and intrinsically disordered proteins

2016 4.5k citations Jing Huang, Sarah Rauscher et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ting Ran China	19	4.1k	706	653	511	428	60	5.7k
Vidyashankara Iyer United States	10	4.4k 1.1×	530 0.8×	517 0.8×	394 0.8×	480 1.1×	12	6.3k
Benjamin Webb United States	19	5.2k 1.3×	875 1.2×	722 1.1×	595 1.2×	275 0.6×	28	7.1k
Chresten R. Søndergaard Ireland	9	3.7k 0.9×	803 1.1×	716 1.1×	335 0.7×	587 1.4×	12	5.3k
Grzegorz Nawrocki United States	13	3.7k 0.9×	779 1.1×	456 0.7×	287 0.6×	300 0.7×	17	5.1k
Xi Cheng China	21	5.8k 1.4×	521 0.7×	500 0.8×	527 1.0×	522 1.2×	54	8.3k
Sarah Rauscher Canada	14	4.3k 1.0×	941 1.3×	492 0.8×	288 0.6×	317 0.7×	32	5.8k
Yifei Qi United States	28	6.0k 1.5×	680 1.0×	807 1.2×	497 1.0×	652 1.5×	70	8.1k
Justin A. Lemkul United States	30	4.3k 1.1×	723 1.0×	748 1.1×	266 0.5×	532 1.2×	76	6.4k
Romelia Salomón–Ferrer United States	11	3.7k 0.9×	900 1.3×	690 1.1×	318 0.6×	495 1.2×	17	5.3k
Daniel R. Roe United States	20	5.4k 1.3×	1.1k 1.5×	1.1k 1.6×	522 1.0×	766 1.8×	38	7.7k

Countries citing papers authored by Ting Ran

Since Specialization

Citations

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

Fields of papers citing papers by Ting Ran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Ran

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Ran. A scholar is included among the top collaborators of Ting Ran 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 Ting Ran. Ting Ran 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:

20 of 20 papers shown

Ran, Ting, et al.. (2025). Gender-specific correlations between serum lipid profiles and intra-pancreatic fat deposition: a cross-sectional study. Lipids in Health and Disease. 23(1). 384–384. 2 indexed citations

Qin, Yifei, Xue-Xin Wei, Mingyuan Xu, et al.. (2025). Comprehensive Benchmark Study of Diffusion-Based 3D Molecular Generation Models. ACS Omega. 10(37). 42760–42775. 1 indexed citations

Zhou, Shan, Ting Ran, Yue Zhang, et al.. (2024). Inhibition of M. tuberculosis and human ATP synthase by BDQ and TBAJ-587. Nature. 631(8020). 409–414. 19 indexed citations

Ran, Ting, et al.. (2024). Peptide Inhibitor Targeting the Extraterminal Domain in BRD4 Potently Suppresses Breast Cancer Both In Vitro and In Vivo. Journal of Medicinal Chemistry. 67(8). 6658–6672. 13 indexed citations

Yu, Jianguo, Zehui Yu, Ting Ran, et al.. (2023). Nanoflower core-shell Cu@Pd catalysts for glycol oxidation reaction with an enhanced performance. Colloids and Surfaces A Physicochemical and Engineering Aspects. 674. 131928–131928. 3 indexed citations

Tang, Miru, et al.. (2023). Discovery of novel A2AR antagonists through deep learning-based virtual screening. SHILAP Revista de lepidopterología. 3. 100058–100058. 7 indexed citations

Li, Baiqing, Ting Ran, & Hongming Chen. (2023). 3D based generative PROTAC linker design with reinforcement learning. Briefings in Bioinformatics. 24(5). 25 indexed citations

Ran, Ting, Peng Qi, Tao Lu, et al.. (2023). Development of 3-acetylindole derivatives that selectively target BRPF1 as new inhibitors of receptor activator of NF-κB ligand (RANKL)-Induced osteoclastogenesis. Bioorganic & Medicinal Chemistry. 96. 117440–117440. 2 indexed citations

He, Yaohui, et al.. (2023). MAVI1, an endoplasmic reticulum–localized microprotein, suppresses antiviral innate immune response by targeting MAVS on mitochondrion. Science Advances. 9(35). eadg7053–eadg7053. 17 indexed citations

10.

Liu, Haoyang, et al.. (2023). An extensive benchmark study on biomedical text generation and mining with ChatGPT. Bioinformatics. 39(9). 51 indexed citations

11.

Yu, Feng, Yuyao Yang, Wenbin Deng, Hongming Chen, & Ting Ran. (2022). SyntaLinker-Hybrid: A deep learning approach for target specific drug design. SHILAP Revista de lepidopterología. 2. 100035–100035. 4 indexed citations

12.

Ran, Ting, Wenjuan Li, Bing‐ling Peng, et al.. (2019). Virtual Screening with a Structure-Based Pharmacophore Model to Identify Small-Molecule Inhibitors of CARM1. Journal of Chemical Information and Modeling. 59(1). 522–534. 13 indexed citations

13.

Zhi, Yanle, Haoliang Yuan, Zhijie Wang, et al.. (2018). Discovery of a highly selective FLT3 inhibitor with specific proliferation inhibition against AML cells harboring FLT3-ITD mutation. European Journal of Medicinal Chemistry. 163. 195–206. 18 indexed citations

14.

Liu, Hui, et al.. (2016). Synthesis and Photocatalytic Property of TiO2/Graphene-Fe3O4 Magnetic Ternary Composite Photocatalyst. 45(9). 2448. 1 indexed citations

15.

Huang, Jing, Sarah Rauscher, Grzegorz Nawrocki, et al.. (2016). CHARMM36m: an improved force field for folded and intrinsically disordered proteins. Nature Methods. 14(1). 71–73. 4491 indexed citations breakdown →

16.

Ran, Ting, Zhimin Zhang, Kejun Liu, et al.. (2015). Insight into the key interactions of bromodomain inhibitors based on molecular docking, interaction fingerprinting, molecular dynamics and binding free energy calculation. Molecular BioSystems. 11(5). 1295–1304. 18 indexed citations

17.

Xu, Alan, Yongwei Zhang, Ting Ran, et al.. (2015). Quantitative structure–activity relationship study on BTK inhibitors by modified multivariate adaptive regression spline and CoMSIA methods. SAR and QSAR in environmental research. 26(4). 279–300. 5 indexed citations

18.

Zhang, Yanmin, Yu Jiao, Xiao Xiong, et al.. (2015). Fragment virtual screening based on Bayesian categorization for discovering novel VEGFR-2 scaffolds. Molecular Diversity. 19(4). 895–913. 12 indexed citations

19.

Ran, Ting, Guowu Lin, Qiaomei Jin, et al.. (2013). Novel 1<i>H</i>-Pyrazole-3-carboxamide Derivatives: Synthesis, Anticancer Evaluation and Identification of Their DNA-Binding Interaction. Chemical and Pharmaceutical Bulletin. 62(3). 238–246. 18 indexed citations

20.

Yuan, Haoliang, Shihe Hu, Haichun Liu, et al.. (2013). Fragment-based strategy for structural optimization in combination with 3D-QSAR. Journal of Computer-Aided Molecular Design. 27(10). 897–915. 11 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