Cunliang Geng

1.4k total citations
19 papers, 800 citations indexed

About

Cunliang Geng is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Cunliang Geng has authored 19 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Cunliang Geng's work include Protein Structure and Dynamics (12 papers), Computational Drug Discovery Methods (6 papers) and Bioinformatics and Genomic Networks (5 papers). Cunliang Geng is often cited by papers focused on Protein Structure and Dynamics (12 papers), Computational Drug Discovery Methods (6 papers) and Bioinformatics and Genomic Networks (5 papers). Cunliang Geng collaborates with scholars based in Netherlands, United States and United Kingdom. Cunliang Geng's co-authors include Alexandre M. J. J. Bonvin, Li C. Xue, Anna Vangone, Mikaël Trellet, Panagiotis I. Koukos, Jörg Schaarschmidt, Jorge Roel‐Touris, Nicolas Renaud, João Rodrigues and Vasant Honavar and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Bioinformatics.

In The Last Decade

Cunliang Geng

19 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cunliang Geng Netherlands	13	588	217	92	74	70	19	800
Gyu Rie Lee South Korea	14	748 1.3×	122 0.6×	148 1.6×	66 0.9×	63 0.9×	23	909
Sebastian Bittrich United States	12	762 1.3×	131 0.6×	162 1.8×	69 0.9×	40 0.6×	23	1.1k
Raquel C. de Melo-Minardi Brazil	14	604 1.0×	191 0.9×	101 1.1×	36 0.5×	87 1.2×	59	769
Gordon Lemmon United States	12	949 1.6×	165 0.8×	218 2.4×	86 1.2×	57 0.8×	16	1.3k
Antonija Kuzmanic United Kingdom	11	601 1.0×	190 0.9×	188 2.0×	47 0.6×	29 0.4×	12	844
Cole Christie United States	5	775 1.3×	217 1.0×	158 1.7×	48 0.6×	19 0.3×	7	1.0k
Martha Quesada United States	4	699 1.2×	165 0.8×	140 1.5×	42 0.6×	20 0.3×	4	907
Ramachandran Vijayan India	17	635 1.1×	268 1.2×	131 1.4×	132 1.8×	24 0.3×	50	1.1k
Lucianna Helene Santos Brazil	12	369 0.6×	133 0.6×	57 0.6×	56 0.8×	51 0.7×	38	617
Charles David New Zealand	7	600 1.0×	194 0.9×	67 0.7×	80 1.1×	25 0.4×	14	995

Countries citing papers authored by Cunliang Geng

Since Specialization

Citations

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

Fields of papers citing papers by Cunliang Geng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cunliang Geng

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

19 of 19 papers shown

Reys, Victor, Marco Giulini, Vlad Cojocaru, et al.. (2024). Integrative Modeling in the Age of Machine Learning: A Summary of HADDOCK Strategies in CAPRI Rounds 47–55. Proteins Structure Function and Bioinformatics. 1 indexed citations

Geng, Cunliang, et al.. (2023). MetaScore: A Novel Machine-Learning-Based Approach to Improve Traditional Scoring Functions for Scoring Protein–Protein Docking Conformations. Biomolecules. 13(1). 121–121. 8 indexed citations

Baccinelli, Walter, Robin A. Richardson, Cunliang Geng, et al.. (2022). Reusable virtual coach for smoking cessation and physical activity coaching. University of Twente Research Information. 1–3. 2 indexed citations

Renaud, Nicolas, Cunliang Geng, Sonja Georgievska, et al.. (2021). DeepRank: a deep learning framework for data mining 3D protein-protein interfaces. Nature Communications. 12(1). 7068–7068. 76 indexed citations

Huber, Florian, Stefan Verhoeven, Christiaan Meijer, et al.. (2020). matchms - processing and similarity evaluation of mass spectrometry data.. The Journal of Open Source Software. 5(52). 2411–2411. 65 indexed citations

Renaud, Nicolas, et al.. (2020). iScore: An MPI supported software for ranking protein–protein docking models based on a random walk graph kernel and support vector machines. SoftwareX. 11. 100462–100462. 4 indexed citations

Renaud, Nicolas, et al.. (2020). DeepRank/deeprank v0.1.0. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Renaud, Nicolas & Cunliang Geng. (2020). The pdb2sql Python Package: Parsing, Manipulation and Analysis of PDB Files Using SQL Queries. The Journal of Open Source Software. 5(49). 2077–2077. 4 indexed citations

Geng, Cunliang, Li C. Xue, Jorge Roel‐Touris, & Alexandre M. J. J. Bonvin. (2019). Finding the ΔΔG spot: Are predictors of binding affinity changes upon mutations in protein–protein interactions ready for it?. Wiley Interdisciplinary Reviews Computational Molecular Science. 9(5). 71 indexed citations

10.

Geng, Cunliang, et al.. (2019). iScore: a novel graph kernel-based function for scoring protein–protein docking models. Bioinformatics. 36(1). 112–121. 54 indexed citations

11.

Koukos, Panagiotis I., Jorge Roel‐Touris, Francesco Ambrosetti, et al.. (2019). An overview of data‐driven HADDOCK strategies in CAPRI rounds 38‐45. Proteins Structure Function and Bioinformatics. 88(8). 1029–1036. 13 indexed citations

12.

Geng, Cunliang, Anna Vangone, Gert E. Folkers, Li C. Xue, & Alexandre M. J. J. Bonvin. (2018). iSEE: Interface structure, evolution, and energy‐based machine learning predictor of binding affinity changes upon mutations. Proteins Structure Function and Bioinformatics. 87(2). 110–119. 56 indexed citations

13.

Vangone, Anna, Jörg Schaarschmidt, Panagiotis I. Koukos, et al.. (2018). Large-scale prediction of binding affinity in protein–small ligand complexes: the PRODIGY-LIG web server. Bioinformatics. 35(9). 1585–1587. 172 indexed citations

14.

Kurkcuoglu, Zeynep, Panagiotis I. Koukos, Mikaël Trellet, et al.. (2017). Performance of HADDOCK and a simple contact-based protein–ligand binding affinity predictor in the D3R Grand Challenge 2. Journal of Computer-Aided Molecular Design. 32(1). 175–185. 100 indexed citations

15.

Geng, Cunliang, Siddarth Narasimhan, João Rodrigues, & Alexandre M. J. J. Bonvin. (2017). Information-Driven, Ensemble Flexible Peptide Docking Using HADDOCK. Methods in molecular biology. 1561. 109–138. 34 indexed citations

16.

Geng, Cunliang, Anna Vangone, & Alexandre M. J. J. Bonvin. (2016). Exploring the interplay between experimental methods and the performance of predictors of binding affinity change upon mutations in protein complexes. Protein Engineering Design and Selection. 29(8). 291–299. 22 indexed citations

17.

Vangone, Anna, João Rodrigues, Li C. Xue, et al.. (2016). Sense and simplicity in HADDOCK scoring: Lessons from CASP‐CAPRI round 1. Proteins Structure Function and Bioinformatics. 85(3). 417–423. 42 indexed citations

18.

Ma, Su, Wengang Chai, Cunliang Geng, et al.. (2013). Purification, Cloning, Characterization and Essential Amino Acid Residues Analysis of a New ι-Carrageenase from Cellulophaga sp. QY3. PLoS ONE. 8(5). e64666–e64666. 27 indexed citations

19.

Gao, Le, Feng Gao, Lushan Wang, et al.. (2012). N-Glycoform Diversity of Cellobiohydrolase I from Penicillium decumbens and Synergism of Nonhydrolytic Glycoform in Cellulose Degradation. Journal of Biological Chemistry. 287(19). 15906–15915. 48 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