Sam Z. Grinter

948 total citations
10 papers, 658 citations indexed

About

Sam Z. Grinter is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Sam Z. Grinter has authored 10 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Sam Z. Grinter's work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (7 papers) and Machine Learning in Materials Science (2 papers). Sam Z. Grinter is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (7 papers) and Machine Learning in Materials Science (2 papers). Sam Z. Grinter collaborates with scholars based in United States. Sam Z. Grinter's co-authors include Xiaoqin Zou, Sheng‐You Huang, Chengfei Yan, Salman M. Hyder, Yayun Liang, Zhiwei Ma, Haoyang Liu, Xianjin Xu, Lin Jiang and Shan Chang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Physical Chemistry B and Physical Chemistry Chemical Physics.

In The Last Decade

Sam Z. Grinter

10 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sam Z. Grinter United States	10	474	424	102	89	64	10	658
Daniel Álvarez-García Spain	6	480 1.0×	323 0.8×	105 1.0×	78 0.9×	55 0.9×	7	632
Nicolas Bosc United Kingdom	9	424 0.9×	419 1.0×	124 1.2×	57 0.6×	73 1.1×	13	715
Britta Nisius Germany	11	428 0.9×	467 1.1×	84 0.8×	85 1.0×	76 1.2×	18	613
Guillaume Bret France	12	437 0.9×	424 1.0×	121 1.2×	86 1.0×	121 1.9×	20	590
Zunyun Fu China	15	345 0.7×	335 0.8×	142 1.4×	125 1.4×	61 1.0×	29	717
Sergio Ruiz‐Carmona Spain	7	466 1.0×	298 0.7×	98 1.0×	68 0.8×	55 0.9×	15	688
Khanh Tang United States	4	463 1.0×	484 1.1×	177 1.7×	84 0.9×	85 1.3×	6	756
Pascal Müller Switzerland	5	566 1.2×	510 1.2×	96 0.9×	132 1.5×	113 1.8×	8	780
Yang Ying United States	8	414 0.9×	310 0.7×	76 0.7×	120 1.3×	64 1.0×	12	639
Sahil Patel United Kingdom	6	417 0.9×	338 0.8×	107 1.0×	91 1.0×	140 2.2×	10	621

Countries citing papers authored by Sam Z. Grinter

Since Specialization

Citations

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

Fields of papers citing papers by Sam Z. Grinter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam Z. Grinter. 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 Sam Z. Grinter. The network helps show where Sam Z. Grinter may publish in the future.

Co-authorship network of co-authors of Sam Z. Grinter

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

All Works

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10 of 10 papers shown

Lin, Yangyang, Sam Z. Grinter, Zhongju Lu, et al.. (2021). Modulating the voltage sensor of a cardiac potassium channel shows antiarrhythmic effects. Proceedings of the National Academy of Sciences. 118(20). 10 indexed citations

Xu, Xianjin, Liming Qiu, Chengfei Yan, et al.. (2016). Performance of MDockPP in CAPRI rounds 28‐29 and 31‐35 including the prediction of water‐mediated interactions. Proteins Structure Function and Bioinformatics. 85(3). 424–434. 13 indexed citations

Yan, Chengfei, et al.. (2015). Iterative Knowledge-Based Scoring Functions Derived from Rigid and Flexible Decoy Structures: Evaluation with the 2013 and 2014 CSAR Benchmarks. Journal of Chemical Information and Modeling. 56(6). 1013–1021. 19 indexed citations

Grinter, Sam Z. & Xiaoqin Zou. (2014). Challenges, Applications, and Recent Advances of Protein-Ligand Docking in Structure-Based Drug Design. Molecules. 19(7). 10150–10176. 156 indexed citations

Grinter, Sam Z. & Xiaoqin Zou. (2014). A Bayesian statistical approach of improving knowledge‐based scoring functions for protein–ligand interactions. Journal of Computational Chemistry. 35(12). 932–943. 10 indexed citations

Grinter, Sam Z., et al.. (2013). Automated Large-Scale File Preparation, Docking, and Scoring: Evaluation of ITScore and STScore Using the 2012 Community Structure–Activity Resource Benchmark. Journal of Chemical Information and Modeling. 53(8). 1905–1914. 19 indexed citations

Huang, Sheng‐You, Chengfei Yan, Sam Z. Grinter, et al.. (2013). Inclusion of the orientational entropic effect and low‐resolution experimental information for protein–protein docking in Critical Assessment of PRedicted Interactions (CAPRI). Proteins Structure Function and Bioinformatics. 81(12). 2183–2191. 18 indexed citations

Grinter, Sam Z., Yayun Liang, Sheng‐You Huang, Salman M. Hyder, & Xiaoqin Zou. (2011). An inverse docking approach for identifying new potential anti-cancer targets. Journal of Molecular Graphics and Modelling. 29(6). 795–799. 56 indexed citations

Huang, Sheng‐You, Sam Z. Grinter, & Xiaoqin Zou. (2010). Scoring functions and their evaluation methods for protein–ligand docking: recent advances and future directions. Physical Chemistry Chemical Physics. 12(40). 12899–12899. 346 indexed citations

10.

Liu, Haoyang, Sam Z. Grinter, & Xiaoqin Zou. (2009). Multiscale Generalized Born Modeling of Ligand Binding Energies for Virtual Database Screening. The Journal of Physical Chemistry B. 113(35). 11793–11799. 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.

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