Sam Z. Grinter

948 citations
10 papers · 658 · h-index 10

Impact in

Papers in

Sam Z. Grinter

10 papers receiving 644 citations

Peers

Sam Z. Grinter
Comparison fields: 5 of 88
  • Computational Theory and Mathematics 424
  • Molecular Biology 474
  • Pharmacology 64
  • Organic Chemistry 89
  • Pharmacology 27
Replace Daniel Álvarez-García with:
Daniel Álvarez-García Spain
Sergio Ruiz‐Carmona Spain
Yang Ying United States
Francesca Perruccio United Kingdom
Michał Łaźniewski Poland
Stefan Bietz Germany
Sahil Patel United Kingdom
Khanh Tang United States
Britta Nisius Germany
Oranit Dror Israel
Sam Z. Grinter relative to Daniel Álvarez-García Spain Daniel Álvarez-García's profile →
Citations per field
00.5×1.6×
Daniel Álvarez-García · 1×
Citations per year

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-authors

The 24 scholars most cited alongside Sam Z. Grinter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sam Z. Grinter Line = papers co-authored together Sam Z. Grinter links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2010346
2 2014156
3 201156
4 201519
5 201319
6 201318
7 201613
8 200911
9 202110
10 201410

About Sam Z. Grinter

Sam Z. Grinter is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Organic Chemistry and Civil and Structural Engineering, having authored 10 papers that have together received 658 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (2 papers), Plant biochemistry and biosynthesis (2 papers), Machine Learning in Materials Science (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Ion channel regulation and function (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Computational Theory and Mathematics (424 citations), Molecular Biology (474 citations), Pharmacology (64 citations), Organic Chemistry (89 citations) and Pharmacology (27 citations). Sam Z. Grinter has collaborated with scholars based in United States. Frequent co-authors include Xiaoqin Zou, Sheng‐You Huang, Chengfei Yan, Salman M. Hyder, Yayun Liang, Zhiwei Ma, Haoyang Liu, Shan Chang, Lin Jiang and Xianjin Xu. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Chemical Information and Modeling, Journal of Computational Chemistry, Journal of Molecular Graphics and Modelling and Physical Chemistry Chemical Physics.

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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