S. Song

18.8k total citations
2 papers, 3 citations indexed

About

S. Song is a scholar working on Organic Chemistry, Molecular Biology and Biomaterials. According to data from OpenAlex, S. Song has authored 2 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Organic Chemistry, 1 paper in Molecular Biology and 1 paper in Biomaterials. Recurrent topics in S. Song's work include Gut microbiota and health (1 paper), Bone and Dental Protein Studies (1 paper) and Supramolecular Chemistry and Complexes (1 paper). S. Song is often cited by papers focused on Gut microbiota and health (1 paper), Bone and Dental Protein Studies (1 paper) and Supramolecular Chemistry and Complexes (1 paper). S. Song collaborates with scholars based in Mexico, Iran and China. S. Song's co-authors include Yi He, Mohammad Mehdi Ommati, Socorro Retana‐Márquez, Mohammad Javad Zamiri, Hongwei Wang, Chao Zhao, Reza Heidari, Samira Sabouri and Amy O. Stevens and has published in prestigious journals such as Journal of Agricultural and Food Chemistry and Molecules.

In The Last Decade

S. Song

2 papers receiving 3 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Song Mexico	2	2	1	1	1	1	2	3
F. Wang China	2	2 1.0×					3	4
John Burn Australia	2	2 1.0×					3	4
J.Z. Zhang China	2						2	3
Matthew Pellan Cheng United States	2						2	3
R. Zou China	1						2	3
Y. Zeng China	2						4	3
C. H. Li China	1	1 0.5×					2	2
Q. P. Ji China	2						2	3
T. Wang United States	2						2	3
H. L. Dai China	2						2	2

Countries citing papers authored by S. Song

Since Specialization

Citations

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

Fields of papers citing papers by S. Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Song

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

All Works

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2 of 2 papers shown

1.

Ommati, Mohammad Mehdi, Mohammad Javad Zamiri, Socorro Retana‐Márquez, et al.. (2025). Sex-Specific Mechanisms of Fluoride-Induced Gonadal Injury: A Multi-Omics Investigation into Reproductive Toxicity and Gut Microbiota Disruption. Journal of Agricultural and Food Chemistry. 73(4). 2527–2550. 2 indexed citations

2.

Song, S., et al.. (2024). Molecular Dynamics Insights into Peptide-Based Tetrodotoxin Delivery Nanostructures. Molecules. 30(1). 61–61. 1 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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