Min Song

25 total papers · 675 total citations
17 papers, 524 citations indexed

About

Min Song is a scholar working on Molecular Biology, Reproductive Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Min Song has authored 17 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Reproductive Medicine and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Min Song's work include Advanced biosensing and bioanalysis techniques (5 papers), Ovarian function and disorders (4 papers) and Reproductive Biology and Fertility (3 papers). Min Song is often cited by papers focused on Advanced biosensing and bioanalysis techniques (5 papers), Ovarian function and disorders (4 papers) and Reproductive Biology and Fertility (3 papers). Min Song collaborates with scholars based in China, South Korea and United States. Min Song's co-authors include Byoung Chan Kim, Jongsoo Jurng, Yeon Seok Kim, Seok Won Hong, Tian‐Ren Li, Yanjie Hu, Young-Kwon Park, Hongbo Liu, Yeonho Kim and Hae Jin Kim and has published in prestigious journals such as Journal of Hazardous Materials, Analytical Biochemistry and Applied Catalysis B: Environmental.

In The Last Decade

Min Song

17 papers receiving 514 citations

Hit Papers

Three Rounds of Stability... 2024 2026 2024 10 20 30 40 50

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Min Song 260 193 116 85 72 17 524
Yahui Du 274 1.1× 175 0.9× 64 0.6× 18 0.2× 58 0.8× 26 579
Changanamkandath Rajesh 297 1.1× 60 0.3× 103 0.9× 15 0.2× 15 0.2× 27 531
Shuting Yang 121 0.5× 124 0.6× 85 0.7× 17 0.2× 10 0.1× 31 465
Ilaria Armenia 199 0.8× 150 0.8× 94 0.8× 18 0.2× 24 0.3× 19 501
Binh Vu 338 1.3× 310 1.6× 117 1.0× 10 0.1× 22 0.3× 29 574
Mi-Gyeong Kim 132 0.5× 268 1.4× 211 1.8× 96 1.1× 13 0.2× 20 608
Shiming Zhao 322 1.2× 202 1.0× 60 0.5× 7 0.1× 33 0.5× 20 474
Anzhi Sheng 427 1.6× 196 1.0× 117 1.0× 6 0.1× 29 0.4× 26 568
Dipanwita Mitra 183 0.7× 136 0.7× 46 0.4× 29 0.3× 15 0.2× 27 616
Augusta De Santis 249 1.0× 59 0.3× 45 0.4× 8 0.1× 24 0.3× 18 501

Countries citing papers authored by Min Song

Since Specialization
Citations

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

Fields of papers citing papers by Min Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Song

This figure shows the co-authorship network connecting the top 25 collaborators of Min Song. A scholar is included among the top collaborators of Min 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 Min Song. Min 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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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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