Erin Song

12 total papers · 565 total citations
6 papers, 250 citations indexed

About

Erin Song is a scholar working on Cell Biology, Social Psychology and Endocrine and Autonomic Systems. According to data from OpenAlex, Erin Song has authored 6 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cell Biology, 2 papers in Social Psychology and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Erin Song's work include Zebrafish Biomedical Research Applications (3 papers), Neuroendocrine regulation and behavior (2 papers) and Regulation of Appetite and Obesity (2 papers). Erin Song is often cited by papers focused on Zebrafish Biomedical Research Applications (3 papers), Neuroendocrine regulation and behavior (2 papers) and Regulation of Appetite and Obesity (2 papers). Erin Song collaborates with scholars based in United States, Singapore and United Kingdom. Erin Song's co-authors include Florian Engert, Caroline Lei Wee, Kristian J. Herrera, Robert E. Johnson, Andrew Miller, Thomas Panier, Scott W. Linderman, Maxim Nikitchenko, Sam Kunes and Samuel Kunes and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Current Biology.

In The Last Decade

Erin Song

6 papers receiving 247 citations

Author Peers

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

Author Last Decade Papers Cites
Erin Song 103 75 67 53 52 6 250
Maxim Nikitchenko 120 1.2× 95 1.3× 76 1.1× 51 1.0× 43 0.8× 7 245
Antonia H. Groneberg 109 1.1× 55 0.7× 54 0.8× 44 0.8× 50 1.0× 13 270
R. Glenn Northcutt 80 0.8× 58 0.8× 79 1.2× 77 1.5× 39 0.8× 5 299
Deepak Ailani 143 1.4× 63 0.8× 93 1.4× 89 1.7× 34 0.7× 8 257
Laura Domínguez 100 1.0× 70 0.9× 66 1.0× 134 2.5× 34 0.7× 15 294
Ashton J. Friend 202 2.0× 29 0.4× 61 0.9× 62 1.2× 61 1.2× 10 286
Ulrich Herget 135 1.3× 26 0.3× 50 0.7× 85 1.6× 95 1.8× 12 295
Magda Nowicki 232 2.3× 47 0.6× 76 1.1× 80 1.5× 39 0.8× 12 328
Hisaya Kakinuma 90 0.9× 82 1.1× 106 1.6× 103 1.9× 29 0.6× 10 253
Priscila Fernandes Silva 138 1.3× 52 0.7× 38 0.6× 31 0.6× 38 0.7× 18 294

Countries citing papers authored by Erin Song

Since Specialization
Citations

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

Fields of papers citing papers by Erin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erin Song

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