Jane Y. Song

46 total papers · 1.1k total citations
21 papers, 774 citations indexed

About

Jane Y. Song is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Jane Y. Song has authored 21 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Surgery. Recurrent topics in Jane Y. Song's work include Hedgehog Signaling Pathway Studies (6 papers), Developmental Biology and Gene Regulation (5 papers) and Bone Metabolism and Diseases (3 papers). Jane Y. Song is often cited by papers focused on Hedgehog Signaling Pathway Studies (6 papers), Developmental Biology and Gene Regulation (5 papers) and Bone Metabolism and Diseases (3 papers). Jane Y. Song collaborates with scholars based in United States, Czechia and Canada. Jane Y. Song's co-authors include Benjamin L. Allen, Deneen M. Wellik, Andrew P. McMahon, Frédéric Charron, Kyriel M. Pineault, Luisa Izzi, Jong-Sun Kang, Robert S. Krauss, Irene W. Althaus and Alexander M. Holtz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Jane Y. Song

18 papers receiving 769 citations

Author Peers

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

Author Last Decade Papers Cites
Jane Y. Song 539 149 109 100 86 21 774
Evan Snyder 431 0.8× 83 0.6× 55 0.5× 109 1.1× 119 1.4× 18 678
Eustacia Zellmer 295 0.5× 147 1.0× 95 0.9× 110 1.1× 137 1.6× 28 816
Paola Zordan 371 0.7× 87 0.6× 57 0.5× 77 0.8× 73 0.8× 17 669
Jens Pohl 476 0.9× 149 1.0× 94 0.9× 75 0.8× 167 1.9× 28 909
Ksenia Orlova 411 0.8× 212 1.4× 94 0.9× 38 0.4× 89 1.0× 21 774
Isabella Torrente 413 0.8× 228 1.5× 67 0.6× 148 1.5× 68 0.8× 48 870
Sara Hardy 519 1.0× 67 0.4× 85 0.8× 80 0.8× 111 1.3× 36 788
Annick Francis 495 0.9× 125 0.8× 109 1.0× 54 0.5× 80 0.9× 16 798
Chiemi Takenaka 482 0.9× 92 0.6× 128 1.2× 106 1.1× 34 0.4× 23 726
Éva Gömöri 215 0.4× 82 0.6× 71 0.7× 79 0.8× 94 1.1× 33 658

Countries citing papers authored by Jane Y. Song

Since Specialization
Citations

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

Fields of papers citing papers by Jane Y. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Y. Song

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