Angela Song

20 total papers · 1.1k total citations
13 papers, 445 citations indexed

About

Angela Song is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Angela Song has authored 13 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Angela Song's work include Nerve injury and regeneration (4 papers), Neuropeptides and Animal Physiology (4 papers) and Receptor Mechanisms and Signaling (3 papers). Angela Song is often cited by papers focused on Nerve injury and regeneration (4 papers), Neuropeptides and Animal Physiology (4 papers) and Receptor Mechanisms and Signaling (3 papers). Angela Song collaborates with scholars based in United States, Australia and China. Angela Song's co-authors include Xue‐Jun Song, Yuepeng Liu, Zhi‐Jiang Huang, Su Liu, Yankai Zhang, Yuan Han, Beth Barnes, Wentao Liu, Pingchuan Ma and Lars E. P. Dietrich and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Angela Song

11 papers receiving 441 citations

Author Peers

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

Author Last Decade Papers Cites
Angela Song 209 192 189 32 31 13 445
J. Ridings 183 0.9× 102 0.5× 135 0.7× 57 1.8× 38 1.2× 13 462
Leif Dahllund 142 0.7× 275 1.4× 101 0.5× 18 0.6× 12 0.4× 12 429
Christopher W. Murray 152 0.7× 197 1.0× 143 0.8× 11 0.3× 19 0.6× 14 388
Staffan Hildebrand 113 0.5× 196 1.0× 86 0.5× 19 0.6× 30 1.0× 18 418
Wendy Kleibeuker 129 0.6× 198 1.0× 107 0.6× 13 0.4× 22 0.7× 10 381
D G Walker 146 0.7× 147 0.8× 66 0.3× 51 1.6× 29 0.9× 9 485
Daniela S. Arroyo 81 0.4× 142 0.7× 58 0.3× 57 1.8× 39 1.3× 13 493
Jayne M. Bernanke 85 0.4× 173 0.9× 150 0.8× 25 0.8× 15 0.5× 16 465
Michelle E. Edye 102 0.5× 152 0.8× 74 0.4× 16 0.5× 19 0.6× 11 429
Séverine Croze 145 0.7× 93 0.5× 55 0.3× 18 0.6× 21 0.7× 17 429

Countries citing papers authored by Angela Song

Since Specialization
Citations

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

Fields of papers citing papers by Angela Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Song

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