Peter I. Song

68 total papers · 1.0k total citations
32 papers, 855 citations indexed

About

Peter I. Song is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Peter I. Song has authored 32 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Immunology and 9 papers in Oncology. Recurrent topics in Peter I. Song's work include Antimicrobial Peptides and Activities (8 papers), Immune Response and Inflammation (7 papers) and Cancer-related Molecular Pathways (6 papers). Peter I. Song is often cited by papers focused on Antimicrobial Peptides and Activities (8 papers), Immune Response and Inflammation (7 papers) and Cancer-related Molecular Pathways (6 papers). Peter I. Song collaborates with scholars based in United States, South Korea and Austria. Peter I. Song's co-authors include Yoonkyung Park, Cheryl A. Armstrong, Sunhyo Ryu, John C. Ansel, Chang‐Seob Seo, Hyeonsook Cheong, Brad Harten, Ramamourthy Gopal, Natalia Neparidze and Adam Zivony and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Peter I. Song

32 papers receiving 842 citations

Author Peers

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

Author Last Decade Papers Cites
Peter I. Song 386 224 202 120 94 32 855
Anne Müller 361 0.9× 277 1.2× 141 0.7× 56 0.5× 61 0.6× 20 825
Patrick A.M. Jansen 352 0.9× 230 1.0× 72 0.4× 268 2.2× 60 0.6× 33 895
Fu‐Gang Zhu 307 0.8× 657 2.9× 93 0.5× 41 0.3× 84 0.9× 36 969
Catherine Walker 313 0.8× 440 2.0× 43 0.2× 64 0.5× 78 0.8× 19 877
Yanbing Ma 331 0.9× 362 1.6× 90 0.4× 25 0.2× 64 0.7× 33 879
Mario Venza 358 0.9× 187 0.8× 36 0.2× 37 0.3× 60 0.6× 36 855
E. Ruuth 276 0.7× 249 1.1× 155 0.8× 30 0.3× 77 0.8× 32 899
Yuko Tsutsumi‐Ishii 426 1.1× 398 1.8× 410 2.0× 16 0.1× 128 1.4× 21 943
W. L. Epstein 305 0.8× 150 0.7× 30 0.1× 194 1.6× 115 1.2× 48 1.0k
Alicia R. Mathers 253 0.7× 511 2.3× 41 0.2× 192 1.6× 73 0.8× 22 979

Countries citing papers authored by Peter I. Song

Since Specialization
Citations

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

Fields of papers citing papers by Peter I. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter I. Song

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