Feifei Song

53 total papers · 1.3k total citations
14 papers, 159 citations indexed

About

Feifei Song is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Feifei Song has authored 14 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Feifei Song's work include CRISPR and Genetic Engineering (5 papers), Protease and Inhibitor Mechanisms (4 papers) and PARP inhibition in cancer therapy (3 papers). Feifei Song is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Protease and Inhibitor Mechanisms (4 papers) and PARP inhibition in cancer therapy (3 papers). Feifei Song collaborates with scholars based in United Kingdom, United States and Bulgaria. Feifei Song's co-authors include L. Jack Windsor, Naduparambil K. Jacob, Arnab Chakravarti, Claude J. Rogers, Marshleen Yadav, Agnès Lukaszewicz, Dragomir B. Krastev, James Campbell, Christopher J. Lord and Alan Ashworth and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Feifei Song

13 papers receiving 155 citations

Author Peers

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

Author Last Decade Papers Cites
Feifei Song 76 59 35 34 24 14 159
Ana R. Raimondi 127 1.7× 40 0.7× 82 2.3× 39 1.1× 12 0.5× 16 252
Rocío Corral 47 0.6× 37 0.6× 37 1.1× 45 1.3× 12 0.5× 14 218
Chieko Michikawa 124 1.6× 64 1.1× 97 2.8× 19 0.6× 5 0.2× 15 251
Qianru Huang 107 1.4× 32 0.5× 51 1.5× 28 0.8× 13 231
Jie Wang 53 0.7× 13 0.2× 43 1.2× 5 0.1× 14 0.6× 12 116
Cornelia G. F. van Lanschot 41 0.5× 14 0.2× 58 1.7× 28 0.8× 34 1.4× 12 247
Xinyue Luo 162 2.1× 110 1.9× 69 2.0× 6 0.2× 3 0.1× 17 288
Chandni Patel 96 1.3× 24 0.4× 41 1.2× 3 0.1× 5 0.2× 15 186
Hong Zhang 165 2.2× 157 2.7× 10 0.3× 7 0.2× 3 0.1× 11 265
Fan Fan 96 1.3× 14 0.2× 27 0.8× 4 0.1× 16 0.7× 19 225

Countries citing papers authored by Feifei Song

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feifei Song

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