Wenru Song

48 total papers · 5.2k total citations
33 papers, 3.8k citations indexed

About

Wenru Song is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, Wenru Song has authored 33 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 15 papers in Oncology and 12 papers in Genetics. Recurrent topics in Wenru Song's work include Immunotherapy and Immune Responses (16 papers), Virus-based gene therapy research (12 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Wenru Song is often cited by papers focused on Immunotherapy and Immune Responses (16 papers), Virus-based gene therapy research (12 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Wenru Song collaborates with scholars based in United States, China and Japan. Wenru Song's co-authors include Zihai Li, Delong Liu, Ronald G. Crystal, Lei Zheng, Drew A. Torigian, Dongguang Li, Weijing Sun, Robert H. Vonderheide, Gregory L. Beatty and Leslie L. Sharp and has published in prestigious journals such as Science, The Journal of Experimental Medicine and Blood.

In The Last Decade

Wenru Song

31 papers receiving 3.7k citations

Hit Papers

CD40 Agonists Alter Tumor... 2011 2026 2016 2021 2011 2021 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Wenru Song 2.1k 2.1k 1.2k 643 326 33 3.8k
Lydie Cassard 2.7k 1.3× 2.5k 1.2× 1.4k 1.2× 464 0.7× 301 0.9× 48 4.6k
Andrea Schietinger 3.1k 1.4× 3.4k 1.6× 1.2k 1.0× 347 0.5× 303 0.9× 41 5.0k
Nicole M. Haynes 2.3k 1.1× 2.6k 1.2× 1.1k 0.9× 519 0.8× 225 0.7× 58 4.2k
Paul Aebersold 2.8k 1.3× 2.7k 1.3× 1.6k 1.3× 1.3k 2.1× 251 0.8× 29 4.9k
Ainhoa Arina 2.3k 1.1× 2.7k 1.3× 1.1k 0.9× 234 0.4× 483 1.5× 50 4.2k
Anna Pasetto 3.3k 1.5× 2.7k 1.3× 948 0.8× 395 0.6× 221 0.7× 43 4.0k
Stéphane Depil 2.3k 1.1× 1.6k 0.7× 1.7k 1.4× 491 0.8× 275 0.8× 70 3.9k
John G. Frelinger 1.8k 0.9× 2.5k 1.2× 1.2k 1.0× 362 0.6× 475 1.5× 88 4.3k
Andrea Boni 2.2k 1.0× 1.9k 0.9× 1.6k 1.4× 362 0.6× 317 1.0× 54 4.3k
Kevin Gorski 2.4k 1.1× 2.9k 1.4× 1.0k 0.9× 1.0k 1.6× 390 1.2× 29 4.8k

Countries citing papers authored by Wenru Song

Since Specialization
Citations

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

Fields of papers citing papers by Wenru Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenru Song

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