Xujun Song

11 total papers · 819 total citations
10 papers, 615 citations indexed

About

Xujun Song is a scholar working on Oncology, Epidemiology and Immunology. According to data from OpenAlex, Xujun Song has authored 10 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Epidemiology and 3 papers in Immunology. Recurrent topics in Xujun Song's work include Neuroendocrine Tumor Research Advances (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Neuroblastoma Research and Treatments (2 papers). Xujun Song is often cited by papers focused on Neuroendocrine Tumor Research Advances (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Neuroblastoma Research and Treatments (2 papers). Xujun Song collaborates with scholars based in China, Germany and United Kingdom. Xujun Song's co-authors include Yupei Zhao, Suli Zheng, Gang Yang, Guangbing Xiong, Taiping Zhang, Mengyu Feng, Lianfang Zheng, Lei You, Zhe Cao and Benno Traub and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Cancer Letters.

In The Last Decade

Xujun Song

10 papers receiving 611 citations

Author Peers

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

Author Last Decade Papers Cites
Xujun Song 277 172 146 103 95 10 615
Chong Zhou 124 0.4× 210 1.2× 72 0.5× 131 1.3× 40 0.4× 25 512
Tobias Stöger 239 0.9× 285 1.7× 116 0.8× 32 0.3× 68 0.7× 10 685
Sunhwa Oh 171 0.6× 397 2.3× 72 0.5× 216 2.1× 39 0.4× 19 685
Sameera Nallanthighal 218 0.8× 286 1.7× 56 0.4× 161 1.6× 93 1.0× 13 693
Christin E. Petre 220 0.8× 280 1.6× 30 0.2× 93 0.9× 55 0.6× 7 627
Jie Yin 105 0.4× 308 1.8× 41 0.3× 111 1.1× 40 0.4× 16 566
Yuan-Hua Wu 209 0.8× 154 0.9× 92 0.6× 68 0.7× 38 0.4× 17 537
Thomas Wüest 266 1.0× 309 1.8× 230 1.6× 117 1.1× 19 0.2× 13 689
Guoqiang Hua 162 0.6× 354 2.1× 139 1.0× 59 0.6× 96 1.0× 21 681
Maria Kovalenko 157 0.6× 149 0.9× 77 0.5× 142 1.4× 50 0.5× 23 503

Countries citing papers authored by Xujun Song

Since Specialization
Citations

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

Fields of papers citing papers by Xujun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xujun Song

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