Songran Liu

44 total papers · 536 total citations
28 papers, 324 citations indexed

About

Songran Liu is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Songran Liu has authored 28 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 10 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Songran Liu's work include Head and Neck Cancer Studies (6 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Cancer-related molecular mechanisms research (5 papers). Songran Liu is often cited by papers focused on Head and Neck Cancer Studies (6 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Cancer-related molecular mechanisms research (5 papers). Songran Liu collaborates with scholars based in China, United States and Hong Kong. Songran Liu's co-authors include Yalan Tao, Chen Qu, Yunfei Xia, Mian Xi, Sha Zhou, Hong Yang, Lei Zhao, Shiliang Liu, Wen‐Wen Zhang and Mengzhong Liu and has published in prestigious journals such as International Journal of Molecular Sciences, International Journal of Radiation Oncology*Biology*Physics and Frontiers in Immunology.

In The Last Decade

Songran Liu

26 papers receiving 321 citations

Author Peers

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

Author Last Decade Papers Cites
Songran Liu 144 105 91 78 74 28 324
Camilla Delli Paoli 135 0.9× 48 0.5× 112 1.2× 52 0.7× 38 0.5× 22 285
Yue‐Feng Wen 131 0.9× 85 0.8× 72 0.8× 115 1.5× 90 1.2× 17 337
Ruohao Fan 66 0.5× 67 0.6× 61 0.7× 107 1.4× 32 0.4× 32 354
Yuanhu Yao 77 0.5× 62 0.6× 66 0.7× 41 0.5× 46 0.6× 25 228
Zhining Yang 103 0.7× 65 0.6× 74 0.8× 102 1.3× 46 0.6× 23 317
Nian Lu 123 0.9× 36 0.3× 78 0.9× 64 0.8× 45 0.6× 33 283
Chukwuemeka Ikpeazu 185 1.3× 119 1.1× 143 1.6× 42 0.5× 64 0.9× 23 349
Hai‐Qiang Mai 133 0.9× 38 0.4× 84 0.9× 82 1.1× 51 0.7× 23 290
Jinming Yu 133 0.9× 79 0.8× 184 2.0× 43 0.6× 52 0.7× 25 321
Mária Gődény 104 0.7× 49 0.5× 60 0.7× 124 1.6× 26 0.4× 38 331

Countries citing papers authored by Songran Liu

Since Specialization
Citations

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

Fields of papers citing papers by Songran Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songran Liu

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