Junwei Song

27 total papers · 1.1k total citations
17 papers, 700 citations indexed

About

Junwei Song is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Junwei Song has authored 17 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Junwei Song's work include Wnt/β-catenin signaling in development and cancer (5 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (4 papers). Junwei Song is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (5 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (4 papers). Junwei Song collaborates with scholars based in China, Singapore and United States. Junwei Song's co-authors include Jinrong Zhu, Libing Song, Li-Yun Gong, Geyan Wu, Lili Jiang, Jun Li, Zhanyao Tan, Lixue Cao, Shu‐Biao Wu and Jing Zhu and has published in prestigious journals such as Journal of Clinical Investigation, Oncogene and IEEE Transactions on Power Electronics.

In The Last Decade

Junwei Song

15 papers receiving 697 citations

Author Peers

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

Author Last Decade Papers Cites
Junwei Song 539 283 135 80 74 17 700
Yanmei Cui 451 0.8× 334 1.2× 136 1.0× 77 1.0× 68 0.9× 16 638
Jia‐Quan Qu 555 1.0× 328 1.2× 205 1.5× 79 1.0× 68 0.9× 17 752
Qiu‐Yan He 481 0.9× 274 1.0× 202 1.5× 77 1.0× 56 0.8× 19 669
Miaoxin Zhu 468 0.9× 315 1.1× 157 1.2× 82 1.0× 57 0.8× 16 684
Qicong Luo 458 0.8× 260 0.9× 152 1.1× 87 1.1× 52 0.7× 22 641
Chun-Cai Gu 633 1.2× 474 1.7× 153 1.1× 89 1.1× 72 1.0× 17 839
Jia Min Loo 458 0.8× 291 1.0× 174 1.3× 51 0.6× 61 0.8× 14 682
Francesco Talotta 616 1.1× 408 1.4× 169 1.3× 61 0.8× 67 0.9× 12 806
Huizhi Sun 474 0.9× 313 1.1× 188 1.4× 71 0.9× 75 1.0× 23 634
Peronne Joseph 496 0.9× 327 1.2× 147 1.1× 49 0.6× 59 0.8× 20 703

Countries citing papers authored by Junwei Song

Since Specialization
Citations

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

Fields of papers citing papers by Junwei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junwei Song

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