Chengwei Song

76 total papers · 839 total citations
44 papers, 573 citations indexed

About

Chengwei Song is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Chengwei Song has authored 44 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 17 papers in Plant Science and 5 papers in Cancer Research. Recurrent topics in Chengwei Song's work include Plant Molecular Biology Research (9 papers), Plant Gene Expression Analysis (8 papers) and Plant Reproductive Biology (4 papers). Chengwei Song is often cited by papers focused on Plant Molecular Biology Research (9 papers), Plant Gene Expression Analysis (8 papers) and Plant Reproductive Biology (4 papers). Chengwei Song collaborates with scholars based in China, United States and Australia. Chengwei Song's co-authors include Peter R. Hoffmann, Jun Li, Yibo Zhang, Chenghui Zhu, Qinjie Ling, Tianfeng Chen, Shuimei Zhang, Wenjie Zheng, Zhi Huang and Chengjun Song and has published in prestigious journals such as Nature Communications, Advanced Functional Materials and PLANT PHYSIOLOGY.

In The Last Decade

Chengwei Song

34 papers receiving 564 citations

Author Peers

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

Author						Papers	Cites
Chengwei Song	223	161	123	62	49	44	573
Jelena Brkljačić	258 1.2×	113 0.7×	81 0.7×	26 0.4×	68 1.4×	46	646
Xiaohua Liu	274 1.2×	195 1.2×	45 0.4×	87 1.4×	36 0.7×	34	625
Mahshid Hodjat	202 0.9×	61 0.4×	34 0.3×	53 0.9×	31 0.6×	56	625
Baolei Guo	198 0.9×	123 0.8×	111 0.9×	38 0.6×	41 0.8×	22	602
Sainan Wang	340 1.5×	59 0.4×	91 0.7×	141 2.3×	26 0.5×	42	658
Hyeon‐Jeong Lee	244 1.1×	142 0.9×	44 0.4×	28 0.5×	101 2.1×	49	619
Dengke Li	364 1.6×	137 0.9×	23 0.2×	95 1.5×	25 0.5×	56	637
Chao Han	258 1.2×	111 0.7×	28 0.2×	55 0.9×	31 0.6×	39	646
Mohammad Saiful Islam	171 0.8×	199 1.2×	22 0.2×	29 0.5×	45 0.9×	53	654
Suleiman Alhaji Muhammad	204 0.9×	179 1.1×	35 0.3×	63 1.0×	44 0.9×	48	639

Countries citing papers authored by Chengwei Song

Since Specialization

Citations

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

Fields of papers citing papers by Chengwei Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengwei Song

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