Songlin Ruan

50 total papers · 1.0k total citations
37 papers, 810 citations indexed

About

Songlin Ruan is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Songlin Ruan has authored 37 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 20 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Songlin Ruan's work include Plant Stress Responses and Tolerance (9 papers), Plant-Microbe Interactions and Immunity (5 papers) and Plant nutrient uptake and metabolism (5 papers). Songlin Ruan is often cited by papers focused on Plant Stress Responses and Tolerance (9 papers), Plant-Microbe Interactions and Immunity (5 papers) and Plant nutrient uptake and metabolism (5 papers). Songlin Ruan collaborates with scholars based in China, Saudi Arabia and United States. Songlin Ruan's co-authors include Huasheng Ma, Jiang Shi, Shuzhen Wang, Wenyue Chen, Xianping Fang, Haifeng Qian, Yaping Fu, Xingyi Guo, Weiming Hu and Jianxin X. Tong and has published in prestigious journals such as PLoS ONE, Journal of Hazardous Materials and Journal of Agricultural and Food Chemistry.

In The Last Decade

Songlin Ruan

37 papers receiving 799 citations

Author Peers

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

Author Last Decade Papers Cites
Songlin Ruan 523 401 87 59 41 37 810
Mahbubul A. F. Jalal 398 0.8× 272 0.7× 79 0.9× 29 0.5× 80 2.0× 36 819
Masami Nakazawa 236 0.5× 384 1.0× 48 0.6× 77 1.3× 27 0.7× 59 907
Qiong Zhang 757 1.4× 463 1.2× 47 0.5× 36 0.6× 43 1.0× 46 1.0k
Kieran Elborough 323 0.6× 613 1.5× 93 1.1× 51 0.9× 61 1.5× 23 985
Pawan Kumar Agrawal 295 0.6× 243 0.6× 38 0.4× 37 0.6× 25 0.6× 31 755
Ying Yin 321 0.6× 329 0.8× 45 0.5× 38 0.6× 30 0.7× 33 737
Sonia Dorion 517 1.0× 617 1.5× 33 0.4× 21 0.4× 49 1.2× 30 1.0k
Long Qu 392 0.7× 333 0.8× 138 1.6× 58 1.0× 21 0.5× 36 913
Di Wu 732 1.4× 510 1.3× 34 0.4× 46 0.8× 61 1.5× 34 1.0k
Fernanda Salvato 366 0.7× 375 0.9× 52 0.6× 25 0.4× 31 0.8× 29 742

Countries citing papers authored by Songlin Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Songlin Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songlin Ruan

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