Guangwen Long

13 total papers · 819 total citations
10 papers, 694 citations indexed

About

Guangwen Long is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Guangwen Long has authored 10 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Guangwen Long's work include MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (5 papers). Guangwen Long is often cited by papers focused on MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (5 papers). Guangwen Long collaborates with scholars based in China, Spain and United States. Guangwen Long's co-authors include Dao Wen Wang, Chen Chen, Yan Wang, Sandip Chaugai, Feng Wang, Fuqiong Chen, Quanlu Duan, Shenglan Yang, Wei Gong and Chunxia Zhao and has published in prestigious journals such as PLoS ONE, The Journals of Gerontology Series A and Journal of Translational Medicine.

In The Last Decade

Guangwen Long

9 papers receiving 682 citations

Author Peers

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

Author Last Decade Papers Cites
Guangwen Long 540 516 89 45 39 10 694
Yujie Li 546 1.0× 602 1.2× 90 1.0× 34 0.8× 42 1.1× 13 731
Raissa G. Ludwig 544 1.0× 405 0.8× 49 0.6× 61 1.4× 71 1.8× 7 730
Gabriele Santini 405 0.8× 374 0.7× 54 0.6× 29 0.6× 45 1.2× 10 582
Huaner Ni 582 1.1× 368 0.7× 81 0.9× 43 1.0× 142 3.6× 13 714
Hengxun Hu 456 0.8× 260 0.5× 84 0.9× 62 1.4× 50 1.3× 6 579
Yan Wang 511 0.9× 357 0.7× 101 1.1× 27 0.6× 39 1.0× 16 618
Qingju Li 435 0.8× 263 0.5× 83 0.9× 79 1.8× 33 0.8× 11 570
Chuling Li 613 1.1× 398 0.8× 105 1.2× 17 0.4× 65 1.7× 12 740
Meiqian Xu 430 0.8× 283 0.5× 31 0.3× 49 1.1× 74 1.9× 9 588
Biagina Maimone 413 0.8× 366 0.7× 61 0.7× 38 0.8× 44 1.1× 14 622

Countries citing papers authored by Guangwen Long

Since Specialization
Citations

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

Fields of papers citing papers by Guangwen Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangwen Long

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