Xiaolong Dong

53 total papers · 1.3k total citations
39 papers, 768 citations indexed

About

Xiaolong Dong is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Xiaolong Dong has authored 39 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Genetics. Recurrent topics in Xiaolong Dong's work include Insect Resistance and Genetics (9 papers), CRISPR and Genetic Engineering (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Xiaolong Dong is often cited by papers focused on Insect Resistance and Genetics (9 papers), CRISPR and Genetic Engineering (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Xiaolong Dong collaborates with scholars based in China and United States. Xiaolong Dong's co-authors include Erik J. Sontheimer, Wen Xue, Hongyu Zhang, Bin Liu, Chunwei Zheng, Dejun Li, Zexiang Chen, Xiaoxue Li, Cheng Lu and Min‐Hui Pan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Xiaolong Dong

37 papers receiving 758 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Xiaolong Dong 598 122 110 99 87 39 768
Zhengbing Lv 488 0.8× 71 0.6× 137 1.2× 106 1.1× 96 1.1× 65 819
Phaibul Punyarit 481 0.8× 162 1.3× 106 1.0× 128 1.3× 93 1.1× 34 841
Carlos J. Pérez 428 0.7× 49 0.4× 94 0.9× 89 0.9× 80 0.9× 29 774
Jianzhou Cui 389 0.7× 146 1.2× 106 1.0× 65 0.7× 99 1.1× 35 741
Han Yang 503 0.8× 99 0.8× 63 0.6× 87 0.9× 62 0.7× 42 840
Li Gao 556 0.9× 66 0.5× 76 0.7× 44 0.4× 140 1.6× 44 811
Jiayong Zhu 400 0.7× 33 0.3× 97 0.9× 64 0.6× 75 0.9× 50 669
James C. Robbins 302 0.5× 62 0.5× 147 1.3× 126 1.3× 24 0.3× 29 725
Urszula Jankowska 516 0.9× 69 0.6× 82 0.7× 25 0.3× 103 1.2× 52 831
Todd W. Markowski 406 0.7× 48 0.4× 124 1.1× 70 0.7× 50 0.6× 46 836

Countries citing papers authored by Xiaolong Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolong Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolong Dong

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