Long Xu

41 total papers · 1.1k total citations
34 papers, 773 citations indexed

About

Long Xu is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Long Xu has authored 34 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Epidemiology and 6 papers in Cancer Research. Recurrent topics in Long Xu's work include Autophagy in Disease and Therapy (7 papers), Cancer-related molecular mechanisms research (4 papers) and Epigenetics and DNA Methylation (3 papers). Long Xu is often cited by papers focused on Autophagy in Disease and Therapy (7 papers), Cancer-related molecular mechanisms research (4 papers) and Epigenetics and DNA Methylation (3 papers). Long Xu collaborates with scholars based in China and United States. Long Xu's co-authors include Jing Su, Qi Wu, Huaiyong Chen, Kuan Li, Junping Wu, Yuanxin Zhao, Sihang Yu, Peiyuan Yin, Lina Zhou and Xue Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Long Xu

32 papers receiving 763 citations

Hit Papers

Altered Lipid Metabolism ... 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Altered Lipid Metabolism in Recovered SARS Patients Twelve Years after Infection
    2017 305 citations Qi Wu, Lina Zhou et al. Scientific Reports profile →

Author Peers

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

Author Last Decade Papers Cites
Long Xu 320 252 164 121 88 34 773
Hesong Zeng 273 0.9× 133 0.5× 88 0.5× 91 0.8× 99 1.1× 38 728
Jiannan Wu 332 1.0× 112 0.4× 115 0.7× 111 0.9× 138 1.6× 51 720
Meng Nie 230 0.7× 92 0.4× 186 1.1× 77 0.6× 94 1.1× 38 663
Guohua Deng 143 0.4× 185 0.7× 92 0.6× 49 0.4× 147 1.7× 29 678
Lingyan Zhou 142 0.4× 151 0.6× 216 1.3× 38 0.3× 71 0.8× 47 691
Lijun Dai 386 1.2× 70 0.3× 152 0.9× 83 0.7× 70 0.8× 30 764
Agnese Petrera 309 1.0× 108 0.4× 41 0.3× 63 0.5× 86 1.0× 39 686
Ke‐Qiong Deng 366 1.1× 67 0.3× 55 0.3× 111 0.9× 138 1.6× 32 775
Christian Baumeier 242 0.8× 221 0.9× 90 0.5× 43 0.4× 171 1.9× 27 849
Frank Culicchia 381 1.2× 84 0.3× 106 0.6× 289 2.4× 47 0.5× 28 834

Countries citing papers authored by Long Xu

Since Specialization
Citations

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

Fields of papers citing papers by Long Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Long Xu. A scholar is included among the top collaborators of Long Xu 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 Long Xu. Long Xu 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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2026