Long Xu

1.1k total citations · 1 hit paper
35 papers, 778 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 35 papers receiving a total of 778 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, Junping Wu, Kuan Li, Sihang Yu, Yuanxin Zhao, Qiuyang Zhang, Yu Li and Lina Zhou 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 768 citations

Hit Papers

Altered Lipid Metabolism in Recovered SARS Patients Twelv... 2017 2026 2020 2023 2017 100 200 300

Peers

Long Xu
Comparison fields: 5 of 103
  • Molecular Biology 324
  • Infectious Diseases 251
  • Neurology 164
  • Cancer Research 121
  • Immunology 92
Replace Xinping Yue with:
Xinping Yue United States
Shasha Zheng China
Sam Scanga Canada
Qin Yu China
Lisann Pelzl Germany
Frank Culicchia United States
James M. Gavin United States
Emmanuel E. Egom Canada
David Olivares Spain
Zai-Li Zhang China
Xinping Yue United States View profile →
Citations per field, relative to Long Xu
Long Xu · 1×
Citations per year, relative to Long Xu
Long Xu · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 0
5 5
6 33
7 6
8 16
9 1
10 25
11 21
12 19
13 10
14 9
15 30
16
Altered Lipid Metabolism in Recovered SARS Patients Twelve Years after Infection breakdown →
304
17 25
18 25
19 11
20 18

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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