Xiaoli Du

837 total citations
30 papers, 661 citations indexed

About

Xiaoli Du is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Xiaoli Du has authored 30 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cell Biology and 4 papers in Oncology. Recurrent topics in Xiaoli Du's work include Adipose Tissue and Metabolism (4 papers), MRI in cancer diagnosis (3 papers) and Lipid metabolism and biosynthesis (3 papers). Xiaoli Du is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), MRI in cancer diagnosis (3 papers) and Lipid metabolism and biosynthesis (3 papers). Xiaoli Du collaborates with scholars based in China, United States and Germany. Xiaoli Du's co-authors include Yanbin Feng, Ming‐Rong Wang, Man‐Li Luo, Xiaoming Shen, Yaling Han, De‐Chen Lin, Alex G. Papageorge, William C. Vass, Douglas R. Lowy and Xiaolan Qian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Gastroenterology.

In The Last Decade

Xiaoli Du

27 papers receiving 650 citations

Peers

Xiaoli Du
Comparison fields: 5 of 93
  • Molecular Biology 388
  • Oncology 207
  • Cell Biology 167
  • Cancer Research 116
  • Pulmonary and Respiratory Medicine 101
Replace Timothy Childs with:
Timothy Childs Canada
Fumi Kinose United States
Xuening Ji China
Paul Tapang United States
Robert Kubiak Poland
Michihiko Waki Japan
Rezina Arju United States
H.H. Sedlacek Austria
Hima Patel United States
Paula Vainio Finland
Timothy Childs Canada View profile →
Citations per field, relative to Xiaoli Du
Xiaoli Du · 1×
Citations per year, relative to Xiaoli Du
Xiaoli Du · 1×

Countries citing papers authored by Xiaoli Du

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Du

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Du. A scholar is included among the top collaborators of Xiaoli Du 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 Xiaoli Du. Xiaoli Du 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 0
2 8
3 8
4 8
5 1
6 7
7 4
8 4
9 3
10 9
11 12
12
[Overexpression of p-Stat3 and Mcl-1, and their correlation with differentiation and apoptotic resistance in esophageal squamous cell carcinoma].
4
13 42
14 26
15 81
16 99
17 25
18 108
19 33
20 23

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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