Xiaoli Du

837 citations
30 papers · 661 · h-index 12

Impact in

Papers in

Xiaoli Du

27 papers receiving 650 citations

Peers

Xiaoli Du
Comparison fields: 5 of 93
  • Cell Biology 167
  • Immunology and Allergy 48
  • Cancer Research 116
  • Oncology 207
  • Molecular Biology 388
Replace Robert Kubiak with:
Robert Kubiak Poland
Paula Vainio Finland
Michihiko Waki Japan
S. Curley United States
Martina Rahmeh Germany
Svein A. Carlsen Canada
Hirokazu Kurokawa Japan
Timothy Childs Canada
Katja Parapatics Austria
Mitzi Aguilar United States
Xiaoli Du relative to Robert Kubiak Poland Robert Kubiak's profile →
Citations per field
00.5×1.7×
Robert Kubiak · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Xiaoli Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoli Du Line = papers co-authored together Xiaoli Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007108
2 200899
3 201192
4 201181
5 201242
6 200733
7 201226
8 200725
9 201325
10 200723
11 202119
12 201412
13 20169
14 20219
15 20218
16 20228
17 20228
18 20217
19 20226
20
[Overexpression of p-Stat3 and Mcl-1, and their correlation with differentiation and apoptotic resistance in esophageal squamous cell carcinoma].
20134

About Xiaoli Du

Xiaoli Du is a scholar working on Molecular Biology, Cell Biology, Oncology, Physiology and Cancer Research, having authored 30 papers that have together received 661 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Lipid metabolism and biosynthesis (3 papers), MRI in cancer diagnosis (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cell Adhesion Molecules Research (2 papers) and Pharmaceutical studies and practices (2 papers). The work is most often cited by research in Cell Biology (167 citations), Immunology and Allergy (48 citations), Cancer Research (116 citations), Oncology (207 citations) and Molecular Biology (388 citations). Xiaoli Du has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yanbin Feng, Ming‐Rong Wang, Xiaoming Shen, Man‐Li Luo, Yaling Han, De‐Chen Lin, Alex G. Papageorge, William C. Vass, Qimin Zhan and Douglas R. Lowy. Their work appears in journals such as Biomolecules, Eukaryotic Cell, International Journal of Cancer, Clinical & Experimental Metastasis and Biology Open.

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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