Xunxiang Du

1.7k citations
10 papers · 1.4k indexed · 1 hit paper · h-index 9
Topics
Immune Cell Function and Interaction (4 papers)Stress Responses and Cortisol (2 papers)Cancer Cells and Metastasis (2 papers)
Partner nations
United States

In The Last Decade

Xunxiang Du

10 papers receiving 1.4k citations

Hit Papers

Mouse model of X–linked chronic granulomatous disease, an...19952026200520151995250500750

Peers

Xunxiang Du
Comparison fields: 5 of 96
  • Immunology 773
  • Molecular Biology 353
  • Oncology 276
  • Physiology 188
  • Epidemiology 158
Replace Naruhisa Ota with:
Naruhisa Ota United States
J Wietzerbin France
M Ströbel Germany
Tara Seshadri Canada
Ralph Gareus Germany
Ronald G. Gill United States
Catherine Bruyns Belgium
W O Weigle United States
Asako Chiba Japan
Xunxiang Du relative to Naruhisa Ota United States Naruhisa Ota's profile →
Citations per field
00.5×1.5×
Naruhisa Ota · 1×
Citations per year

Countries citing papers authored by Xunxiang Du

Since Specialization
Citations

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

Fields of papers citing papers by Xunxiang Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xunxiang Du

This figure shows the co-authorship network connecting the top 25 collaborators of Xunxiang Du. A scholar is included among the top collaborators of Xunxiang 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 Xunxiang Du. Xunxiang Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 13
2 18
3 38
4 313
5 47
6 51
7
Interleukin-11 prevents apoptosis and accelerates recovery of small intestinal mucosa in mice treated with combined chemotherapy and radiation.
162
8 1
9
Mouse model of X–linked chronic granulomatous disease, an inherited defect in phagocyte superoxide productionbreakdown →
792
10 9

About Xunxiang Du

Xunxiang Du is a scholar working on Behavioral Neuroscience, Gastroenterology and Immunology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Stress Responses and Cortisol (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Immunology (773 citations), Neurology (100 citations) and Hematology (119 citations). Xunxiang Du has collaborated with scholars based in United States. Frequent co-authors include David A. Williams, Mary C. Dinauer, Jonathan Pollock, Jason S. Fisherman, Stuart H. Orkin, Claire M. Doerschuk, Attilio Orazi, Zhengyan Yang, Jay L. Grosfeld and David A. Williams. Their work appears in journals such as Nature Genetics, Blood and Gastroenterology.

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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