Da-Zhong Xu

14.5k citations
180 papers · 7.4k indexed · 1 hit paper · h-index 52

Da-Zhong Xu

174 papers receiving 7.2k citations

Hit Papers

MicroRNA-145, a Novel Smooth Muscle Cell Phenotypic Marke...5492009202620142020100200300400500

Peers

Da-Zhong Xu
Comparison fields: 5 of 138
  • Critical Care and Intensive Care Medicine 1.0k
  • Immunology 1.3k
  • Cancer Research 818
  • Emergency Medicine 522
  • Nutrition and Dietetics 809
Replace Mashkoor A. Choudhry with:
Mashkoor A. Choudhry United States
Alex B. Lentsch United States
Juan B. Ochoa United States
Akitoshi Ishizaka Japan
Eugen Faist Germany
Jie Fan United States
Keming Zhu China
Martin G. Schwacha United States
Peter R. Kvietys United States
Yong-ming Yao China
Da-Zhong Xu relative to Mashkoor A. Choudhry United States Mashkoor A. Choudhry's profile →
Citations per field
00.5×1.5×1.9×
Mashkoor A. Choudhry · 1×
Citations per year

Countries citing papers authored by Da-Zhong Xu

Since Specialization
Citations

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

Fields of papers citing papers by Da-Zhong Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Da-Zhong Xu, 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 Da-Zhong Xu Line = papers co-authored together Da-Zhong Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20179
4 201311
5 201248
6 200922
7 200713
8 200678
9 20061
10 2006114
11 200625
12 200676
13 200419
14 200454
15 200447
16 20039
17 200213
18 200260
19
[Dynamic study of anti-NS5 and ALT in post-transfusion hepatitis C].
19971
20 1994244

About Da-Zhong Xu

Da-Zhong Xu is a scholar working on Critical Care and Intensive Care Medicine, Immunology and Epidemiology, having authored 180 papers that have together received 7.4k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (42 papers), Immune Response and Inflammation (35 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (31 papers), Respiratory Support and Mechanisms (15 papers), Clinical Nutrition and Gastroenterology (13 papers), Cancer, Hypoxia, and Metabolism (9 papers), Cardiac Arrest and Resuscitation (9 papers) and Traumatic Brain Injury and Neurovascular Disturbances (8 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (1.0k citations), Immunology (1.3k citations) and Cancer Research (818 citations). Da-Zhong Xu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Edwin A. Deitch, Qi Lu, Charles A. Adams, Wei Dai, Louis J. Magnotti, John Kyriakis, F Y Liew, Jeffrey S. Upperman, Carl J. Hauser and Eleonora Feketeova. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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