Dakang Xu

6.3k citations
89 papers · 4.4k indexed · 1 hit paper · h-index 36
Topics
Immune Cell Function and Interaction (14 papers)Epigenetics and DNA Methylation (11 papers)Cancer Immunotherapy and Biomarkers (10 papers)

In The Last Decade

Dakang Xu

85 papers receiving 4.4k citations

Hit Papers

Redefining Tumor-Associated Macrophage Subpopulations and...20202026202220242020100200300400

Peers

Dakang Xu
Comparison fields: 5 of 131
  • Molecular Biology 2.3k
  • Immunology 1.4k
  • Cancer Research 1.1k
  • Oncology 905
  • Pulmonary and Respiratory Medicine 437
Replace Francesca Zazzeroni with:
Francesca Zazzeroni Italy
Jochen Heß Germany
Andrew L. Doedens United States
Lingqiang Zhang China
Latifa Bakiri Austria
Xin Hong China
Takahiro Kodama Japan
Stan Krajewski United States
Paul Jedlicka United States
Marco J. Herold Australia
Dakang Xu relative to Francesca Zazzeroni Italy Francesca Zazzeroni's profile →
Citations per field
00.5×1.5×
Francesca Zazzeroni · 1×
Citations per year

Countries citing papers authored by Dakang Xu

Since Specialization
Citations

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

Fields of papers citing papers by Dakang Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dakang Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Dakang Xu. A scholar is included among the top collaborators of Dakang 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 Dakang Xu. Dakang 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
#WorkIndexed citations
1 0
2 9
3 16
4 1
5 14
6 31
7 36
8 53
9 12
10 61
11 8
12 9
13 22
14 153
15 60
16
Forecasting acute hypotensive episodes in intensive care patients based on a peripheral arterial blood pressure waveform
31
17 86
18 92
19 34
20 10

About Dakang Xu

Dakang Xu is a scholar working on Immunology, Oncology and Cancer Research, having authored 89 papers that have together received 4.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), Epigenetics and DNA Methylation (11 papers) and Cancer Immunotherapy and Biomarkers (10 papers). The work is most often cited by research in Cancer Research (1.1k citations), Immunology (1.4k citations) and Molecular Biology (2.3k citations). Dakang Xu has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Bryan R.G. Williams, Matthew R. Thompson, Xiangliang Yuan, Junping Liu, Peihua Ni, Michael P. Gantier, Kaiyue Wu, Xiaoyan Li, Mark A. Behlke and Die Wang. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

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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