Da Xu

4.5k total citations · 1 hit paper
71 papers, 2.1k citations indexed

About

Da Xu is a scholar working on Oncology, Molecular Biology and Hepatology. According to data from OpenAlex, Da Xu has authored 71 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Oncology, 25 papers in Molecular Biology and 23 papers in Hepatology. Recurrent topics in Da Xu's work include Hepatocellular Carcinoma Treatment and Prognosis (22 papers), Colorectal Cancer Treatments and Studies (12 papers) and Ferroptosis and cancer prognosis (10 papers). Da Xu is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (22 papers), Colorectal Cancer Treatments and Studies (12 papers) and Ferroptosis and cancer prognosis (10 papers). Da Xu collaborates with scholars based in China, Ethiopia and United States. Da Xu's co-authors include Ying Zhu, Qiongzhu Dong, Ze Zhang, Baocai Xing, Yan Zheng, Lun–Xiu Qin, Kun Wang, Lu Lu, Peijun Zhou and Hu‐Liang Jia and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Da Xu

68 papers receiving 2.1k citations

Hit Papers

Disruption of tumour-associated macrophage trafficking by... 2019 2026 2021 2023 2019 100 200 300

Peers

Da Xu
Comparison fields: 5 of 110
  • Molecular Biology 839
  • Oncology 609
  • Cancer Research 592
  • Pulmonary and Respiratory Medicine 401
  • Immunology 379
Replace Zhuo Li with:
Zhuo Li China
Xiaodong Zhu China
Wei‐Hua Jia China
Erika Cecchin Italy
Vladislav Třeška Czechia
Yinying Lu China
Giovanni Schinzari Italy
Francesco Sabbatino Italy
Antonio Ghidini Italy
Till Braunschweig Germany
Zhuo Li China View profile →
Citations per field, relative to Da Xu
Da Xu · 1×
Citations per year, relative to Da Xu
Da Xu · 1×

Countries citing papers authored by Da Xu

Since Specialization
Citations

This map shows the geographic impact of Da 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 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 Xu more than expected).

Fields of papers citing papers by Da Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Da Xu. A scholar is included among the top collaborators of Da 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 Da Xu. Da 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
# Work Indexed citations
1 42
2 7
3 16
4 14
5 40
6 14
7 10
8 18
9 15
10 28
11 329
12 9
13 46
14 9
15
Application of a hybrid model in predicting the incidence of tuberculosis in a Chinese population
1
16 47
17 30
18 22
19 21
20
Applied anatomy of rat kidney transplantation
1

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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