Zu‐De Xu

1.5k citations
28 papers · 1.3k indexed · h-index 19
Topics
Signaling Pathways in Disease (7 papers)Epigenetics and DNA Methylation (5 papers)Peptidase Inhibition and Analysis (5 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Zu‐De Xu

28 papers receiving 1.3k citations

Peers

Zu‐De Xu
Comparison fields: 5 of 87
  • Molecular Biology 968
  • Oncology 558
  • Cancer Research 307
  • Immunology 153
  • Cell Biology 109
Replace Daniele Lecis with:
Daniele Lecis Italy
Julie Litz United States
Puspa R. Pandey United States
Kang Jin Jeong United States
Diana J. Azzam United States
Xiaodong Tan China
Esther Castellano Spain
Wan-Ching Yen United States
Marianna Desideri Italy
Karsten Parczyk Germany
Zu‐De Xu relative to Daniele Lecis Italy Daniele Lecis's profile →
Citations per field
00.5×1.5×2.2×
Daniele Lecis · 1×
Citations per year

Countries citing papers authored by Zu‐De Xu

Since Specialization
Citations

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

Fields of papers citing papers by Zu‐De Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zu‐De Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Zu‐De Xu. A scholar is included among the top collaborators of Zu‐De 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 Zu‐De Xu. Zu‐De 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 10
2 32
3 39
4 8
5 27
6
[Relationship between breast cancer molecular subtypes with clinicopathological characteristics and prognosis].
2
7 42
8 55
9 286
10 64
11 16
12 48
13 55
14 51
15 55
16 3
17 18
18 95
19
Relationship Between the Expression of P-gp and that of CD147,MMPs in None Small Cell Lung Cancer
1
20
Effect of Allicin on the Telomerase Activity,Cyclooxygenase-2 and Nuclear Factor-kappa B of Colon Cancer Lovo Cell Line
1

About Zu‐De Xu

Zu‐De Xu is a scholar working on Microbiology, Oncology and Cancer Research, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (7 papers), Epigenetics and DNA Methylation (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Oncology (558 citations), Cancer Research (307 citations) and Molecular Biology (968 citations). Zu‐De Xu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qingquan Li, Xiuping Liu, Jingda Xu, Wenjuan Wang, Xi-Xi Cao, Feng Tang, Qi Chen, William N. Hait, Zhongqing Chen and Hao Wu. Their work appears in journals such as Journal of Biological Chemistry, Clinical Cancer Research and International Journal of Cancer.

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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