Xiaojun Chen

4.7k total citations
201 papers, 3.0k citations indexed

About

Xiaojun Chen is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, Xiaojun Chen has authored 201 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Obstetrics and Gynecology, 76 papers in Reproductive Medicine and 47 papers in Molecular Biology. Recurrent topics in Xiaojun Chen's work include Endometrial and Cervical Cancer Treatments (78 papers), Ovarian cancer diagnosis and treatment (52 papers) and Endometriosis Research and Treatment (30 papers). Xiaojun Chen is often cited by papers focused on Endometrial and Cervical Cancer Treatments (78 papers), Ovarian cancer diagnosis and treatment (52 papers) and Endometriosis Research and Treatment (30 papers). Xiaojun Chen collaborates with scholars based in China, United States and Japan. Xiaojun Chen's co-authors include Xuezhen Luo, Bingyi Yang, Xiaohua Wu, Weiwei Shan, Chengcheng Ning, Zhenbo Zhang, Youji Feng, Zheng Feng, Chao Gu and Xingzhu Ju and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaojun Chen

184 papers receiving 2.9k citations

Peers

Xiaojun Chen
Comparison fields: 5 of 139
  • Obstetrics and Gynecology 1.0k
  • Reproductive Medicine 992
  • Molecular Biology 933
  • Cancer Research 524
  • Oncology 501
Replace Masanori Kaneuchi with:
Masanori Kaneuchi Japan
Dong Hoon Suh South Korea
Hiroyuki Kuramoto Japan
Tilman T. Rau Germany
Stergios Boussios United Kingdom
Irma Virant‐Klun Slovenia
Dan Cacsire Castillo‐Tong Austria
Andrzej Semczuk Poland
Bei Lin China
Beata Smolarz Poland
Masanori Kaneuchi Japan View profile →
Citations per field, relative to Xiaojun Chen
Xiaojun Chen · 1×
Citations per year, relative to Xiaojun Chen
Xiaojun Chen · 1×

Countries citing papers authored by Xiaojun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Chen. A scholar is included among the top collaborators of Xiaojun Chen 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 Xiaojun Chen. Xiaojun Chen 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 0
2 0
3 0
4 1
5 1
6 1
7 4
8 6
9 8
10 7
11 3
12 3
13 10
14 1
15 3
16 50
17 47
18 45
19 61
20
High-dose irradiation in combination with toll-like receptor 9 agonist CpG oligodeoxynucleotide 7909 downregulates PD-L1 expression via the NF-κB signaling pathway in non-small cell lung cancer cells
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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