Sujuan Xi

1.0k total citations
22 papers, 710 citations indexed

About

Sujuan Xi is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Sujuan Xi has authored 22 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 7 papers in Oncology and 6 papers in Surgery. Recurrent topics in Sujuan Xi's work include Gastric Cancer Management and Outcomes (10 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Sujuan Xi is often cited by papers focused on Gastric Cancer Management and Outcomes (10 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Sujuan Xi collaborates with scholars based in China, United States and Germany. Sujuan Xi's co-authors include Yuming Jiang, Guoxin Li, Yanfeng Hu, Liying Zhao, Zhen Han, Jiang Yu, Tuanjie Li, Shirong Cai, Qingyu Yuan and Jingjing Xie and has published in prestigious journals such as Nature Communications, Gastroenterology and Clinical Cancer Research.

In The Last Decade

Sujuan Xi

21 papers receiving 700 citations

Peers

Sujuan Xi
Comparison fields: 5 of 77
  • Pulmonary and Respiratory Medicine 280
  • Radiology, Nuclear Medicine and Imaging 262
  • Oncology 236
  • Epidemiology 154
  • Surgery 128
Replace Maobin Meng with:
Maobin Meng China
Yoriaki Komeda Japan
Masashi Kono Japan
Mikhail Lisovsky United States
Hong Bu China
Javier Rodríguez Spain
Katsura Emoto Japan
Wei Qiang Leow Singapore
Wataru Takayama Japan
Maobin Meng China View profile →
Citations per field, relative to Sujuan Xi
Sujuan Xi · 1×
Citations per year, relative to Sujuan Xi
Sujuan Xi · 1×

Countries citing papers authored by Sujuan Xi

Since Specialization
Citations

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

Fields of papers citing papers by Sujuan Xi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujuan Xi

This figure shows the co-authorship network connecting the top 25 collaborators of Sujuan Xi. A scholar is included among the top collaborators of Sujuan Xi 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 Sujuan Xi. Sujuan Xi 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 1
2 3
3 62
4 54
5 8
6
Novel Hub genes co-expression network mediates dysfunction in a model of polycystic ovary syndrome.
5
7 37
8 49
9 108
10 7
11 13
12
Tubal ectopic pregnancy occurrence is associated with high expressions of prokineticin receptors and aberrant secretion of inflammatory cytokines.
7
13 2
14 12
15 74
16 118
17 103
18 6
19 1
20 35

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026