Sujuan Xi

1.1k citations
21 papers · 818 · h-index 11

Impact in

Papers in

Sujuan Xi

20 papers receiving 807 citations

Peers

Sujuan Xi
Comparison fields: 5 of 68
  • Hepatology 98
  • Radiology, Nuclear Medicine and Imaging 184
  • Pulmonary and Respiratory Medicine 205
  • Oncology 160
  • Health Informatics 8
Replace Chih‐Yi Liao with:
Chih‐Yi Liao United States
Prantesh Jain United States
Pingzhen Guo United States
Ines Nikolovski United States
Lilan Zhao China
Silvia Girolama Drago Italy
Stéphanie Laurent Belgium
Jungsuk An South Korea
Zhendong Jin China
Eric Peltier France
Sujuan Xi relative to Chih‐Yi Liao United States Chih‐Yi Liao's profile →
Citations per field
00.5×2×4×5.4×
Chih‐Yi Liao · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sujuan Xi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sujuan Xi Line = papers co-authored together Sujuan Xi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020141
2 2018127
3 2018109
4 202382
5 201980
6 202370
7 202156
8 202146
9 201736
10 202015
11 201912
12
Tubal ectopic pregnancy occurrence is associated with high expressions of prokineticin receptors and aberrant secretion of inflammatory cytokines.
20209
13 20207
14 20247
15 20257
16 20205
17
Novel Hub genes co-expression network mediates dysfunction in a model of polycystic ovary syndrome.
20225
18 20192
19 20241
20 20251

About Sujuan Xi

Sujuan Xi is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Gastroenterology, having authored 21 papers that have together received 818 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (9 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Hepatitis B Virus Studies (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Hepatology (98 citations), Radiology, Nuclear Medicine and Imaging (184 citations), Pulmonary and Respiratory Medicine (205 citations), Oncology (160 citations) and Health Informatics (8 citations). Sujuan Xi has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yuming Jiang, Guoxin Li, Yanfeng Hu, Liying Zhao, Zhen Han, Jiang Yu, Tuanjie Li, Qingyu Yuan, Tuanjie Li and Shirong Cai. Their work appears in journals such as Journal of Cancer, Cell Reports Medicine, Theranostics, Cancer Immunology Research and Frontiers in Medicine.

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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