Sujuan Xi

63 total papers · 1.0k total citations
22 papers, 691 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 691 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, Liying Zhao, Yanfeng Hu, Zhen Han, Jiang Yu, Tuanjie Li, Shirong Cai, Qingyu Yuan and Lei Huang and has published in prestigious journals such as Nature Communications, Gastroenterology and Clinical Cancer Research.

In The Last Decade

Sujuan Xi

21 papers receiving 681 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sujuan Xi	276	252	229	148	124	22	691
Yan Chen	295 1.1×	172 0.7×	259 1.1×	77 0.5×	97 0.8×	38	643
Maobin Meng	235 0.9×	118 0.5×	229 1.0×	89 0.6×	140 1.1×	45	768
Nobuhiro Ikuno	146 0.5×	97 0.4×	298 1.3×	155 1.0×	113 0.9×	19	659
E Lopez Hänninen	270 1.0×	133 0.5×	309 1.3×	72 0.5×	187 1.5×	24	701
Osamu Maenishi	115 0.4×	263 1.0×	304 1.3×	203 1.4×	92 0.7×	31	715
Michael Douek	273 1.0×	253 1.0×	84 0.4×	58 0.4×	163 1.3×	40	685
Na Cheng	106 0.4×	130 0.5×	141 0.6×	125 0.8×	75 0.6×	29	564
E Lopez-Hänninen	343 1.2×	76 0.3×	261 1.1×	66 0.4×	289 2.3×	24	646
Gustavo Reynoso	205 0.7×	207 0.8×	326 1.4×	97 0.7×	128 1.0×	28	708
Tobias R. Chapman	130 0.5×	157 0.6×	106 0.5×	260 1.8×	125 1.0×	22	754

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

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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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