Su-Su Xie

34 total papers · 956 total citations
27 papers, 748 citations indexed

About

Su-Su Xie is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Su-Su Xie has authored 27 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pathology and Forensic Medicine, 10 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Su-Su Xie's work include Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Viral-associated cancers and disorders (5 papers). Su-Su Xie is often cited by papers focused on Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Viral-associated cancers and disorders (5 papers). Su-Su Xie collaborates with scholars based in United States, China and Taiwan. Su-Su Xie's co-authors include Russell R. Broaddus, Su-Ming Hsu, James A. Waldron, Pei‐Ling Hsu, Gregory L. Shipley, Hiroyuki Yoshida, Honami Naora, Wenjun Cheng, Roland L. Bassett and Matthew Schlumbrecht and has published in prestigious journals such as Cancer Research, American Journal of Obstetrics and Gynecology and Cancer Letters.

In The Last Decade

Su-Su Xie

26 papers receiving 733 citations

Author Peers

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

Author Last Decade Papers Cites
Su-Su Xie 306 278 198 124 100 27 748
Linda N. Dao 247 0.8× 205 0.7× 242 1.2× 68 0.5× 79 0.8× 29 713
Joya Pawade 148 0.5× 291 1.0× 182 0.9× 97 0.8× 124 1.2× 42 746
Shuangping Guo 183 0.6× 382 1.4× 188 0.9× 71 0.6× 83 0.8× 49 845
Daniela Stramazzotti 268 0.9× 197 0.7× 81 0.4× 204 1.6× 83 0.8× 43 893
Almudena Santón 355 1.2× 170 0.6× 474 2.4× 120 1.0× 66 0.7× 43 858
Sherif Rezk 387 1.3× 151 0.5× 274 1.4× 132 1.1× 89 0.9× 41 747
David K. McGregor 347 1.1× 164 0.6× 264 1.3× 48 0.4× 62 0.6× 15 750
Jessica Van Ziffle 226 0.7× 194 0.7× 73 0.4× 109 0.9× 56 0.6× 41 741
A. Psyrri 300 1.0× 188 0.7× 160 0.8× 42 0.3× 68 0.7× 23 813
Gyeong Sin Park 205 0.7× 282 1.0× 122 0.6× 66 0.5× 79 0.8× 40 719

Countries citing papers authored by Su-Su Xie

Since Specialization
Citations

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

Fields of papers citing papers by Su-Su Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su-Su Xie. 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 Su-Su Xie. The network helps show where Su-Su Xie may publish in the future.

Co-authorship network of co-authors of Su-Su Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Su-Su Xie. A scholar is included among the top collaborators of Su-Su Xie 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 Su-Su Xie. Su-Su Xie 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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