Xinxin Shu

12 total papers · 1.1k total citations
11 papers, 682 citations indexed

About

Xinxin Shu is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Xinxin Shu has authored 11 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Molecular Biology. Recurrent topics in Xinxin Shu's work include Cancer Immunotherapy and Biomarkers (10 papers), CAR-T cell therapy research (6 papers) and Lung Cancer Treatments and Mutations (3 papers). Xinxin Shu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), CAR-T cell therapy research (6 papers) and Lung Cancer Treatments and Mutations (3 papers). Xinxin Shu collaborates with scholars based in United States, New Zealand and Australia. Xinxin Shu's co-authors include Joshua Bauml, Stephen V. Liu, Ammar Sukari, Steven Powell, Erminia Massarelli, David G. Pfister, Nabil F. Saba, Francis P. Worden, Lori J. Wirth and Michael K. Gibson and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Annals of Oncology.

In The Last Decade

Xinxin Shu

11 papers receiving 678 citations

Hit Papers

Pembrolizumab for Platinu... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Xinxin Shu 579 226 196 189 114 11 682
Amy Meister 547 0.9× 239 1.1× 136 0.7× 205 1.1× 103 0.9× 9 670
Andy Karabajakian 532 0.9× 244 1.1× 138 0.7× 162 0.9× 113 1.0× 19 673
Pradeep Thanigaimani 500 0.9× 172 0.8× 109 0.6× 176 0.9× 200 1.8× 11 663
Xiao-Jing Du 488 0.8× 192 0.8× 103 0.5× 159 0.8× 143 1.3× 9 668
Jeltje Schulten 332 0.6× 222 1.0× 70 0.4× 313 1.7× 172 1.5× 14 599
Belinda Akpeng 546 0.9× 123 0.5× 373 1.9× 195 1.0× 144 1.3× 8 777
Jean-Pascal H. Machiels 435 0.8× 185 0.8× 368 1.9× 162 0.9× 74 0.6× 6 701
Daffyd Thomas 429 0.7× 101 0.4× 270 1.4× 79 0.4× 75 0.7× 7 599
Marie Alt 542 0.9× 255 1.1× 148 0.8× 82 0.4× 118 1.0× 20 744
Nancy Y. Lee 305 0.5× 204 0.9× 169 0.9× 143 0.8× 136 1.2× 7 615

Countries citing papers authored by Xinxin Shu

Since Specialization
Citations

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

Fields of papers citing papers by Xinxin Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinxin Shu

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