Sanfang Tu

90 total papers · 1.7k total citations
52 papers, 849 citations indexed

About

Sanfang Tu is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Sanfang Tu has authored 52 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Oncology, 13 papers in Molecular Biology and 12 papers in Hematology. Recurrent topics in Sanfang Tu's work include CAR-T cell therapy research (27 papers), Virus-based gene therapy research (10 papers) and Hematopoietic Stem Cell Transplantation (8 papers). Sanfang Tu is often cited by papers focused on CAR-T cell therapy research (27 papers), Virus-based gene therapy research (10 papers) and Hematopoietic Stem Cell Transplantation (8 papers). Sanfang Tu collaborates with scholars based in China, United States and Chile. Sanfang Tu's co-authors include Yuhua Li, Xuan Zhou, Meifang Li, Huilin Tu, Xinjie Xu, Xiaoqian Liang, Qihang Sun, Zitong Chen, Xiaoli Zhang and Yu Liu and has published in prestigious journals such as Blood, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Sanfang Tu

50 papers receiving 843 citations

Author Peers

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

Author Last Decade Papers Cites
Sanfang Tu 567 297 198 166 154 52 849
Liqing Kang 700 1.2× 313 1.1× 186 0.9× 121 0.7× 203 1.3× 67 922
Yongxian Hu 468 0.8× 350 1.2× 200 1.0× 244 1.5× 106 0.7× 59 969
Armen Mardiros 684 1.2× 301 1.0× 285 1.4× 122 0.7× 239 1.6× 38 902
Kai Rejeski 731 1.3× 273 0.9× 138 0.7× 155 0.9× 159 1.0× 68 928
Mireya Paulina Velasquez 577 1.0× 216 0.7× 267 1.3× 155 0.9× 156 1.0× 42 771
Quanshun Wang 751 1.3× 285 1.0× 244 1.2× 175 1.1× 241 1.6× 63 1.0k
Veit Bücklein 647 1.1× 203 0.7× 278 1.4× 343 2.1× 128 0.8× 57 1.0k
Xiaoxi Zhou 571 1.0× 339 1.1× 210 1.1× 148 0.9× 107 0.7× 53 1.0k
Susanne Hofmann 458 0.8× 301 1.0× 283 1.4× 287 1.7× 125 0.8× 36 752
Tatsunori Goto 432 0.8× 215 0.7× 239 1.2× 150 0.9× 145 0.9× 48 717

Countries citing papers authored by Sanfang Tu

Since Specialization
Citations

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

Fields of papers citing papers by Sanfang Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanfang Tu

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