Siyuan Weng

103 total papers · 2.7k total citations
75 papers, 1.4k citations indexed

About

Siyuan Weng is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Siyuan Weng has authored 75 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 32 papers in Oncology and 29 papers in Cancer Research. Recurrent topics in Siyuan Weng's work include Ferroptosis and cancer prognosis (18 papers), Cancer Immunotherapy and Biomarkers (14 papers) and Cancer Genomics and Diagnostics (11 papers). Siyuan Weng is often cited by papers focused on Ferroptosis and cancer prognosis (18 papers), Cancer Immunotherapy and Biomarkers (14 papers) and Cancer Genomics and Diagnostics (11 papers). Siyuan Weng collaborates with scholars based in China, United Kingdom and United States. Siyuan Weng's co-authors include Xinwei Han, Zaoqu Liu, Hui Xu, Yuyuan Zhang, Long Liu, Chunguang Guo, Libo Wang, Qin Dang, Yuqing Ren and Taoyuan Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Siyuan Weng

71 papers receiving 1.4k citations

Hit Papers

Machine learning-based in... 2022 2026 2023 2024 2022 2023 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
Siyuan Weng 689 515 501 434 297 75 1.4k
Qin Dang 889 1.3× 548 1.1× 419 0.8× 666 1.5× 246 0.8× 51 1.6k
Mariko Asaoka 794 1.2× 399 0.8× 766 1.5× 508 1.2× 347 1.2× 64 1.8k
Yong Wha Moon 650 0.9× 678 1.3× 909 1.8× 335 0.8× 297 1.0× 69 1.8k
Jindong Xie 1.1k 1.5× 562 1.1× 568 1.1× 631 1.5× 305 1.0× 54 1.7k
Yiwei Huang 783 1.1× 736 1.4× 608 1.2× 518 1.2× 212 0.7× 67 1.7k
Vassiliki Tzelepi 731 1.1× 671 1.3× 413 0.8× 387 0.9× 129 0.4× 73 1.7k
Mang Xiao 727 1.1× 266 0.5× 343 0.7× 299 0.7× 335 1.1× 58 1.6k
Zhenfa Zhang 447 0.6× 453 0.9× 396 0.8× 309 0.7× 150 0.5× 88 1.1k
Soo‐Ryum Yang 614 0.9× 479 0.9× 521 1.0× 370 0.9× 219 0.7× 39 1.3k
Zongwu Lin 595 0.9× 526 1.0× 336 0.7× 293 0.7× 193 0.6× 61 1.3k

Countries citing papers authored by Siyuan Weng

Since Specialization
Citations

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

Fields of papers citing papers by Siyuan Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyuan Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Siyuan Weng. A scholar is included among the top collaborators of Siyuan Weng 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 Siyuan Weng. Siyuan Weng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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