Sitong Wu

73 total papers · 651 total citations
41 papers, 340 citations indexed

About

Sitong Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sitong Wu has authored 41 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sitong Wu's work include Natural product bioactivities and synthesis (6 papers), Nanoplatforms for cancer theranostics (3 papers) and Advanced Neural Network Applications (3 papers). Sitong Wu is often cited by papers focused on Natural product bioactivities and synthesis (6 papers), Nanoplatforms for cancer theranostics (3 papers) and Advanced Neural Network Applications (3 papers). Sitong Wu collaborates with scholars based in China, Australia and United States. Sitong Wu's co-authors include Guodong Guo, Tianyi Wu, Jianwen Luo, Heye Zhang, Zhifan Gao, Zhi Liu, Shuo Li, Mingming Gong, Dayong Jin and Jiajia Zhou and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Nano Letters.

In The Last Decade

Sitong Wu

37 papers receiving 334 citations

Author Peers

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

Author						Papers	Cites
Sitong Wu	94	79	59	57	48	41	340
Samar Mohamed	53 0.6×	89 1.1×	69 1.2×	24 0.4×	33 0.7×	35	352
Dan Wang	31 0.3×	42 0.5×	70 1.2×	35 0.6×	43 0.9×	35	378
Marcos Gestal	45 0.5×	25 0.3×	32 0.5×	131 2.3×	24 0.5×	40	400
Yang Yu	68 0.7×	34 0.4×	19 0.3×	61 1.1×	66 1.4×	34	379
Bang Chen	64 0.7×	38 0.5×	33 0.6×	69 1.2×	92 1.9×	32	396
Jiafei Wang	80 0.9×	51 0.6×	22 0.4×	45 0.8×	9 0.2×	29	348
Chao Xin	71 0.8×	24 0.3×	25 0.4×	76 1.3×	26 0.5×	26	380
Lou Li	37 0.4×	62 0.8×	28 0.5×	57 1.0×	12 0.3×	55	369
Li Chen	57 0.6×	34 0.4×	25 0.4×	85 1.5×	10 0.2×	22	313
Lin Li	53 0.6×	28 0.4×	91 1.5×	21 0.4×	10 0.2×	59	397

Countries citing papers authored by Sitong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Sitong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sitong Wu

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