Sanyun Wu

45 total papers · 580 total citations
20 papers, 290 citations indexed

About

Sanyun Wu is a scholar working on Hematology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Sanyun Wu has authored 20 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 9 papers in Molecular Biology and 4 papers in Infectious Diseases. Recurrent topics in Sanyun Wu's work include Acute Myeloid Leukemia Research (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Hematological disorders and diagnostics (2 papers). Sanyun Wu is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Hematological disorders and diagnostics (2 papers). Sanyun Wu collaborates with scholars based in China, United States and Taiwan. Sanyun Wu's co-authors include Ping Luo, Yalan Yu, Xuelan Zuo, Jiancheng Tu, Xinliang Ming, Shuo Li, Hsing‐Ching Kuo, Hubert Tsui, Fuling Zhou and Jingchao Wang and has published in prestigious journals such as Nature Communications, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Sanyun Wu

17 papers receiving 281 citations

Author Peers

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

Author						Papers	Cites
Sanyun Wu	125	79	51	49	48	20	290
Nicola Susca	110 0.9×	60 0.8×	37 0.7×	44 0.9×	82 1.7×	20	313
Yu Liu	73 0.6×	61 0.8×	98 1.9×	53 1.1×	38 0.8×	24	316
Junchang Zhang	117 0.9×	58 0.7×	35 0.7×	52 1.1×	71 1.5×	27	291
Vito Michele Garrisi	94 0.8×	57 0.7×	18 0.4×	20 0.4×	79 1.6×	16	256
Hee Won Cho	90 0.7×	66 0.8×	36 0.7×	61 1.2×	42 0.9×	31	279
Marina Sánchez‐Frías	144 1.2×	66 0.8×	48 0.9×	53 1.1×	42 0.9×	24	255
Man Fai Law	38 0.3×	42 0.5×	74 1.5×	73 1.5×	65 1.4×	22	234
Fumiya Yamashita	58 0.5×	28 0.4×	106 2.1×	84 1.7×	38 0.8×	19	269
Julien Boyer	81 0.6×	48 0.6×	64 1.3×	64 1.3×	67 1.4×	18	320
Sally L. George	106 0.8×	51 0.6×	46 0.9×	64 1.3×	115 2.4×	23	319

Countries citing papers authored by Sanyun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Sanyun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanyun Wu

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