Siying Wu

3.2k citations
119 papers · 2.2k · h-index 30

Impact in

Papers in

    • Genomics, phytochemicals, and oxidative stress 8
    • RNA modifications and cancer 7
    • Cancer-related molecular mechanisms research 10
    • MicroRNA in disease regulation 6

Siying Wu

113 papers receiving 2.2k citations

Peers

Siying Wu
Comparison fields: 5 of 165
  • Health, Toxicology and Mutagenesis 258
  • Cancer Research 226
  • General Health Professions 351
  • Research and Theory 12
  • Leadership and Management 15
Replace Angela Li with:
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Arindam Basu India
Ya–Wen Chen China
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Massimo Bracci Italy
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Siying Wu relative to Angela Li United States Angela Li's profile →
Citations per field
00.5×2.8×
Angela Li · 1×
Citations per year

Countries citing papers authored by Siying Wu

Since Specialization
Citations

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

Fields of papers citing papers by Siying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Siying Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Siying Wu Line = papers co-authored together Siying Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007213
2 2020100
3 201291
4 200763
5 201062
6 201557
7 200756
8 200653
9 201151
10 201950
11 201149
12 201749
13 201349
14 201145
15 202444
16 201238
17 202138
18 202036
19 202136
20 202035

About Siying Wu

Siying Wu is a scholar working on Molecular Biology, Cancer Research, General Health Professions, Plant Science and Sociology and Political Science, having authored 119 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Healthcare professionals’ stress and burnout (10 papers), Genomics, phytochemicals, and oxidative stress (8 papers), RNA modifications and cancer (7 papers), MicroRNA in disease regulation (6 papers), Pesticide Exposure and Toxicity (6 papers), Paraquat toxicity studies and treatments (5 papers) and Autophagy in Disease and Therapy (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (258 citations), Cancer Research (226 citations), General Health Professions (351 citations), Research and Theory (12 citations) and Leadership and Management (15 citations). Siying Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huangyuan Li, Wei Zhu, Mianzhen Wang, Huangyuan Li, Zhiming Wang, Shaowei Lin, Fuli Zheng, Huangyuan Li, Yajia Lan and Guangxia Yu. Their work appears in journals such as Ecotoxicology and Environmental Safety, Environmental Pollution, Toxicological Sciences, Frontiers in Public Health and Journal of Hazardous Materials.

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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