Su Mei Wu

29 total papers · 555 total citations
24 papers, 475 citations indexed

About

Su Mei Wu is a scholar working on Health, Toxicology and Mutagenesis, Aquatic Science and Nutrition and Dietetics. According to data from OpenAlex, Su Mei Wu has authored 24 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Health, Toxicology and Mutagenesis, 8 papers in Aquatic Science and 6 papers in Nutrition and Dietetics. Recurrent topics in Su Mei Wu's work include Environmental Toxicology and Ecotoxicology (10 papers), Aquaculture Nutrition and Growth (7 papers) and Heavy Metal Exposure and Toxicity (7 papers). Su Mei Wu is often cited by papers focused on Environmental Toxicology and Ecotoxicology (10 papers), Aquaculture Nutrition and Growth (7 papers) and Heavy Metal Exposure and Toxicity (7 papers). Su Mei Wu collaborates with scholars based in Taiwan, China and Japan. Su Mei Wu's co-authors include Li‐Hsin Shu, Jiahao Liu, Yujen Tseng, Wen‐Der Wang, Ming‐Jiun Yu, Chien-Chu Lin, J. C. Hwang, P. P. Hwang, Jung‐Ren Chen and Ming‐Yi Chou and has published in prestigious journals such as The American Journal of Human Genetics, Aquaculture and Archives of Environmental Contamination and Toxicology.

In The Last Decade

Su Mei Wu

24 papers receiving 457 citations

Author Peers

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

Author						Papers	Cites
Su Mei Wu	295	135	101	98	89	24	475
S. Lemaire-Gony	367 1.2×	146 1.1×	81 0.8×	50 0.5×	117 1.3×	11	521
J.K. Pande	369 1.3×	154 1.1×	79 0.8×	34 0.3×	85 1.0×	25	533
Sam Penglase	235 0.8×	223 1.7×	56 0.6×	177 1.8×	60 0.7×	16	487
Arunthavarani Thiyagarajah	232 0.8×	71 0.5×	68 0.7×	48 0.5×	58 0.7×	29	483
Ole Jakob Nøstbakken	201 0.7×	144 1.1×	49 0.5×	80 0.8×	62 0.7×	22	437
Sofia Garcia-Santos	351 1.2×	184 1.4×	64 0.6×	29 0.3×	92 1.0×	13	514
Ankur Jamwal	231 0.8×	69 0.5×	37 0.4×	113 1.2×	44 0.5×	20	416
Robert Scott Carr	274 0.9×	85 0.6×	131 1.3×	33 0.3×	31 0.3×	22	508
P. W. A. Tovell	249 0.8×	157 1.2×	167 1.7×	29 0.3×	82 0.9×	11	509
Gail M. Dethloff	355 1.2×	140 1.0×	77 0.8×	39 0.4×	58 0.7×	14	551

Countries citing papers authored by Su Mei Wu

Since Specialization

Citations

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

Fields of papers citing papers by Su Mei Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Mei Wu

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