Mei‐Yi Wu

133 total papers · 2.8k total citations
100 papers, 1.9k citations indexed

About

Mei‐Yi Wu is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Mei‐Yi Wu has authored 100 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Nephrology, 19 papers in Pulmonary and Respiratory Medicine and 18 papers in Surgery. Recurrent topics in Mei‐Yi Wu's work include Dialysis and Renal Disease Management (17 papers), Chronic Kidney Disease and Diabetes (11 papers) and Acute Kidney Injury Research (8 papers). Mei‐Yi Wu is often cited by papers focused on Dialysis and Renal Disease Management (17 papers), Chronic Kidney Disease and Diabetes (11 papers) and Acute Kidney Injury Research (8 papers). Mei‐Yi Wu collaborates with scholars based in Taiwan, United States and United Kingdom. Mei‐Yi Wu's co-authors include Yuh‐Feng Lin, Arthur L. Beaudet, Yung-Ho Hsu, Ka‐Wai Tam, Ting‐Fen Tsai, Mai-Szu Wu, Chih‐Hsiung Wu, Wei-Cheng Lo, Chung‐Shun Wong and Chyi-Huey Bai and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Mei‐Yi Wu

97 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Mei‐Yi Wu 530 428 231 228 225 100 1.9k
Peter Ridefelt 308 0.6× 507 1.2× 193 0.8× 303 1.3× 92 0.4× 80 1.7k
Emilio González‐Parra 251 0.5× 813 1.9× 204 0.9× 144 0.6× 177 0.8× 86 1.8k
Chia‐Chu Chang 287 0.5× 347 0.8× 193 0.8× 73 0.3× 163 0.7× 104 1.5k
Per‐Eric Evrin 500 0.9× 561 1.3× 348 1.5× 272 1.2× 300 1.3× 37 3.0k
Junne‐Ming Sung 305 0.6× 688 1.6× 271 1.2× 93 0.4× 79 0.4× 87 2.0k
David Modai 189 0.4× 434 1.0× 178 0.8× 147 0.6× 78 0.3× 116 1.8k
Kyu‐Beck Lee 352 0.7× 965 2.3× 327 1.4× 360 1.6× 147 0.7× 122 2.5k
G.M. Berlyne 241 0.5× 823 1.9× 170 0.7× 157 0.7× 315 1.4× 143 2.9k
Luca Zanoli 231 0.4× 203 0.5× 232 1.0× 228 1.0× 148 0.7× 88 1.7k
Kazimierz Ciechanowski 462 0.9× 541 1.3× 190 0.8× 339 1.5× 66 0.3× 241 2.4k

Countries citing papers authored by Mei‐Yi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Yi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei‐Yi Wu

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