M L Wu

425 total citations
10 papers, 360 citations indexed

About

M L Wu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, M L Wu has authored 10 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in M L Wu's work include Ion channel regulation and function (7 papers), Neuroscience and Neuropharmacology Research (4 papers) and Cardiac electrophysiology and arrhythmias (4 papers). M L Wu is often cited by papers focused on Ion channel regulation and function (7 papers), Neuroscience and Neuropharmacology Research (4 papers) and Cardiac electrophysiology and arrhythmias (4 papers). M L Wu collaborates with scholars based in Taiwan and United Kingdom. M L Wu's co-authors include Richard D. Vaughan‐Jones, Min‐Lan Tsai, Yu-Jung Tseng, Ching‐Chow Chen, Yuan-Teh Lee, Seu-Mei Wang, Jiahn-Chun Wu, Wen Fu, Weihao Chen and Jiahn‐Chun Wu and has published in prestigious journals such as Journal of Neuroscience, Circulation Research and The Journal of Physiology.

In The Last Decade

M L Wu

10 papers receiving 349 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M L Wu Taiwan 9 252 138 118 81 38 10 360
Hajime Terada Japan 13 382 1.5× 304 2.2× 119 1.0× 158 2.0× 36 0.9× 26 536
Charles L. Hoppel United States 6 340 1.3× 67 0.5× 56 0.5× 90 1.1× 154 4.1× 7 505
Raphael Zahler United States 10 314 1.2× 183 1.3× 75 0.6× 25 0.3× 43 1.1× 15 440
Sajida Khan United States 12 216 0.9× 118 0.9× 66 0.6× 176 2.2× 195 5.1× 18 446
L Belardinelli United States 8 195 0.8× 262 1.9× 94 0.8× 39 0.5× 34 0.9× 18 439
S. Mondot France 10 224 0.9× 170 1.2× 110 0.9× 169 2.1× 186 4.9× 14 475
Celia Fernández‐Sanz Spain 14 440 1.7× 148 1.1× 53 0.4× 162 2.0× 73 1.9× 16 575
Mulugu V. Brahmajothi United States 11 480 1.9× 450 3.3× 177 1.5× 56 0.7× 112 2.9× 22 707
Aneta Czyż Poland 10 287 1.1× 40 0.3× 186 1.6× 76 0.9× 35 0.9× 16 374
Vladimir Ganitkevich Germany 12 345 1.4× 156 1.1× 159 1.3× 23 0.3× 77 2.0× 18 450

Countries citing papers authored by M L Wu

Since Specialization
Citations

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

Fields of papers citing papers by M L Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M L Wu

This figure shows the co-authorship network connecting the top 25 collaborators of M L Wu. A scholar is included among the top collaborators of M L 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 M L Wu. M L Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Chen, Weihao, et al.. (2001). Arachidonic acid‐induced H+ and Ca2+ increases in both the cytoplasm and nucleoplasm of rat cerebellar granule cells. The Journal of Physiology. 537(2). 497–510. 13 indexed citations
2.
Chen, Weihao, et al.. (1999). Early metabolic inhibition‐induced intracellular sodium and calcium increase in rat cerebellar granule cells. The Journal of Physiology. 515(1). 133–146. 23 indexed citations
3.
Wu, M L, et al.. (1998). Regulation of Presynaptic NMDA Responses by External and Intracellular pH Changes at Developing Neuromuscular Synapses. Journal of Neuroscience. 18(8). 2982–2990. 31 indexed citations
4.
Liaw, Y S, Pan‐Chyr Yang, Chong‐Jen Yu, et al.. (1997). Intracellular pH Regulation in Cultured Human Pleural Mesothelial Cells. American Journal of Respiratory and Critical Care Medicine. 155(2). 597–602. 3 indexed citations
5.
Wu, M L & Richard D. Vaughan‐Jones. (1997). Interaction Between Na+and H+Ions on Na–H Exchange in Sheep Cardiac Purkinje Fibers. Journal of Molecular and Cellular Cardiology. 29(4). 1131–1140. 28 indexed citations
6.
Wu, M L, et al.. (1996). Mechanism of Hydrogen Peroxide and Hydroxyl Free Radical–Induced Intracellular Acidification in Cultured Rat Cardiac Myoblasts. Circulation Research. 78(4). 564–572. 63 indexed citations
7.
Chen, Ching‐Chow & M L Wu. (1995). Protein kinase C isoform delta is involved in the stimulation of the Na(+)-H+ exchanger in C6 glioma cells.. Molecular Pharmacology. 48(6). 995–1003. 22 indexed citations
8.
Wu, M L & Richard D. Vaughan‐Jones. (1994). Effect of metabolic inhibitors and second messengers upon Na(+)‐H+ exchange in the sheep cardiac Purkinje fibre.. The Journal of Physiology. 478(2). 301–313. 45 indexed citations
9.
Wu, M L, Min‐Lan Tsai, & Yu-Jung Tseng. (1994). DIDS-sensitive pHi regulation in single rat cardiac myocytes in nominally HCO3-free conditions.. Circulation Research. 75(1). 123–132. 36 indexed citations
10.
Vaughan‐Jones, Richard D. & M L Wu. (1990). Extracellular H+ inactivation of Na(+)‐H+ exchange in the sheep cardiac Purkinje fibre.. The Journal of Physiology. 428(1). 441–466. 96 indexed citations

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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