Michael K. Leung

28 total papers · 538 total citations
24 papers, 457 citations indexed

About

Michael K. Leung is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Michael K. Leung has authored 24 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 3 papers in Animal Science and Zoology. Recurrent topics in Michael K. Leung's work include Neuropeptides and Animal Physiology (16 papers), Neurobiology and Insect Physiology Research (9 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). Michael K. Leung is often cited by papers focused on Neuropeptides and Animal Physiology (16 papers), Neurobiology and Insect Physiology Research (9 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). Michael K. Leung collaborates with scholars based in United States, China and Myanmar. Michael K. Leung's co-authors include George B. Stefano, Berta Scharrer, Thomas V. Bilfinger, Margaret Murray, Thomas K. Hughes, Susanna Genedani, Maria Martha Bernardi, Claudio Franceschi, Enzo Ottaviani and Xiaohong Zhao and has published in prestigious journals such as Brain Research, Annals of the New York Academy of Sciences and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Michael K. Leung

24 papers receiving 440 citations

Author Peers

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

Author Last Decade Papers Cites
Michael K. Leung 292 141 64 64 52 24 457
Stephen C. Pryor 218 0.7× 135 1.0× 80 1.3× 88 1.4× 17 0.3× 26 514
Katherine J. Burton 240 0.8× 113 0.8× 85 1.3× 69 1.1× 44 0.8× 10 513
Martine Verger‐Bocquet 313 1.1× 124 0.9× 174 2.7× 45 0.7× 30 0.6× 25 540
Yu Ping Tang 150 0.5× 127 0.9× 49 0.8× 52 0.8× 21 0.4× 23 449
Paul B.J. Woodson 281 1.0× 179 1.3× 26 0.4× 19 0.3× 35 0.7× 22 480
N. S. Rama Krishna 252 0.9× 109 0.8× 46 0.7× 34 0.5× 25 0.5× 24 549
Luigi De Acetis 164 0.6× 79 0.6× 155 2.4× 57 0.9× 35 0.7× 24 467
Н. Г. Камышев 190 0.7× 122 0.9× 15 0.2× 25 0.4× 36 0.7× 46 412
Kelli A. Duncan 97 0.3× 86 0.6× 34 0.5× 21 0.3× 81 1.6× 19 475
Raise Ahmad 105 0.4× 153 1.1× 39 0.6× 58 0.9× 20 0.4× 25 546

Countries citing papers authored by Michael K. Leung

Since Specialization
Citations

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

Fields of papers citing papers by Michael K. Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael K. Leung. 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 Michael K. Leung. The network helps show where Michael K. Leung may publish in the future.

Co-authorship network of co-authors of Michael K. Leung

This figure shows the co-authorship network connecting the top 25 collaborators of Michael K. Leung. A scholar is included among the top collaborators of Michael K. Leung 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 Michael K. Leung. Michael K. Leung 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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2026