Ming‐Ying Leung

855 total citations
41 papers, 597 citations indexed

About

Ming‐Ying Leung is a scholar working on Molecular Biology, Epidemiology and Plant Science. According to data from OpenAlex, Ming‐Ying Leung has authored 41 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 6 papers in Epidemiology and 6 papers in Plant Science. Recurrent topics in Ming‐Ying Leung's work include RNA and protein synthesis mechanisms (14 papers), Genomics and Phylogenetic Studies (13 papers) and Machine Learning in Bioinformatics (7 papers). Ming‐Ying Leung is often cited by papers focused on RNA and protein synthesis mechanisms (14 papers), Genomics and Phylogenetic Studies (13 papers) and Machine Learning in Bioinformatics (7 papers). Ming‐Ying Leung collaborates with scholars based in United States, Singapore and Australia. Ming‐Ying Leung's co-authors include Daniel Grosu, Anthony T. Chronopoulos, Samuel Karlin, Terence P. Speed, Kwok Pui Choi, Jonathon E. Mohl, Ghassan Ghandour, Macdonald Morris, Michela Taufer and B. Edwin Blaisdell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Ming‐Ying Leung

40 papers receiving 570 citations

Peers

Ming‐Ying Leung
Comparison fields: 5 of 101
  • Molecular Biology 292
  • Computer Networks and Communications 133
  • Information Systems 85
  • Artificial Intelligence 85
  • Genetics 46
Replace Fotis Psomopoulos with:
Fotis Psomopoulos Greece
Michael R. Crusoe United Kingdom
Hao Zhu China
Maria Emília M. T. Walter Brazil
S. Raghavan United States
Juan C. Pichel Spain
Gilles Bernot France
Charalampos Moschopoulos Greece
Zachary Stephens United States
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Citations per field, relative to Ming‐Ying Leung
Ming‐Ying Leung · 1×
Citations per year, relative to Ming‐Ying Leung
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Countries citing papers authored by Ming‐Ying Leung

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Ying Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Ying 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 Ming‐Ying Leung. The network helps show where Ming‐Ying Leung may publish in the future.

Co-authorship network of co-authors of Ming‐Ying Leung

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 5
3 9
4 17
5
Isoform Specific O-Glycosylation Prediction (ISOGlyP), Version 1.2
4
6 3
7 5
8 1
9 13
10 14
11 2
12 5
13 8
14 40
15 9
16 17
17 11
18 55
19 46
20 11

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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