Melvyn Yap

970 total citations
8 papers, 608 citations indexed

About

Melvyn Yap is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Cognitive Neuroscience. According to data from OpenAlex, Melvyn Yap has authored 8 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Endocrine and Autonomic Systems and 2 papers in Cognitive Neuroscience. Recurrent topics in Melvyn Yap's work include Circadian rhythm and melatonin (4 papers), Neurobiology and Insect Physiology Research (4 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Melvyn Yap is often cited by papers focused on Circadian rhythm and melatonin (4 papers), Neurobiology and Insect Physiology Research (4 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Melvyn Yap collaborates with scholars based in Australia, United States and United Kingdom. Melvyn Yap's co-authors include Henry Brodaty, Lee‐Fay Low, Bruno van Swinderen, Bart van Alphen, Benjamin Kottler, Leonie Kirszenblat, Martyna Grabowska, Michael Troup, Paul J. Shaw and Ravi Allada and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Melvyn Yap

8 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Melvyn Yap Australia	7	251	210	173	156	93	8	608
Wei Qi China	14	224 0.9×	62 0.3×	37 0.2×	34 0.2×	105 1.1×	32	874
Miquel Aguilar Barberà Spain	11	96 0.4×	67 0.3×	25 0.1×	32 0.2×	67 0.7×	18	473
Louisa A. Stark United States	16	252 1.0×	15 0.1×	126 0.7×	106 0.7×	93 1.0×	65	941
Rachel Dvoskin United States	12	168 0.7×	15 0.1×	91 0.5×	78 0.5×	322 3.5×	21	1.1k
Benjamin D. Aronson United States	16	251 1.0×	544 2.6×	116 0.7×	9 0.1×	109 1.2×	38	1.4k
Shijun Yang China	11	129 0.5×	128 0.6×	55 0.3×	6 0.0×	147 1.6×	23	886
Mia C. DeFino United States	11	219 0.9×	21 0.1×	105 0.6×	33 0.2×	27 0.3×	16	616
David Dagan Israel	16	232 0.9×	9 0.0×	79 0.5×	40 0.3×	51 0.5×	43	715
David Osterbur United States	12	134 0.5×	76 0.4×	57 0.3×	10 0.1×	51 0.5×	17	613
Kellie S. Gross United States	8	126 0.5×	27 0.1×	17 0.1×	47 0.3×	145 1.6×	10	512

Countries citing papers authored by Melvyn Yap

Since Specialization

Citations

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

Fields of papers citing papers by Melvyn Yap

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melvyn Yap. 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 Melvyn Yap. The network helps show where Melvyn Yap may publish in the future.

Co-authorship network of co-authors of Melvyn Yap

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

All Works

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8 of 8 papers shown

1.

Yap, Melvyn, Rebecca L. Johnston, Lambros T. Koufariotis, et al.. (2023). Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology. Scientific Reports. 13(1). 7395–7395. 3 indexed citations

2.

Yap, Melvyn, Rebecca L. Johnston, Olga Kondrashova, et al.. (2021). Verifying explainability of a deep learning tissue classifier trained on RNA-seq data. Scientific Reports. 11(1). 2641–2641. 42 indexed citations

3.

Alphen, Bart van, et al.. (2021). A deep sleep stage in Drosophila with a functional role in waste clearance. Science Advances. 7(4). 57 indexed citations

4.

Troup, Michael, Melvyn Yap, Martyna Grabowska, et al.. (2018). Acute control of the sleep switch in Drosophila reveals a role for gap junctions in regulating behavioral responsiveness. eLife. 7. 28 indexed citations

5.

Yap, Melvyn, Martyna Grabowska, Michael Troup, et al.. (2017). Oscillatory brain activity in spontaneous and induced sleep stages in flies. Nature Communications. 8(1). 1815–1815. 78 indexed citations

6.

Alphen, Bart van, Melvyn Yap, Leonie Kirszenblat, Benjamin Kottler, & Bruno van Swinderen. (2013). A Dynamic Deep Sleep Stage inDrosophila. Journal of Neuroscience. 33(16). 6917–6927. 162 indexed citations

7.

Low, Lee‐Fay, Melvyn Yap, & Henry Brodaty. (2011). A systematic review of different models of home and community care services for older persons. BMC Health Services Research. 11(1). 93–93. 222 indexed citations

8.

Low, Lee‐Fay, Melvyn Yap, & Henry Brodaty. (2009). Will testing for apolipoprotein E assist in tailoring dementia risk reduction? A review. Neuroscience & Biobehavioral Reviews. 34(3). 408–437. 16 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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