Melody Li

1.8k total citations · 1 hit paper
30 papers, 1.1k citations indexed

About

Melody Li is a scholar working on Molecular Biology, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Melody Li has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Psychiatry and Mental health and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Melody Li's work include Ion channel regulation and function (13 papers), Epilepsy research and treatment (10 papers) and Neuroscience and Neuropharmacology Research (9 papers). Melody Li is often cited by papers focused on Ion channel regulation and function (13 papers), Epilepsy research and treatment (10 papers) and Neuroscience and Neuropharmacology Research (9 papers). Melody Li collaborates with scholars based in Australia, United States and United Kingdom. Melody Li's co-authors include Steven Petrou, Samuel F. Berkovic, Ingrid E. Scheffer, Umesh Nair, Elena V. Gazina, Slavé Petrovski, Carol J. Milligan, David B. Goldstein, Christopher A. Reid and Saul A. Mullen and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Melody Li

27 papers receiving 1.1k citations

Hit Papers

Intrinsic Immunity Shapes Viral Resistance of Stem Cells 2017 2026 2020 2023 2017 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melody Li Australia 15 517 424 309 264 144 30 1.1k
Liesbet Deprez Belgium 17 485 0.9× 627 1.5× 412 1.3× 362 1.4× 145 1.0× 28 1.3k
Steffen Syrbe Germany 19 434 0.8× 366 0.9× 227 0.7× 152 0.6× 104 0.7× 76 1.2k
Chris Pappas United States 11 419 0.8× 309 0.7× 172 0.6× 257 1.0× 34 0.2× 18 921
Alison Gardner Australia 17 799 1.5× 339 0.8× 569 1.8× 225 0.9× 68 0.5× 30 1.6k
Johanna Uusimaa Finland 24 1.3k 2.6× 169 0.4× 194 0.6× 144 0.5× 145 1.0× 82 1.8k
Florin Tuluc United States 25 584 1.1× 129 0.3× 51 0.2× 400 1.5× 148 1.0× 45 1.5k
Marjan J. A. van Kempen Netherlands 20 1.1k 2.1× 176 0.4× 192 0.6× 150 0.6× 102 0.7× 27 1.5k
Bénédicte Héron France 23 527 1.0× 147 0.3× 148 0.5× 88 0.3× 554 3.8× 65 1.6k
Germán Morís Spain 20 409 0.8× 96 0.2× 207 0.7× 292 1.1× 205 1.4× 58 1.2k
Chiara Di Resta Italy 19 495 1.0× 92 0.2× 162 0.5× 156 0.6× 68 0.5× 63 1.1k

Countries citing papers authored by Melody Li

Since Specialization
Citations

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

Fields of papers citing papers by Melody Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melody Li

This figure shows the co-authorship network connecting the top 25 collaborators of Melody Li. A scholar is included among the top collaborators of Melody Li 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 Melody Li. Melody Li 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
1.
Li, Melody, et al.. (2025). Application of an imaging flow cytometry γ-H2AX assay for biodosimetry using supervised machine learning. International Journal of Radiation Biology. 1–10.
2.
Li, Melody, Alicia Sedó, Nikola Jancovski, et al.. (2024). Variant‐specific in vitro neuronal network phenotypes and drug sensitivity in SCN2A developmental and epileptic encephalopathy. Journal of Neurochemistry. 168(12). 3950–3961. 3 indexed citations
4.
Jancovski, Nikola, Kun Zhou, Steve G. Reid, et al.. (2024). Developmental dysfunction in a preclinical model of Kcnq2 developmental and epileptic encephalopathy. Neurobiology of Disease. 205. 106782–106782. 1 indexed citations
5.
Hatch, Robert J., Géza Berecki, Nikola Jancovski, et al.. (2023). Carbogen-Induced Respiratory Acidosis Blocks Experimental Seizures by a Direct and Specific Inhibition of NaV1.2 Channels in the Axon Initial Segment of Pyramidal Neurons. Journal of Neuroscience. 43(10). 1658–1667.
6.
Li, Melody, et al.. (2023). Scn2a insufficiency alters spontaneous neuronal Ca2+ activity in somatosensory cortex during wakefulness. iScience. 26(11). 108138–108138. 4 indexed citations
7.
Li, Melody, Yan Li, Suzanne E. Schindler, et al.. (2023). Design and feasibility of an Alzheimer's disease blood test study in a diverse community‐based population. Alzheimer s & Dementia. 19(12). 5387–5398. 3 indexed citations
8.
Bollinger, James G., Yan Li, Suzanne E. Schindler, et al.. (2022). The performance of plasma amyloid beta measurements in identifying amyloid plaques in Alzheimer’s disease: a literature review. Alzheimer s Research & Therapy. 14(1). 195–195. 79 indexed citations
9.
Li, Melody, Nikola Jancovski, Paymaan Jafar‐Nejad, et al.. (2022). Antisense oligonucleotide therapy for KCNT1 encephalopathy. JCI Insight. 7(23). 31 indexed citations
10.
Berecki, Géza, Melody Li, Mark A. Varney, et al.. (2019). Discovering the pharmacodynamics of conolidine and cannabidiol using a cultured neuronal network based workflow. Scientific Reports. 9(1). 121–121. 13 indexed citations
11.
Li, Melody, Vivien R. Schack, Ian C. Forster, et al.. (2018). Functional consequences of the CAPOS mutation E818K of Na+,K+-ATPase. Journal of Biological Chemistry. 294(1). 269–280. 8 indexed citations
12.
Numis, Adam L., Umesh Nair, Anita Datta, et al.. (2018). Lack of response to quinidine in KCNT1‐related neonatal epilepsy. Epilepsia. 59(10). 1889–1898. 45 indexed citations
13.
Wu, Xianfang, Viet Loan Dao Thi, Yu-Min Huang, et al.. (2017). Intrinsic Immunity Shapes Viral Resistance of Stem Cells. Cell. 172(3). 423–438.e25. 248 indexed citations breakdown →
14.
Tae, Han‐Shen, Kelly M. Smith, A. Marie Phillips, et al.. (2017). Gabapentin Modulates HCN4 Channel Voltage-Dependence. Frontiers in Pharmacology. 8. 554–554. 25 indexed citations
15.
Li, Melody, Snezana Maljevic, A. Marie Phillips, et al.. (2017). Gain-of-functionHCN2variants in genetic epilepsy. Human Mutation. 39(2). 202–209. 21 indexed citations
16.
Stark, Susan, Emily Somerville, Marian Keglovits, et al.. (2017). Protocol for the home hazards removal program (HARP) study: a pragmatic, randomized clinical trial and implementation study. BMC Geriatrics. 17(1). 90–90. 19 indexed citations
17.
Corbett, Mark, Susannah T. Bellows, Melody Li, et al.. (2016). DominantKCNA2mutation causes episodic ataxia and pharmacoresponsive epilepsy. Neurology. 87(19). 1975–1984. 67 indexed citations
18.
Li, Melody, Dana Jazayeri, Ben Corry, et al.. (2015). A functional correlate of severity in alternating hemiplegia of childhood. Neurobiology of Disease. 77. 88–93. 40 indexed citations
19.
Evans, Robin J., Peter M. Farrell, Jingchun Li, et al.. (2013). Consumer radar: Technology and limitations. RMIT Research Repository (RMIT University Library). 321. 21–26. 5 indexed citations
20.
Harris, T, et al.. (2012). Transforming growth factor‐β impairs glucocorticoid activity in the A549 lung adenocarcinoma cell line. British Journal of Pharmacology. 166(7). 2036–2048. 36 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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