Melissa Huang

796 total citations · 1 hit paper
5 papers, 394 citations indexed

About

Melissa Huang is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Melissa Huang has authored 5 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Melissa Huang's work include Alzheimer's disease research and treatments (4 papers), Neuroscience and Neural Engineering (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). Melissa Huang is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Neuroscience and Neural Engineering (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). Melissa Huang collaborates with scholars based in United Kingdom, United States and Japan. Melissa Huang's co-authors include Jennifer A. Macdonald, Michel Goedert, Isabelle Lavenir, Manuel Schweighauser, Wenjuan Zhang, Sofia Lövestam, Sew‐Yeu Peak‐Chew, Bernardino Ghetti, Sjors H. W. Scheres and Alexey G. Murzin and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Acta Neuropathologica.

In The Last Decade

Melissa Huang

4 papers receiving 392 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cryo-EM structures of amyloid-β 42 filaments from human brains

2022 310 citations Yang Yang, Diana Arseni et al. UCL Discovery (University College London) profile →

Peers

Melissa Huang

PHYSI

MB

NEURO

CTM

BIOMA

Cillian Byrne France

Christopher Kazu Williams United States

Ruitian Liu United States

Omar M. Kashmer United States

Tamta Arakhamia United States

Jason C. Sang United Kingdom

Dexter N. Dean United States

Marty A. Fernandez United States

Saskia J. Pollack United Kingdom

Clément Despres France

Cillian Byrne France

Melissa Huang

167 ×0.6

PHYSI

237 ×1.0

MB

33 ×0.6

NEURO

38 ×0.8

CTM

30 ×0.8

BIOMA

Citations per year, relative to Melissa Huang Melissa Huang (= 1×) peers Cillian Byrne

Countries citing papers authored by Melissa Huang

Since Specialization

Citations

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

Fields of papers citing papers by Melissa Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Huang

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Huang, Melissa & William A. McEwan. (2025). Sensitive detection and propagation of brain-derived tau assemblies in HEK293-based wild-type tau seeding assays. Journal of Biological Chemistry. 301(3). 108245–108245.

2.

Papa, Guido, Marina Vaysburd, Shi Cheng, et al.. (2024). Co-opting templated aggregation to degrade pathogenic tau assemblies and improve motor function. Cell. 187(21). 5967–5980.e17. 25 indexed citations

3.

Yang, Yang, Wenjuan Zhang, Alexey G. Murzin, et al.. (2023). Cryo-EM structures of amyloid-β filaments with the Arctic mutation (E22G) from human and mouse brains. Acta Neuropathologica. 145(3). 325–333. 49 indexed citations

4.

Huang, Melissa, Jennifer A. Macdonald, Isabelle Lavenir, et al.. (2022). Increase in Tau Pathology in P290SMaptKnock-In Mice Crossed withApp^NL-G-FMice. eNeuro. 9(6). ENEURO.0247–22.2022. 10 indexed citations

5.

Yang, Yang, Diana Arseni, Wenjuan Zhang, et al.. (2022). Cryo-EM structures of amyloid-β 42 filaments from human brains. UCL Discovery (University College London). 310 indexed citations breakdown →

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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