Madeline H. Cooper

653 total citations
7 papers, 190 citations indexed

About

Madeline H. Cooper is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Madeline H. Cooper has authored 7 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Cell Biology. Recurrent topics in Madeline H. Cooper's work include Neurogenesis and neuroplasticity mechanisms (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). Madeline H. Cooper is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). Madeline H. Cooper collaborates with scholars based in United States, Germany and Belgium. Madeline H. Cooper's co-authors include Stephen Lenzini, David Mooney, Sing Wan Wong, Jae‐Won Shin, J. Bradley Zuchero, Manasi Iyer, Mable Lam, Kathryn Wu, Rafael Almeida and Soheyla Gharib and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Journal of Neurochemistry.

In The Last Decade

Madeline H. Cooper

6 papers receiving 188 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madeline H. Cooper United States 6 55 47 46 45 33 7 190
Syed Faaiz Enam United States 8 67 1.2× 46 1.0× 43 0.9× 31 0.7× 36 1.1× 14 253
William Ong Singapore 10 142 2.6× 12 0.3× 59 1.3× 31 0.7× 28 0.8× 12 287
Alek Erickson Sweden 7 99 1.8× 15 0.3× 71 1.5× 55 1.2× 46 1.4× 10 258
Chani J. Hodonsky United States 10 99 1.8× 17 0.4× 16 0.3× 15 0.3× 41 1.2× 16 213
Amanda Hambrecht United States 6 100 1.8× 90 1.9× 52 1.1× 11 0.2× 33 1.0× 10 334
Federica Riccio United Kingdom 7 137 2.5× 12 0.3× 46 1.0× 38 0.8× 32 1.0× 8 243
Thong Teck Tan Singapore 9 217 3.9× 29 0.6× 46 1.0× 23 0.5× 36 1.1× 13 274
Vinton W.T. Cheng United Kingdom 9 49 0.9× 27 0.6× 101 2.2× 35 0.8× 49 1.5× 16 308
Е. В. Григорьева Russia 10 208 3.8× 43 0.9× 28 0.6× 24 0.5× 37 1.1× 46 309
Alexandra Mikhailova Finland 10 168 3.1× 20 0.4× 54 1.2× 13 0.3× 37 1.1× 12 399

Countries citing papers authored by Madeline H. Cooper

Since Specialization
Citations

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

Fields of papers citing papers by Madeline H. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madeline H. Cooper. 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 Madeline H. Cooper. The network helps show where Madeline H. Cooper may publish in the future.

Co-authorship network of co-authors of Madeline H. Cooper

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

All Works

7 of 7 papers shown
1.
Raasakka, Arne, Marcel Schröder, Shama Sograte‐Idrissi, et al.. (2024). Nanobodies against the myelin enzyme CNPase as tools for structural and functional studies. Journal of Neurochemistry. 169(1). e16274–e16274.
2.
Cooper, Madeline H., Laura Laprell, Ruiyang Bao, et al.. (2024). Optical Control of G-Actin with a Photoswitchable Latrunculin. Journal of the American Chemical Society. 146(13). 8895–8903. 10 indexed citations
3.
Iyer, Manasi, Madeline H. Cooper, Sammy Weiser Novak, et al.. (2024). Oligodendrocyte calcium signaling promotes actin-dependent myelin sheath extension. Nature Communications. 15(1). 265–265. 19 indexed citations
4.
Gard, Ashley L., Rebeccah J. Luu, Madeline H. Cooper, et al.. (2023). A high-throughput, 28-day, microfluidic model of gingival tissue inflammation and recovery. Communications Biology. 6(1). 92–92. 17 indexed citations
5.
Lam, Mable, Rafael Almeida, Madeline H. Cooper, et al.. (2022). CNS myelination requires VAMP2/3-mediated membrane expansion in oligodendrocytes. Nature Communications. 13(1). 5583–5583. 29 indexed citations
6.
Wong, Sing Wan, Stephen Lenzini, Madeline H. Cooper, David Mooney, & Jae‐Won Shin. (2020). Soft extracellular matrix enhances inflammatory activation of mesenchymal stromal cells to induce monocyte production and trafficking. Science Advances. 6(15). eaaw0158–eaaw0158. 96 indexed citations
7.
Francesconi, Maria, et al.. (2018). Community health workers on a college campus: Effects on influenza vaccination. Journal of American College Health. 66(4). 317–323. 19 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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