Amelia Schroeder

1.7k citations
11 papers · 780 indexed · 2 hit papers · h-index 9
Topics
Single-cell and spatial transcriptomics (7 papers)Molecular Biology Techniques and Applications (3 papers)Gene expression and cancer classification (3 papers)

In The Last Decade

Amelia Schroeder

10 papers receiving 773 citations

Hit Papers

SpaGCN: Integrating gene expression, spatial location and...202120262022202420212024100200300400

Peers

Amelia Schroeder
Comparison fields: 5 of 85
  • Molecular Biology 646
  • Biophysics 133
  • Immunology 118
  • Cancer Research 88
  • Biomedical Engineering 41
Replace Holly Paddock with:
Holly Paddock United States
Adam McDermaid United States
Daniel Stöckel Germany
Qunhua Li United States
Lei Wei China
Kridsadakorn Chaichoompu Thailand
Dan J. Woodcock United Kingdom
Brandon Wong United States
Yungang Xu China
David S. Dougall United States
Amelia Schroeder relative to Holly Paddock United States Holly Paddock's profile →
Citations per field
00.5×10×17×
Holly Paddock · 1×
Citations per year

Countries citing papers authored by Amelia Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by Amelia Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amelia Schroeder

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2
Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histologybreakdown →
73
3 5
4 8
5 23
6 13
7 51
8
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional networkbreakdown →
450
9 55
10 71
11 31

About Amelia Schroeder

Amelia Schroeder is a scholar working on Biophysics, Ecological Modeling and Molecular Biology, having authored 11 papers that have together received 780 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Molecular Biology Techniques and Applications (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Biophysics (133 citations), Molecular Biology (646 citations) and Cancer Research (88 citations). Amelia Schroeder has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Mingyao Li, Jian Hu, Kyle Coleman, Edward B. Lee, Xiangjie Li, Russell T. Shinohara, David J. Irwin, Nan Ma, Michelle Y. Y. Lee and Benjamin J. Auerbach. Their work appears in journals such as Nature Communications, Nature Biotechnology and Nature Methods.

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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