Amelia Schroeder

1.7k total citations · 2 hit papers
11 papers, 780 citations indexed

About

Amelia Schroeder is a scholar working on Molecular Biology, Biophysics and Nature and Landscape Conservation. According to data from OpenAlex, Amelia Schroeder has authored 11 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Biophysics and 1 paper in Nature and Landscape Conservation. Recurrent topics in Amelia Schroeder's work include Single-cell and spatial transcriptomics (7 papers), Molecular Biology Techniques and Applications (3 papers) and Gene expression and cancer classification (3 papers). Amelia Schroeder is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Molecular Biology Techniques and Applications (3 papers) and Gene expression and cancer classification (3 papers). Amelia Schroeder collaborates with scholars based in United States, Germany and Sweden. Amelia Schroeder's 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 and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Nature Methods.

In The Last Decade

Amelia Schroeder

10 papers receiving 773 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.

SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

2021 450 citations Jian Hu, Xiangjie Li et al. Nature Methods profile →
Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology

2024 73 citations Daiwei Zhang, Amelia Schroeder et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amelia Schroeder United States	9	646	133	118	88	41	11	780
Kridsadakorn Chaichoompu Thailand	9	666 1.0×	161 1.2×	114 1.0×	122 1.4×	21 0.5×	14	866
Fanny Perraudeau United States	6	618 1.0×	72 0.5×	61 0.5×	164 1.9×	12 0.3×	8	737
Lei Wei China	17	692 1.1×	44 0.3×	77 0.7×	106 1.2×	53 1.3×	76	993
Hisanori Kiryu Japan	15	949 1.5×	41 0.3×	35 0.3×	119 1.4×	9 0.2×	24	1.0k
Holly Paddock United States	7	311 0.5×	27 0.2×	46 0.4×	31 0.4×	28 0.7×	9	492
Adam McDermaid United States	11	465 0.7×	31 0.2×	52 0.4×	87 1.0×	18 0.4×	16	655
Dan Tenenbaum United States	5	592 0.9×	40 0.3×	53 0.4×	41 0.5×	29 0.7×	8	788
Yungang Xu China	14	477 0.7×	37 0.3×	22 0.2×	128 1.5×	27 0.7×	29	638
Danila Bredikhin Germany	5	546 0.8×	81 0.6×	62 0.5×	96 1.1×	20 0.5×	7	645
Xiuwei Zhang United States	11	318 0.5×	49 0.4×	75 0.6×	60 0.7×	6 0.1×	24	409

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

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11 of 11 papers shown

Schroeder, Amelia, Wei Li, Nadja Sachs, et al.. (2026). HistoSweep enables cellular-resolution tissue quality control for gigapixel images in digital pathology and spatial omics. bioRxiv (Cold Spring Harbor Laboratory).

Zhang, Daiwei, Amelia Schroeder, Hanying Yan, et al.. (2024). Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology. Nature Biotechnology. 42(9). 1372–1377. 73 indexed citations breakdown →

Dolezal, James M., Emma Dyer, Sara Kochanny, et al.. (2024). Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning. EBioMedicine. 107. 105276–105276. 5 indexed citations

Coleman, Kyle, Amelia Schroeder, & Mingyao Li. (2024). Unlocking the power of spatial omics with AI. Nature Methods. 21(8). 1378–1381. 8 indexed citations

Schroeder, Amelia, Jian Hu, Kejie Li, et al.. (2023). Leveraging spatial transcriptomics data to recover cell locations in single-cell RNA-seq with CeLEry. Nature Communications. 14(1). 4050–4050. 23 indexed citations

Coleman, Kyle, Jian Hu, Amelia Schroeder, Edward B. Lee, & Mingyao Li. (2023). SpaDecon: cell-type deconvolution in spatial transcriptomics with semi-supervised learning. Communications Biology. 6(1). 378–378. 13 indexed citations

Schroeder, Amelia, Kenong Su, Michelle Y. Y. Lee, et al.. (2022). A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation. Nature Machine Intelligence. 4(11). 940–952. 51 indexed citations

Hu, Jian, Xiangjie Li, Kyle Coleman, et al.. (2021). SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network. Nature Methods. 18(11). 1342–1351. 450 indexed citations breakdown →

Hu, Jian, Amelia Schroeder, Kyle Coleman, et al.. (2021). Statistical and machine learning methods for spatially resolved transcriptomics with histology. Computational and Structural Biotechnology Journal. 19. 3829–3841. 55 indexed citations

10.

Schroeder, Amelia, K. E. Belk, Corey D. Broeckling, et al.. (2019). Comparison of Machine Learning Algorithms for Predictive Modeling of Beef Attributes Using Rapid Evaporative Ionization Mass Spectrometry (REIMS) Data. Scientific Reports. 9(1). 5721–5721. 71 indexed citations

11.

Arceo‐Gómez, Gerardo, Amelia Schroeder, Tia‐Lynn Ashman, et al.. (2019). Global geographic patterns of heterospecific pollen receipt help uncover potential ecological and evolutionary impacts across plant communities worldwide. Scientific Reports. 9(1). 8086–8086. 31 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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