Aislyn Schalck

2.5k total citations · 1 hit paper
7 papers, 794 citations indexed

About

Aislyn Schalck is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Aislyn Schalck has authored 7 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Aislyn Schalck's work include Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Aislyn Schalck is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Aislyn Schalck collaborates with scholars based in United States and China. Aislyn Schalck's co-authors include Tod D. Casasent, Nicholas E. Navin, Emi Sei, Ruli Gao, Annalyssa Long, Funda Meric‐Bernstam, Mary E. Edgerton, Tapsi Kumar, Shanshan Bai and Min Hu and has published in prestigious journals such as Cell, Nature Biotechnology and PLoS ONE.

In The Last Decade

Aislyn Schalck

5 papers receiving 788 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.

Delineating copy number and clonal substructure in human tumors from single-cell transcriptomes

2021 413 citations Ruli Gao, Shanshan Bai 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
Aislyn Schalck United States	5	533	405	322	158	112	7	794
Tobias Anzeneder Germany	12	631 1.2×	334 0.8×	554 1.7×	349 2.2×	131 1.2×	18	1.1k
Veronique Neumeister United States	17	510 1.0×	319 0.8×	496 1.5×	92 0.6×	170 1.5×	35	968
Yuliana Tan United States	4	635 1.2×	342 0.8×	377 1.2×	238 1.5×	68 0.6×	5	971
Yoko S. DeRose United States	9	439 0.8×	342 0.8×	699 2.2×	138 0.9×	141 1.3×	10	1.1k
Ronan Chaligné United States	13	656 1.2×	340 0.8×	196 0.6×	124 0.8×	65 0.6×	28	963
Hye Hyeon Eum South Korea	9	839 1.6×	516 1.3×	460 1.4×	289 1.8×	117 1.0×	13	1.2k
Susan Jewell United States	10	424 0.8×	245 0.6×	563 1.7×	80 0.5×	163 1.5×	15	779
Mihriban Karaayvaz United States	9	927 1.7×	739 1.8×	388 1.2×	91 0.6×	89 0.8×	11	1.2k
Alba Rodríguez-Meira United Kingdom	11	549 1.0×	341 0.8×	155 0.5×	101 0.6×	47 0.4×	14	874
Jolene Jie Lin Goh Singapore	3	561 1.1×	324 0.8×	357 1.1×	171 1.1×	58 0.5×	5	812

Countries citing papers authored by Aislyn Schalck

Since Specialization

Citations

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

Fields of papers citing papers by Aislyn Schalck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aislyn Schalck

This figure shows the co-authorship network connecting the top 25 collaborators of Aislyn Schalck. A scholar is included among the top collaborators of Aislyn Schalck 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 Aislyn Schalck. Aislyn Schalck 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:

7 of 7 papers shown

1.

Shaitelman, Simona F., Huong T. Le‐Petross, Maria Gabriela Raso, et al.. (2024). PRECISE: Preoperative Radiation Therapy to Elicit Critical Immune Stimulating Effects—A Phase 2 Clinical Trial. International Journal of Radiation Oncology*Biology*Physics. 121(1). 90–96.

2.

Schalck, Aislyn, Donastas Sakellariou-Thompson, Marie‐Andrée Forget, et al.. (2022). Single-Cell Sequencing Reveals Trajectory of Tumor-Infiltrating Lymphocyte States in Pancreatic Cancer. Cancer Discovery. 12(10). 2330–2349. 44 indexed citations

3.

Minussi, Darlan Conterno, Junke Wang, Aislyn Schalck, et al.. (2022). Abstract 1210: Resolving clonal substructure from single cell genomic data in primary and metastatic tumors using CopyKit. Cancer Research. 82(12_Supplement). 1210–1210.

4.

Gao, Ruli, Shanshan Bai, Ying C. Henderson, et al.. (2021). Delineating copy number and clonal substructure in human tumors from single-cell transcriptomes. Nature Biotechnology. 39(5). 599–608. 413 indexed citations breakdown →

5.

Casasent, Tod D., Aislyn Schalck, Ruli Gao, et al.. (2018). Multiclonal Invasion in Breast Tumors Identified by Topographic Single Cell Sequencing. Cell. 172(1-2). 205–217.e12. 279 indexed citations

6.

Lubitz, Carrie C., Sareh Parangi, Tammy M. Holm, et al.. (2015). Detection of Circulating BRAF in Patients with Papillary Thyroid Carcinoma. Journal of Molecular Diagnostics. 18(1). 100–108. 25 indexed citations

7.

Frederick, Dennie T., Aislyn Schalck, Zachary A. Cooper, et al.. (2014). Clinical Profiling of BCL-2 Family Members in the Setting of BRAF Inhibition Offers a Rationale for Targeting De Novo Resistance Using BH3 Mimetics. PLoS ONE. 9(7). e101286–e101286. 33 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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