Aislyn Schalck

2.5k citations
7 papers · 794 indexed · 1 hit paper · h-index 5
Topics
Cancer Genomics and Diagnostics (4 papers)Single-cell and spatial transcriptomics (3 papers)Cancer Immunotherapy and Biomarkers (2 papers)
Partner nations
United StatesChina

In The Last Decade

Aislyn Schalck

5 papers receiving 788 citations

Hit Papers

Delineating copy number and clonal substructure in human ...20212026202220242021100200300400

Peers

Aislyn Schalck
Comparison fields: 5 of 49
  • Molecular Biology 533
  • Cancer Research 405
  • Oncology 322
  • Immunology 158
  • Pulmonary and Respiratory Medicine 112
Replace Ronan Chaligné with:
Ronan Chaligné United States
Tobias Anzeneder Germany
Jolene Jie Lin Goh Singapore
Yuliana Tan United States
Yoko S. DeRose United States
Mihriban Karaayvaz United States
Reuben Moncada United States
Hye Hyeon Eum South Korea
Maria O. Hernandez United States
Woosung Chung South Korea
Aislyn Schalck relative to Ronan Chaligné United States Ronan Chaligné's profile →
Citations per field
00.5×1.5×
Ronan Chaligné · 1×
Citations per year

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

7 of 7 papers shown
#WorkIndexed citations
1 0
2 44
3 0
4
Delineating copy number and clonal substructure in human tumors from single-cell transcriptomesbreakdown →
413
5 279
6 25
7 33

About Aislyn Schalck

Aislyn Schalck is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 7 papers that have together received 794 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (405 citations), Oncology (322 citations) and Molecular Biology (533 citations). Aislyn Schalck has collaborated with scholars based in United States and China. Frequent co-authors include Emi Sei, Nicholas E. Navin, Ruli Gao, Annalyssa Long, Mary E. Edgerton, Funda Meric‐Bernstam, Tod D. Casasent, Min Hu, Shanshan Bai and Tapsi Kumar. Their work appears in journals such as Cell, Nature Biotechnology and PLoS ONE.

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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