Amber Wolabaugh

651 total citations
3 papers, 82 citations indexed

About

Amber Wolabaugh is a scholar working on Immunology, Infectious Diseases and Surgery. According to data from OpenAlex, Amber Wolabaugh has authored 3 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Immunology, 1 paper in Infectious Diseases and 1 paper in Surgery. Recurrent topics in Amber Wolabaugh's work include interferon and immune responses (1 paper), Cancer Genomics and Diagnostics (1 paper) and Diabetes and associated disorders (1 paper). Amber Wolabaugh is often cited by papers focused on interferon and immune responses (1 paper), Cancer Genomics and Diagnostics (1 paper) and Diabetes and associated disorders (1 paper). Amber Wolabaugh collaborates with scholars based in United States. Amber Wolabaugh's co-authors include Nirav Patel, Steven E. Bosinger, Amit A. Upadhyay, Mehul S. Suthar, Justin T. O’Neal, Alice Cho, Colin Havenar‐Daughton, Gregory K. Tharp, Iñaki Sanz and Shane Crotty and has published in prestigious journals such as Journal of Virology, Frontiers in Immunology and Genome Medicine.

In The Last Decade

Amber Wolabaugh

3 papers receiving 82 citations

Peers

Amber Wolabaugh
Daipayan Banerjee United States
Anthony H. Nguyen United States
Tyler J. Ripperger United States
Timothy G. Wanninger United States
Yubin Xie China
Kennidy K. Takehara United States
Daipayan Banerjee United States
Amber Wolabaugh
Citations per year, relative to Amber Wolabaugh Amber Wolabaugh (= 1×) peers Daipayan Banerjee

Countries citing papers authored by Amber Wolabaugh

Since Specialization
Citations

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

Fields of papers citing papers by Amber Wolabaugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber Wolabaugh

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

All Works

3 of 3 papers shown
1.
Wang, Hui, et al.. (2023). Origin, phenotype and autoimmune potential of T cells in human immune system mice receiving neonatal human thymus tissue. Frontiers in Immunology. 14. 1159341–1159341. 2 indexed citations
2.
O’Neal, Justin T., Amit A. Upadhyay, Amber Wolabaugh, et al.. (2019). West Nile Virus-Inclusive Single-Cell RNA Sequencing Reveals Heterogeneity in the Type I Interferon Response within Single Cells. Journal of Virology. 93(6). 39 indexed citations
3.
Upadhyay, Amit A., Robert C. Kauffman, Amber Wolabaugh, et al.. (2018). BALDR: a computational pipeline for paired heavy and light chain immunoglobulin reconstruction in single-cell RNA-seq data. Genome Medicine. 10(1). 20–20. 41 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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