Libbey White

1.7k total citations
2 papers, 2 citations indexed

About

Libbey White is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Libbey White has authored 2 papers receiving a total of 2 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Genetics and 1 paper in Artificial Intelligence. Recurrent topics in Libbey White's work include Genomics and Rare Diseases (1 paper), Acute Myeloid Leukemia Research (1 paper) and Genomics and Phylogenetic Studies (1 paper). Libbey White is often cited by papers focused on Genomics and Rare Diseases (1 paper), Acute Myeloid Leukemia Research (1 paper) and Genomics and Phylogenetic Studies (1 paper). Libbey White collaborates with scholars based in United States. Libbey White's co-authors include David Maier, Shannon K. McWeeney, Haijiao Zhang, Vishesh Khanna, Samantha L. Savage, Daniel Bottomly, Angela Rofelty, Erik Segerdell, Julia E. Maxson and Emily Stevens and has published in prestigious journals such as Cancer Research and PDXScholar (Portland State University).

In The Last Decade

Libbey White

1 paper receiving 1 citation

Peers — A (Enhanced Table)

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

Name	h				Papers	Cites
Libbey White United States	2	1	1	1	2	2
О.T. Oleksyk United States	2				4	2
Yu. Potrebenikov Russia	2			1 1.0×	3	3
S. Jawahar India	2				4	2
L. Tolomei Italy	2			1 1.0×	2	4
S. Pardo Israel	2				3	2
Gábor Gelencsér Hungary	1				3	2
A. Holin Russia	1				2	2
M. Kirn Germany	2				2	3
Masachika Iwai Japan	2				2	2
Gaofei Zhao China	2		1 1.0×		2	2

Countries citing papers authored by Libbey White

Since Specialization

Citations

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

Fields of papers citing papers by Libbey White

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Libbey White

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

All Works

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2 of 2 papers shown

1.

Zhang, Haijiao, Beth Wilmot, Daniel Bottomly, et al.. (2017). Abstract 2452: Detailed genomic characterization of CNL/aCML/MPN-U/CMML reveals disease subgroups that may benefit from rationally-designed combination therapies. Cancer Research. 77(13_Supplement). 2452–2452. 1 indexed citations

2.

Maier, David, et al.. (2015). Data Like This. PDXScholar (Portland State University). 3–5. 1 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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