Zachary B. Abrams

847 total citations
36 papers, 487 citations indexed

About

Zachary B. Abrams is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Zachary B. Abrams has authored 36 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Cancer Research and 6 papers in Artificial Intelligence. Recurrent topics in Zachary B. Abrams's work include Gene expression and cancer classification (6 papers), Genomic variations and chromosomal abnormalities (6 papers) and MicroRNA in disease regulation (5 papers). Zachary B. Abrams is often cited by papers focused on Gene expression and cancer classification (6 papers), Genomic variations and chromosomal abnormalities (6 papers) and MicroRNA in disease regulation (5 papers). Zachary B. Abrams collaborates with scholars based in United States, Germany and Canada. Zachary B. Abrams's co-authors include Kevin R. Coombes, Philip Payne, Kun Huang, Travis S. Johnson, William E. Carson, Joseph Markowitz, Lynne V. Abruzzo, Tanios Bekaii‐Saab, Taylor Brooks and Gregory B. Lesinski and has published in prestigious journals such as Bioinformatics, PLoS ONE and Neurology.

In The Last Decade

Zachary B. Abrams

32 papers receiving 481 citations

Peers

Zachary B. Abrams

IMMUN

ONCOL

Moritz Hess Germany

Héctor Sanz United States

Naresh Prodduturi United States

Richard K. Lee United States

Po‐Chuan Wang Taiwan

Handong Ma China

Lujia Chen United States

Lorenz Adlung Germany

Valentin Dinu United States

Moritz Hess Germany

Zachary B. Abrams

142 ×0.8

65 ×0.6

IMMUN

63 ×0.6

ONCOL

51 ×0.6

30 ×0.7

Citations per year, relative to Zachary B. Abrams Zachary B. Abrams (= 1×) peers Moritz Hess

Countries citing papers authored by Zachary B. Abrams

Since Specialization

Citations

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

Fields of papers citing papers by Zachary B. Abrams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zachary B. Abrams. 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 Zachary B. Abrams. The network helps show where Zachary B. Abrams may publish in the future.

Co-authorship network of co-authors of Zachary B. Abrams

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

All Works

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20 of 20 papers shown

Abrams, Zachary B., et al.. (2024). Evaluating Generative AI’s Ability to Identify Cancer Subtypes in Publicly Available Structured Genetic Datasets. Journal of Personalized Medicine. 14(10). 1022–1022.

Abrams, Zachary B., et al.. (2024). SillyPutty: Improved clustering by optimizing the silhouette width. PLoS ONE. 19(6). e0300358–e0300358. 4 indexed citations

Oh, Inez Y., et al.. (2024). Examining heterogeneity in dementia using data-driven unsupervised clustering of cognitive profiles. PLoS ONE. 19(11). e0313425–e0313425.

Oh, Inez Y., et al.. (2024). Document-level Clinical Entity and Relation extraction via Knowledge Base-Guided Generation. 318–327. 2 indexed citations

Weiskopf, Nicole G., Zachary B. Abrams, Randi E. Foraker, et al.. (2023). Electronic health record data quality assessment and tools: a systematic review. Journal of the American Medical Informatics Association. 30(10). 1730–1740. 48 indexed citations

Abrams, Zachary B., et al.. (2021). RCytoGPS: an R package for reading and visualizing cytogenetics data. Bioinformatics. 37(23). 4589–4590. 2 indexed citations

Liu, Xin, et al.. (2021). Simulation-derived best practices for clustering clinical data. Journal of Biomedical Informatics. 118. 103788–103788. 11 indexed citations

Johnson, Travis S., Shunian Xiang, Bryan R. Helm, et al.. (2020). Spatial cell type composition in normal and Alzheimers human brains is revealed using integrated mouse and human single cell RNA sequencing. PMC.

Abrams, Zachary B., et al.. (2019). CytoGPS: a web-enabled karyotype analysis tool for cytogenetics. Bioinformatics. 35(24). 5365–5366. 8 indexed citations

10.

Abrams, Zachary B., Travis S. Johnson, Kun Huang, Philip Payne, & Kevin R. Coombes. (2019). A protocol to evaluate RNA sequencing normalization methods. PMC. 2 indexed citations

11.

Herling, Carmen, Kevin R. Coombes, Axel Benner, et al.. (2019). Time-to-progression after front-line fludarabine, cyclophosphamide, and rituximab chemoimmunotherapy for chronic lymphocytic leukaemia: a retrospective, multicohort study. The Lancet Oncology. 20(11). 1576–1586. 15 indexed citations

12.

Coombes, Kevin R., Guy Brock, Zachary B. Abrams, & Lynne V. Abruzzo. (2019). Polychrome : Creating and Assessing Qualitative Palettes with Many Colors. Journal of Statistical Software. 90(Code Snippet 1). 16 indexed citations

13.

Abrams, Zachary B., et al.. (2019). Explaining Gene Expression Using Twenty-One MicroRNAs. Journal of Computational Biology. 27(7). 1157–1170. 1 indexed citations

14.

Wang, Min, Zachary B. Abrams, Steven M. Kornblau, & Kevin R. Coombes. (2018). Thresher: determining the number of clusters while removing outliers. BMC Bioinformatics. 19(1). 9–9. 33 indexed citations

15.

Abrams, Zachary B., et al.. (2018). Thirty biologically interpretable clusters of transcription factors distinguish cancer type. BMC Genomics. 19(1). 738–738. 7 indexed citations

16.

Johnson, Travis S., Zachary B. Abrams, Xiaokui Mo, Yan Zhang, & Kun Huang. (2017). Lack of human cytomegalovirus expression in single cells from glioblastoma tumors and cell lines. Journal of NeuroVirology. 23(5). 671–678. 12 indexed citations

17.

Markowitz, Joseph, Zachary B. Abrams, Naduparambil K. Jacob, et al.. (2016). MicroRNA profiling of patient plasma for clinical trials using bioinformatics and biostatistical approaches. OncoTargets and Therapy. Volume 9. 5931–5941. 5 indexed citations

18.

Zhang, Jie, Zachary B. Abrams, Jeffrey D. Parvin, & Kun Huang. (2016). Integrative analysis of somatic mutations and transcriptomic data to functionally stratify breast cancer patients. BMC Genomics. 17(S7). 513–513. 9 indexed citations

19.

McMichael, Elizabeth L., et al.. (2016). Folate-conjugated immunoglobulin targets melanoma tumor cells for NK cell effector functions. Melanoma Research. 26(4). 329–337. 13 indexed citations

20.

Schenck, Craig A., et al.. (2013). A proteomics approach identifies novel proteins involved in gravitropic signal transduction. American Journal of Botany. 100(1). 194–202. 20 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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