Getiria Onsongo

995 total citations
22 papers, 703 citations indexed

About

Getiria Onsongo is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Getiria Onsongo has authored 22 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Spectroscopy and 5 papers in Genetics. Recurrent topics in Getiria Onsongo's work include Advanced Proteomics Techniques and Applications (7 papers), Genomics and Phylogenetic Studies (5 papers) and Genomics and Rare Diseases (4 papers). Getiria Onsongo is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Genomics and Phylogenetic Studies (5 papers) and Genomics and Rare Diseases (4 papers). Getiria Onsongo collaborates with scholars based in United States, China and United Kingdom. Getiria Onsongo's co-authors include Timothy J. Griffin, Sricharan Bandhakavi, Matthew D. Stone, Hongwei Xie, Pratik Jagtap, John V. Carlis, James E. Johnson, Nelson L. Rhodus, Ebbing P. de Jong and Robert J. Griffin and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.

In The Last Decade

Getiria Onsongo

21 papers receiving 688 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Getiria Onsongo United States 13 407 248 170 132 90 22 703
Morris A. Kostiuk Canada 12 329 0.8× 36 0.1× 43 0.3× 11 0.1× 41 0.5× 16 546
Jacob Raphael United States 9 599 1.5× 72 0.3× 25 0.1× 5 0.0× 37 0.4× 11 779
Iñaki de Diego Spain 11 403 1.0× 9 0.0× 45 0.3× 110 0.8× 32 0.4× 19 583
Diego Calzolari United States 10 476 1.2× 48 0.2× 41 0.2× 7 0.1× 65 0.7× 12 755
Bowen Wei China 8 328 0.8× 21 0.1× 48 0.3× 4 0.0× 40 0.4× 15 662
Geoffrey R. Guile United Kingdom 11 723 1.8× 120 0.5× 59 0.3× 3 0.0× 25 0.3× 19 982
David E Malehorn United States 14 533 1.3× 51 0.2× 29 0.2× 3 0.0× 46 0.5× 19 824
Therese Dau Germany 10 437 1.1× 139 0.6× 22 0.1× 3 0.0× 35 0.4× 18 670
Tianshun Gao China 12 800 2.0× 44 0.2× 19 0.1× 4 0.0× 92 1.0× 39 994
Babylakshmi Muthusamy India 13 311 0.8× 84 0.3× 17 0.1× 3 0.0× 71 0.8× 41 543

Countries citing papers authored by Getiria Onsongo

Since Specialization
Citations

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

Fields of papers citing papers by Getiria Onsongo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Getiria Onsongo

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

All Works

20 of 20 papers shown
1.
Nelson, Andrew C., Thomas J. Turbyville, Srisathiyanarayanan Dharmaiah, et al.. (2020). RAS internal tandem duplication disrupts GTPase-activating protein (GAP) binding to activate oncogenic signaling. Journal of Biological Chemistry. 295(28). 9335–9348. 10 indexed citations
2.
Henzler, Christine, Ham Ching Lam, Sarah A. Munro, et al.. (2019). Leveraging Public Cloud Services for CLIA-Certified Personalized Medicine Pipelines. 1–4.
3.
Chambers, Matthew, Pratik Jagtap, James E. Johnson, et al.. (2017). An Accessible Proteogenomics Informatics Resource for Cancer Researchers. Cancer Research. 77(21). e43–e46. 23 indexed citations
4.
Onsongo, Getiria, Linda B. Baughn, Matthew Bower, et al.. (2016). CNV-RF Is a Random Forest–Based Copy Number Variation Detection Method Using Next-Generation Sequencing. Journal of Molecular Diagnostics. 18(6). 872–881. 24 indexed citations
5.
Fu, Hsu‐Yuan, Mohit Sharma, Joann Mudge, et al.. (2016). Augmenting Chinese hamster genome assembly by identifying regions of high confidence. Biotechnology Journal. 11(9). 1151–1157. 9 indexed citations
6.
Yohe, Sophia, Matthew Bower, Getiria Onsongo, et al.. (2015). Clinical Validation of Targeted Next-Generation Sequencing for Inherited Disorders. Archives of Pathology & Laboratory Medicine. 139(2). 204–210. 43 indexed citations
7.
Nelson, Andrew C., Matthew Bower, Linda B. Baughn, et al.. (2015). Criteria for Clinical Reporting of Variants from a Broad Target Capture NGS Assay without Sanger Verification. University of Minnesota Digital Conservancy (University of Minnesota). 2(1). 12 indexed citations
8.
Sheynkman, Gloria, James E. Johnson, Pratik Jagtap, et al.. (2014). Using Galaxy-P to leverage RNA-Seq for the discovery of novel protein variations. BMC Genomics. 15(1). 703–703. 69 indexed citations
9.
Onsongo, Getiria, John Chilton, Kenneth B. Beckman, et al.. (2014). Implementation of Cloud based Next Generation Sequencing data analysis in a clinical laboratory. BMC Research Notes. 7(1). 314–314. 18 indexed citations
10.
Jagtap, Pratik, James E. Johnson, Getiria Onsongo, et al.. (2014). Flexible and Accessible Workflows for Improved Proteogenomic Analysis Using the Galaxy Framework. Journal of Proteome Research. 13(12). 5898–5908. 67 indexed citations
11.
Zhang, Ying, John Chilton, Getiria Onsongo, et al.. (2012). CLIA-certified next-generation sequencing analysis in the cloud. BMC Proceedings. 6(S6). 3 indexed citations
12.
Onsongo, Getiria, Matthew D. Stone, John Chilton, et al.. (2010). LTQ‐iQuant: A freely available software pipeline for automated and accurate protein quantification of isobaric tagged peptide data from LTQ instruments. PROTEOMICS. 10(19). 3533–3538. 23 indexed citations
13.
Jong, Ebbing P. de, Hongwei Xie, Getiria Onsongo, et al.. (2010). Quantitative Proteomics Reveals Myosin and Actin as Promising Saliva Biomarkers for Distinguishing Pre-Malignant and Malignant Oral Lesions. PLoS ONE. 5(6). e11148–e11148. 84 indexed citations
14.
Onsongo, Getiria, et al.. (2010). Decentralized agent-based underfrequency load shedding. Integrated Computer-Aided Engineering. 17(4). 321–329. 16 indexed citations
15.
Stone, Matthew D., Rick M. Odland, Thomas McGowan, et al.. (2010). Novel In Situ Collection of Tumor Interstitial Fluid from a Head and Neck Squamous Carcinoma Reveals a Unique Proteome with Diagnostic Potential. Clinical Proteomics. 6(3). 75–82. 17 indexed citations
16.
Bandhakavi, Sricharan, Young Mi Kim, Seung‐Hyun Ro, et al.. (2009). Quantitative Nuclear Proteomics Identifies mTOR Regulation of DNA Damage Response. Molecular & Cellular Proteomics. 9(2). 403–414. 35 indexed citations
17.
Bandhakavi, Sricharan, et al.. (2009). A Dynamic Range Compression and Three-Dimensional Peptide Fractionation Analysis Platform Expands Proteome Coverage and the Diagnostic Potential of Whole Saliva. Journal of Proteome Research. 8(12). 5590–5600. 151 indexed citations
18.
Onsongo, Getiria, Hongwei Xie, Timothy J. Griffin, & John V. Carlis. (2008). Generating GO Slim Using Relational Database Management Systems to Support Proteomics Analysis. 215–217. 3 indexed citations
19.
Xie, Hongwei, Getiria Onsongo, Ebbing P. de Jong, et al.. (2007). Proteomics Analysis of Cells in Whole Saliva from Oral Cancer Patients via Value-added Three-dimensional Peptide Fractionation and Tandem Mass Spectrometry. Molecular & Cellular Proteomics. 7(3). 486–498. 81 indexed citations
20.
Shoop, Elizabeth, et al.. (2004). Data exploration tools for the Gene Ontology database. Bioinformatics. 20(18). 3442–3454. 10 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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