Bernard Omolo

552 total citations
33 papers, 339 citations indexed

About

Bernard Omolo is a scholar working on Molecular Biology, Oncology and Global and Planetary Change. According to data from OpenAlex, Bernard Omolo has authored 33 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Global and Planetary Change. Recurrent topics in Bernard Omolo's work include Gene expression and cancer classification (5 papers), Molecular Biology Techniques and Applications (4 papers) and Melanoma and MAPK Pathways (3 papers). Bernard Omolo is often cited by papers focused on Gene expression and cancer classification (5 papers), Molecular Biology Techniques and Applications (4 papers) and Melanoma and MAPK Pathways (3 papers). Bernard Omolo collaborates with scholars based in United States, South Africa and Kenya. Bernard Omolo's co-authors include Henry Mwambi, Mohanad Mohammed, Murtada K. Elbashir, Innocent B. Mboya, Joseph G. Ibrahim, William K. Kaufmann, Janiel M. Shields, Craig C. Carson, Nancy E. Thomas and Dennis A. Simpson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer.

In The Last Decade

Bernard Omolo

30 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernard Omolo United States 11 127 66 65 56 55 33 339
Taylor E. Arnoff United States 6 172 1.4× 72 1.1× 73 1.1× 44 0.8× 49 0.9× 10 336
Songlin Gao China 7 73 0.6× 71 1.1× 107 1.6× 77 1.4× 57 1.0× 25 300
Miguel Henriques Abreu Portugal 10 96 0.8× 136 2.1× 66 1.0× 50 0.9× 37 0.7× 22 370
Te-Cheng Hsu Taiwan 8 136 1.1× 82 1.2× 69 1.1× 65 1.2× 58 1.1× 19 322
Ksenija Kanjer Serbia 13 90 0.7× 93 1.4× 110 1.7× 103 1.8× 45 0.8× 32 336
Jasleen Grewal Canada 11 209 1.6× 101 1.5× 84 1.3× 87 1.6× 52 0.9× 19 490
Hao Hu China 10 93 0.7× 36 0.5× 85 1.3× 52 0.9× 109 2.0× 43 356
Jett Crowdis United States 5 160 1.3× 71 1.1× 41 0.6× 49 0.9× 90 1.6× 8 326
Qingyuan Zheng China 8 100 0.8× 46 0.7× 88 1.4× 63 1.1× 81 1.5× 32 323
Rui Fu China 11 82 0.6× 34 0.5× 60 0.9× 42 0.8× 111 2.0× 43 432

Countries citing papers authored by Bernard Omolo

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Omolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Omolo

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Omolo. A scholar is included among the top collaborators of Bernard Omolo 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 Bernard Omolo. Bernard Omolo 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.
Omolo, Bernard, et al.. (2025). A Hierarchical Archimedean Copula (HAC) model for climatic variables: an application to Kenyan data. Frontiers in Applied Mathematics and Statistics. 11.
2.
Omolo, Bernard, et al.. (2025). A systematic approach to modeling monthly maximum temperature and total rainfall in Kenya. Scientific Reports. 15(1). 31758–31758.
3.
Omolo, Bernard, et al.. (2024). A Bayesian model for predicting monthly fire frequency in Kenya. PLoS ONE. 19(1). e0291800–e0291800. 2 indexed citations
4.
Elbashir, Murtada K., Mohanad Mohammed, Henry Mwambi, & Bernard Omolo. (2023). Identification of Hub Genes Associated with Breast Cancer Using Integrated Gene Expression Data with Protein-Protein Interaction Network. Applied Sciences. 13(4). 2403–2403. 13 indexed citations
5.
Omolo, Bernard, et al.. (2023). An application of a supervised machine learning model for predicting life expectancy. SN Applied Sciences. 5(7). 4 indexed citations
6.
Omolo, Bernard, et al.. (2023). Assessing predictive performance of supervised machine learning algorithms for a diamond pricing model. Scientific Reports. 13(1). 17315–17315. 29 indexed citations
7.
Omolo, Bernard, et al.. (2023). Genome-wide association testing in malaria studies in the presence of overdominance. Malaria Journal. 22(1). 119–119. 2 indexed citations
8.
Mohammed, Mohanad, Innocent B. Mboya, Henry Mwambi, Murtada K. Elbashir, & Bernard Omolo. (2021). Predictors of colorectal cancer survival using cox regression and random survival forests models based on gene expression data. PLoS ONE. 16(12). e0261625–e0261625. 17 indexed citations
9.
Mohammed, Mohanad, Henry Mwambi, Innocent B. Mboya, Murtada K. Elbashir, & Bernard Omolo. (2021). A stacking ensemble deep learning approach to cancer type classification based on TCGA data. Scientific Reports. 11(1). 15626–15626. 92 indexed citations
10.
Davis, Jessica, et al.. (2017). Risk for Cardiovascular Disease in Blacks with HIV/AIDS in America: A Systematic Review and Meta-analysis. Digital Scholarship - UNLV (University of Nevada Reno). 10(2). 8. 4 indexed citations
11.
Omolo, Bernard, Mingli Yang, Fang Yin Lo, et al.. (2016). Adaptation of a RAS pathway activation signature from FF to FFPE tissues in colorectal cancer. BMC Medical Genomics. 9(1). 65–65. 19 indexed citations
12.
Omolo, Bernard, et al.. (2016). Evaluation of Methods for Gene Selection in Melanoma Cell Lines. International Journal of Statistics in Medical Research. 6(1). 1–9. 2 indexed citations
13.
Kaufmann, William K., Craig C. Carson, Bernard Omolo, et al.. (2014). Mechanisms of chromosomal instability in melanoma. Environmental and Molecular Mutagenesis. 55(6). 457–471. 16 indexed citations
14.
Omolo, Bernard, Craig C. Carson, Haitao Chu, et al.. (2013). A prognostic signature of G₂ checkpoint function in melanoma cell lines. Cell Cycle. 12(7). 1071–1082. 12 indexed citations
15.
Hamilton, Ronald L., Michal T. Krauze, Marjorie Romkes, et al.. (2013). Pathologic and gene expression features of metastatic melanomas to the brain. Cancer. 119(15). 2737–2746. 32 indexed citations
16.
Cohen, Stephanie M., Bentley R. Midkiff, Yingchun Zhou, et al.. (2013). Development of DNA Damage Response Signaling Biomarkers using Automated, Quantitative Image Analysis. Journal of Histochemistry & Cytochemistry. 62(3). 185–196. 10 indexed citations
17.
Omolo, Bernard, et al.. (2013). Cautions of Using Allele-Based Tests Under Heterosis. International Journal of Statistics in Medical Research. 2(1). 47–54. 1 indexed citations
18.
Carson, Craig C., Bernard Omolo, Haitao Chu, et al.. (2012). A prognostic signature of defective p53‐dependent G1 checkpoint function in melanoma cell lines. Pigment Cell & Melanoma Research. 25(4). 514–526. 16 indexed citations
19.
Lee, Eunjoo, et al.. (2008). Using integrated weighted survival difference for the two-sample censored data problem. Computational Statistics & Data Analysis. 52(9). 4410–4416. 3 indexed citations
20.
Hart, John, Bernard Omolo, & William R. Boone. (2007). Thermal patterns and health perceptions.. PubMed. 51(2). 106–11. 4 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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