Bernard Omolo

552 citations
33 papers · 339 · h-index 11

Impact in

Papers in

    • Gene expression and cancer classification 5
    • Molecular Biology Techniques and Applications 4
    • Melanoma and MAPK Pathways 3
    • Colorectal Cancer Treatments and Studies 3

Bernard Omolo

30 papers receiving 323 citations

Peers

Bernard Omolo
Comparison fields: 5 of 116
  • Cancer Research 44
  • Health Information Management 12
  • Radiology, Nuclear Medicine and Imaging 56
  • Oncology 65
  • Artificial Intelligence 66
Replace Te-Cheng Hsu with:
Te-Cheng Hsu Taiwan
Héctor Sanz United States
Lorenz Adlung Germany
Ying Su China
Fleur Jeanquartier Austria
Ryan Goosen Switzerland
Jasleen Grewal Canada
Miguel Henriques Abreu Portugal
Duyen Thi Taiwan
Lana X. Garmire United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Bernard Omolo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bernard Omolo Line = papers co-authored together Bernard Omolo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202192
2 201332
3 202329
4 201820
5 201619
6 202117
7 201216
8 201416
9 202313
10 201312
11 201310
12 202010
13
Reliability of three methods of computer-aided thermal pattern analysis.
20079
14 20215
15
A Generalized Class of Kumaraswamy Lindley Distribution with Applications to Lifetime Data
20155
16
Risk for Cardiovascular Disease in Blacks with HIV/AIDS in America: A Systematic Review and Meta-analysis
20174
17 20234
18
Thermal patterns and health perceptions.
20074
19 20083
20 20242

About Bernard Omolo

Bernard Omolo is a scholar working on Molecular Biology, Oncology, Global and Planetary Change, Statistics and Probability and Cancer Research, having authored 33 papers that have together received 339 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Molecular Biology Techniques and Applications (4 papers), Melanoma and MAPK Pathways (3 papers), HIV/AIDS Research and Interventions (3 papers), Cancer Genomics and Diagnostics (3 papers), Hydrology and Drought Analysis (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Cancer Research (44 citations), Health Information Management (12 citations), Radiology, Nuclear Medicine and Imaging (56 citations), Oncology (65 citations) and Artificial Intelligence (66 citations). Bernard Omolo has collaborated with scholars based in United States, South Africa and Kenya. Frequent co-authors include Henry Mwambi, Mohanad Mohammed, Murtada K. Elbashir, Innocent B. Mboya, Joseph G. Ibrahim, William K. Kaufmann, Craig C. Carson, Janiel M. Shields, Nancy E. Thomas and Dennis A. Simpson. Their work appears in journals such as Scientific Reports, PLoS ONE, Cancer, Pigment Cell & Melanoma Research and Computational Statistics & Data Analysis.

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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