Stephen O. Opiyo

954 total citations
22 papers, 628 citations indexed

About

Stephen O. Opiyo is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Stephen O. Opiyo has authored 22 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Plant Science and 5 papers in Cell Biology. Recurrent topics in Stephen O. Opiyo's work include Plant-Microbe Interactions and Immunity (5 papers), Plant Pathogens and Fungal Diseases (4 papers) and Machine Learning in Bioinformatics (3 papers). Stephen O. Opiyo is often cited by papers focused on Plant-Microbe Interactions and Immunity (5 papers), Plant Pathogens and Fungal Diseases (4 papers) and Machine Learning in Bioinformatics (3 papers). Stephen O. Opiyo collaborates with scholars based in United States, Tanzania and Kenya. Stephen O. Opiyo's co-authors include Etsuko N. Moriyama, Greg G. Oakley, Jason G. Glanzer, Amanda K. Ashley, Jac A. Nickoloff, Meena Shrivastav, Karoline C. Manthey, Shuli Liu, Alan M. Jones and Pooja K Strope and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Stephen O. Opiyo

22 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen O. Opiyo United States 13 440 155 144 71 59 22 628
Eva Růčková Czechia 10 347 0.8× 79 0.5× 68 0.5× 76 1.1× 39 0.7× 12 694
Kamil Steczkiewicz Poland 14 566 1.3× 240 1.5× 44 0.3× 109 1.5× 106 1.8× 28 876
Isabel Rodríguez‐Escudero Spain 17 568 1.3× 60 0.4× 43 0.3× 100 1.4× 144 2.4× 28 898
Huan Zheng China 14 344 0.8× 169 1.1× 91 0.6× 59 0.8× 36 0.6× 39 962
Łukasz Kniżewski Poland 10 429 1.0× 158 1.0× 39 0.3× 18 0.3× 93 1.6× 12 622
Rafael D. Mesquita Brazil 14 290 0.7× 62 0.4× 26 0.2× 35 0.5× 66 1.1× 32 591
Tomohiro Akashi Japan 19 743 1.7× 336 2.2× 69 0.5× 303 4.3× 36 0.6× 37 1.0k
Maxime Wéry France 21 807 1.8× 79 0.5× 97 0.7× 18 0.3× 71 1.2× 44 1.1k
Susanne Warrenfeltz United States 9 276 0.6× 122 0.8× 23 0.2× 73 1.0× 27 0.5× 10 505

Countries citing papers authored by Stephen O. Opiyo

Since Specialization
Citations

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

Fields of papers citing papers by Stephen O. Opiyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen O. Opiyo. 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 Stephen O. Opiyo. The network helps show where Stephen O. Opiyo may publish in the future.

Co-authorship network of co-authors of Stephen O. Opiyo

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen O. Opiyo. A scholar is included among the top collaborators of Stephen O. Opiyo 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 Stephen O. Opiyo. Stephen O. Opiyo 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.
Agaba, Morris, Gabriel Shirima, Swidiq Mugerwa, et al.. (2024). Variability in body weight and morphology of Uganda’s indigenous goat breeds across agroecological zones. PLoS ONE. 19(1). e0296353–e0296353. 2 indexed citations
2.
Opiyo, Stephen O., et al.. (2022). SynBio Africa's story from the grassroots, the present, and the future. PubMed. 4. 1–6. 3 indexed citations
3.
Kim, Eunsoo, et al.. (2021). Pollutants enhance IgE sensitization in the gut via local alteration of vitamin D-metabolizing enzymes. Mucosal Immunology. 15(1). 143–153. 4 indexed citations
4.
Zheng, Huawei, Kai Zhang, Stephen O. Opiyo, et al.. (2020). FgHtf1 Regulates Global Gene Expression towards Aerial Mycelium and Conidiophore Formation in the Cereal Fungal Pathogen Fusarium graminearum. Applied and Environmental Microbiology. 86(9). 12 indexed citations
5.
Sserumaga, Julius Pyton, et al.. (2020). Genetic Diversity and Population Structure Analysis of Tropical Soybean (Glycine max (L.) Merrill) using Single Nucleotide Polymorphic Markers. Global Journal of Human Social Science. 35–43. 2 indexed citations
6.
Kuiate, Jules‐Roger, Flobert Njiokou, Gustave Simo, et al.. (2019). A countrywide molecular survey leads to a seminal identification of the invasive cattle tick Rhipicephalus (Boophilus) microplus in Cameroon, a decade after it was reported in Cote d’Ivoire. Ticks and Tick-borne Diseases. 10(3). 585–593. 39 indexed citations
7.
Opiyo, Stephen O., et al.. (2018). Fecal microbiome of periparturient dairy cattle and associations with the onset of Salmonella shedding. PLoS ONE. 13(5). e0196171–e0196171. 23 indexed citations
8.
Xia, Ye, et al.. (2018). The culturable endophytic fungal communities of switchgrass grown on a coal-mining site and their effects on plant growth. PLoS ONE. 13(6). e0198994–e0198994. 22 indexed citations
9.
10.
Kang, Houxiang, Maria Bellizzi, Chan Ho Park, et al.. (2016). Genome-Wide Association Mapping of Rice Resistance Genes Against Magnaporthe oryzae Isolates from Four African Countries. Phytopathology. 106(11). 1359–1365. 22 indexed citations
11.
Ashley, Amanda K., Meena Shrivastav, Jason G. Glanzer, et al.. (2014). DNA-PK phosphorylation of RPA32 Ser4/Ser8 regulates replication stress checkpoint activation, fork restart, homologous recombination and mitotic catastrophe. DNA repair. 21. 131–139. 99 indexed citations
12.
Opiyo, Stephen O. & David Mackey. (2013). Identification of proteins similar to AvrE type III effector proteins from Arabidopsidis thaliana genome with partial least squares. AFRICAN JOURNAL OF BIOTECHNOLOGY. 12(39). 5804–5808. 1 indexed citations
13.
Liu, Shuli, Stephen O. Opiyo, Karoline C. Manthey, et al.. (2012). Distinct roles for DNA-PK, ATM and ATR in RPA phosphorylation and checkpoint activation in response to replication stress. Nucleic Acids Research. 40(21). 10780–10794. 192 indexed citations
14.
Opiyo, Stephen O. & Etsuko N. Moriyama. (2010). Mining Cytochrome b561 proteins from plant genomes. International Journal of Bioinformatics Research and Applications. 6(2). 209–209. 5 indexed citations
15.
Opiyo, Stephen O., R. L. Pardy, Hideaki Moriyama, & Etsuko N. Moriyama. (2010). Evolution of the Kdo2-lipid A biosynthesis in bacteria. BMC Evolutionary Biology. 10(1). 362–362. 44 indexed citations
16.
Opiyo, Stephen O. & Etsuko N. Moriyama. (2009). Mining the Arabidopsis and rice genomes for cyclophilin protein families. International Journal of Bioinformatics Research and Applications. 5(3). 295–295. 8 indexed citations
17.
Manthey, Karoline C., Stephen O. Opiyo, Jason G. Glanzer, et al.. (2007). NBS1 mediates ATR-dependent RPA hyperphosphorylation following replication-fork stall and collapse. Journal of Cell Science. 120(23). 4221–4229. 37 indexed citations
18.
Moriyama, Etsuko N., Pooja K Strope, Stephen O. Opiyo, Yuyan Chen, & Alan M. Jones. (2006). Mining the Arabidopsis thalianagenome for highly-divergent seven transmembrane receptors. Genome biology. 7(10). 1 indexed citations
19.
Moriyama, Etsuko N., Pooja K Strope, Stephen O. Opiyo, Yuyan Chen, & Alan M. Jones. (2006). Mining the Arabidopsis thaliana genome for highly-divergent seven transmembrane receptors. Genome biology. 7(10). R96–R96. 69 indexed citations
20.
Opiyo, Stephen O. & Etsuko N. Moriyama. (2006). Protein Family Classification with Partial Least Squares. Journal of Proteome Research. 6(2). 846–853. 15 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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