Elebeoba E. May

665 total citations
32 papers, 472 citations indexed

About

Elebeoba E. May is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Elebeoba E. May has authored 32 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Genetics and 6 papers in Infectious Diseases. Recurrent topics in Elebeoba E. May's work include RNA and protein synthesis mechanisms (12 papers), Bacterial Genetics and Biotechnology (11 papers) and Gene Regulatory Network Analysis (7 papers). Elebeoba E. May is often cited by papers focused on RNA and protein synthesis mechanisms (12 papers), Bacterial Genetics and Biotechnology (11 papers) and Gene Regulatory Network Analysis (7 papers). Elebeoba E. May collaborates with scholars based in United States, United Kingdom and Brazil. Elebeoba E. May's co-authors include Donald L. Bitzer, Mladen A. Vouk, David Rosnick, Steven J. Plimpton, Edward A. Graviss, Andrei Leitão, Alexander Tropsha, Tudor I. Oprea, Susan M. Brozik and Paul Crozier and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Elebeoba E. May

31 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elebeoba E. May United States 11 248 74 70 61 53 32 472
Cláudia Barbosa Ladeira de Campos Brazil 13 336 1.4× 122 1.6× 69 1.0× 41 0.7× 25 0.5× 32 709
Huan Xu China 15 324 1.3× 97 1.3× 83 1.2× 91 1.5× 80 1.5× 53 707
Katrin Hübner Germany 14 424 1.7× 49 0.7× 55 0.8× 102 1.7× 36 0.7× 31 774
Weihao Zheng China 15 286 1.2× 92 1.2× 106 1.5× 54 0.9× 39 0.7× 29 656
Henry C. Lai United States 13 257 1.0× 76 1.0× 31 0.4× 38 0.6× 22 0.4× 17 654
Amit Kumar Banerjee India 14 390 1.6× 48 0.6× 58 0.8× 19 0.3× 48 0.9× 51 695
Qingshan Zhang China 16 330 1.3× 100 1.4× 88 1.3× 19 0.3× 46 0.9× 70 807
Jianzhong Cao China 12 197 0.8× 162 2.2× 74 1.1× 41 0.7× 32 0.6× 28 631
Matthieu Pichaud United States 10 458 1.8× 51 0.7× 48 0.7× 24 0.4× 65 1.2× 11 596
Lina Dong China 14 274 1.1× 30 0.4× 35 0.5× 39 0.6× 54 1.0× 42 504

Countries citing papers authored by Elebeoba E. May

Since Specialization
Citations

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

Fields of papers citing papers by Elebeoba E. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elebeoba E. May. 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 Elebeoba E. May. The network helps show where Elebeoba E. May may publish in the future.

Co-authorship network of co-authors of Elebeoba E. May

This figure shows the co-authorship network connecting the top 25 collaborators of Elebeoba E. May. A scholar is included among the top collaborators of Elebeoba E. May 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 Elebeoba E. May. Elebeoba E. May 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.
May, Elebeoba E., et al.. (2023). Investigating the comorbidity of COPD and tuberculosis, a computational study. SHILAP Revista de lepidopterología. 3. 940097–940097. 5 indexed citations
2.
3.
Graviss, Edward A., et al.. (2019). Compounding effect of vitamin D3 diet, supplementation, and alcohol exposure on macrophage response to mycobacterium infection. Tuberculosis. 116. S42–S58. 3 indexed citations
4.
May, Elebeoba E., et al.. (2018). A Multiscale Agent-Based Model for the Investigation of E. coli K12 Metabolic Response During Biofilm Formation. Bulletin of Mathematical Biology. 80(11). 2917–2956. 6 indexed citations
5.
May, Elebeoba E., et al.. (2018). Spatiotemporal Analysis of Mycobacterium-Dependent Macrophage Response. PubMed. 2018. 2390–2393. 1 indexed citations
6.
Plimpton, Steven J., et al.. (2016). Oxygen Modulates the Effectiveness of Granuloma Mediated Host Response to Mycobacterium tuberculosis: A Multiscale Computational Biology Approach. Frontiers in Cellular and Infection Microbiology. 6. 6–6. 34 indexed citations
7.
May, Elebeoba E., et al.. (2016). Investigating the Role of TNF-α and IFN-γ Activation on the Dynamics of iNOS Gene Expression in LPS Stimulated Macrophages. PLoS ONE. 11(6). e0153289–e0153289. 153 indexed citations
8.
Clancy, Colleen E., Gary An, William R. Cannon, et al.. (2016). Multiscale Modeling in the Clinic: Drug Design and Development. Annals of Biomedical Engineering. 44(9). 2591–2610. 46 indexed citations
9.
Plimpton, Steven J., et al.. (2014). A method for modeling oxygen diffusion in an agent-based model with application to host-pathogen infection. PubMed. 36. 306–309. 3 indexed citations
10.
May, Elebeoba E., Andrei Leitão, Alexander Tropsha, & Tudor I. Oprea. (2013). A systems chemical biology study of malate synthase and isocitrate lyase inhibition in Mycobacterium tuberculosis during active and NRP growth. Computational Biology and Chemistry. 47. 167–180. 14 indexed citations
11.
Oprea, Tudor I., Elebeoba E. May, Andrei Leitão, & Alexander Tropsha. (2010). Computational Systems Chemical Biology. Methods in molecular biology. 672. 459–488. 19 indexed citations
12.
May, Elebeoba E., Mladen A. Vouk, & Donald L. Bitzer. (2006). Classification of Escherichia coli K-12 ribosome binding sites. IEEE Engineering in Medicine and Biology Magazine. 25(1). 90–97. 4 indexed citations
13.
May, Elebeoba E., et al.. (2006). Simulating metabolism in Escherichia coli K-12 — A circuit-based approach. 277. 85–88. 1 indexed citations
14.
May, Elebeoba E., Mladen A. Vouk, Donald L. Bitzer, & David Rosnick. (2004). Coding theory based models for protein translation initiation in prokaryotic organisms. Biosystems. 76(1-3). 249–260. 18 indexed citations
15.
Wang, Xinheng, et al.. (2004). Review of application of coding theory in genetic sequence analysis. 71. 5–9. 2 indexed citations
16.
May, Elebeoba E.. (2004). Optimal generators for a systematic block code model of prokaryotic translation initiation. 3858–3860. 2 indexed citations
17.
May, Elebeoba E., Mladen A. Vouk, Donald L. Bitzer, & David Rosnick. (2004). An error-correcting code framework for genetic sequence analysis. Journal of the Franklin Institute. 341(1-2). 89–109. 33 indexed citations
18.
May, Elebeoba E.. (2003). Towards a Biological Coding Theory Discipline. 1(1). 5 indexed citations
19.
May, Elebeoba E., Mladen A. Vouk, Donald L. Bitzer, & David Rosnick. (2002). The ribosome as a table-driven convolutional decoder for the Escherichia coli K-12 translation initiation system. 4. 2466–2469. 9 indexed citations
20.
May, Elebeoba E., Mladen A. Vouk, Donald L. Bitzer, & David Rosnick. (2002). Constructing optimal convolutional code models for prokaryotic translation initiation. 2188–2189 vol.3. 3 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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