Adaoha Ihekwaba

1.8k total citations · 1 hit paper
20 papers, 1.4k citations indexed

About

Adaoha Ihekwaba is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Adaoha Ihekwaba has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Neurology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Adaoha Ihekwaba's work include Gene Regulatory Network Analysis (10 papers), Protein Structure and Dynamics (3 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). Adaoha Ihekwaba is often cited by papers focused on Gene Regulatory Network Analysis (10 papers), Protein Structure and Dynamics (3 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). Adaoha Ihekwaba collaborates with scholars based in United Kingdom, Italy and Colombia. Adaoha Ihekwaba's co-authors include Neil Benson, Rachel L. Grimley, D.S. Broomhead, Douglas B. Kell, Michael White, Malcolm C. Elliott, Glyn Nelson, Heather P. McDowell, John Unitt and David E. Nelson and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of Bacteriology.

In The Last Decade

Adaoha Ihekwaba

18 papers receiving 1.3k citations

Hit Papers

Oscillations in NF-κB Signaling Control the Dynamics of G... 2004 2026 2011 2018 2004 250 500 750

Peers

Adaoha Ihekwaba
Irene Papatheodorou United Kingdom
Mark E. Schurdak United States
Fabien Campagne United States
Rachel L. Grimley United Kingdom
Xusheng Wang United States
Pawel Paszek United Kingdom
Adaoha Ihekwaba
Citations per year, relative to Adaoha Ihekwaba Adaoha Ihekwaba (= 1×) peers Venkata Satagopam

Countries citing papers authored by Adaoha Ihekwaba

Since Specialization
Citations

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

Fields of papers citing papers by Adaoha Ihekwaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adaoha Ihekwaba

This figure shows the co-authorship network connecting the top 25 collaborators of Adaoha Ihekwaba. A scholar is included among the top collaborators of Adaoha Ihekwaba 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 Adaoha Ihekwaba. Adaoha Ihekwaba 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.
Ralebitso-Senior, T. Komang, Francesca Giuntini, Amos A. Fatokun, et al.. (2025). Spermine Enhances the Peroxidase Activities of Multimeric Antiparallel G-quadruplex DNAzymes. Biosensors. 15(1). 12–12.
2.
Okpuzor, Joy, et al.. (2023). A Genetic Circuit Design for Targeted Viral RNA Degradation. Bioengineering. 11(1). 22–22.
3.
Lecca, Paola & Adaoha Ihekwaba. (2022). Dynamic Modelling of DNA Repair Pathway at the Molecular Level: A New Perspective. Frontiers in Molecular Biosciences. 9. 878148–878148. 6 indexed citations
4.
Lecca, Paola, Iván Mura, Angela Re, Gary C. Barker, & Adaoha Ihekwaba. (2016). Time Series Analysis of the Bacillus subtilis Sporulation Network Reveals Low Dimensional Chaotic Dynamics. Frontiers in Microbiology. 7. 1760–1760. 4 indexed citations
5.
Ihekwaba, Adaoha, Iván Mura, John Walshaw, Michael W. Peck, & Gary C. Barker. (2016). An Integrative Approach to Computational Modelling of the Gene Regulatory Network Controlling Clostridium botulinum Type A1 Toxin Production. PLoS Computational Biology. 12(11). e1005205–e1005205. 9 indexed citations
6.
Ihekwaba, Adaoha, Iván Mura, Michael W. Peck, & Gary C. Barker. (2015). The pattern of growth observed forClostridium botulinumtype A1 strain ATCC 19397 is influenced by nutritional status and quorum sensing: a modelling perspective. Pathogens and Disease. 73(9). ftv084–ftv084. 4 indexed citations
7.
Ihekwaba, Adaoha, Iván Mura, Pradeep K. Malakar, et al.. (2015). New Elements To Consider When Modeling the Hazards Associated with Botulinum Neurotoxin in Food. Journal of Bacteriology. 198(2). 204–211. 5 indexed citations
8.
Ihekwaba, Adaoha, Iván Mura, & Gary C. Barker. (2014). Computational modelling and analysis of the molecular network regulating sporulation initiation in Bacillus subtilis. BMC Systems Biology. 8(1). 119–119. 6 indexed citations
9.
Ihekwaba, Adaoha & Sean Sedwards. (2011). Communicating oscillatory networks: frequency domain analysis. BMC Systems Biology. 5(1). 203–203. 3 indexed citations
10.
L’Episcopo, Francesca, Cataldo Tirolo, Nunzio Testa, et al.. (2010). Reactive astrocytes and Wnt/β-catenin signaling link nigrostriatal injury to repair in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine model of Parkinson's disease. Neurobiology of Disease. 41(2). 508–527. 161 indexed citations
11.
Lecca, Paola, Lorenzo Dematté, Adaoha Ihekwaba, & Corrado Priami. (2010). Redi: A Simulator of Stochastic Biochemical Reaction-Diffusion Systems. View. 181. 82–87. 1 indexed citations
12.
Lecca, Paola, Alida Palmisano, & Adaoha Ihekwaba. (2010). Correlation-Based Network Inference and Modelling in Systems Biology: The NF-kappa B Signalling Network Case Study. View. 13. 170–175. 2 indexed citations
13.
Lecca, Paola, Adaoha Ihekwaba, Lorenzo Dematté, & Corrado Priami. (2010). Stochastic simulation of the spatio-temporal dynamics of reaction-diffusion systems: the case for the bicoid gradient. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 7(1). 5 indexed citations
14.
Lecca, Paola, Adaoha Ihekwaba, Lorenzo Dematté, & Corrado Priami. (2010). Stochastic simulation of the spatio-temporal dynamics of reaction-diffusion systems: the case for the bicoid gradient. SHILAP Revista de lepidopterología. 7(1). 150–150. 6 indexed citations
15.
Lecca, Paola, Alida Palmisano, Adaoha Ihekwaba, & Corrado Priami. (2009). Calibration of dynamic models of biological systems with KInfer. European Biophysics Journal. 39(6). 1019–1039. 12 indexed citations
16.
Ihekwaba, Adaoha, Phuong Nguyen, & Corrado Priami. (2009). Elucidation of functional consequences of signalling pathway interactions. BMC Bioinformatics. 10(1). 370–370. 1 indexed citations
17.
Ihekwaba, Adaoha, Stephen J. Wilkinson, Dominic Waithe, et al.. (2007). Bridging the gap between in silico and cell‐based analysis of the nuclear factor‐κB signaling pathway by in vitro studies of IKK2. FEBS Journal. 274(7). 1678–1690. 16 indexed citations
18.
Ihekwaba, Adaoha, D.S. Broomhead, Rachel L. Grimley, et al.. (2005). Synergistic control of oscillations in the NF-B signalling pathway. PubMed. 152(3). 153–153. 42 indexed citations
19.
Ihekwaba, Adaoha, Neil Benson, Douglas B. Kell, D.S. Broomhead, & Rachel L. Grimley. (2004). Sensitivity analysis of parameters controlling oscillatory signalling in the NF-κB pathway: the roles of IKK and IκBα. PubMed. 1(1). 93–103. 109 indexed citations
20.
Nelson, David E., Adaoha Ihekwaba, Malcolm C. Elliott, et al.. (2004). Oscillations in NF-κB Signaling Control the Dynamics of Gene Expression. Science. 306(5696). 704–708. 960 indexed citations breakdown →

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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