Dan V. Nicolau

1.8k total citations
19 papers, 410 citations indexed

About

Dan V. Nicolau is a scholar working on Molecular Biology, Biomedical Engineering and Infectious Diseases. According to data from OpenAlex, Dan V. Nicolau has authored 19 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Biomedical Engineering and 3 papers in Infectious Diseases. Recurrent topics in Dan V. Nicolau's work include Modular Robots and Swarm Intelligence (3 papers), Mathematical Biology Tumor Growth (3 papers) and DNA and Biological Computing (3 papers). Dan V. Nicolau is often cited by papers focused on Modular Robots and Swarm Intelligence (3 papers), Mathematical Biology Tumor Growth (3 papers) and DNA and Biological Computing (3 papers). Dan V. Nicolau collaborates with scholars based in Australia, United Kingdom and Canada. Dan V. Nicolau's co-authors include Uwe R. Müller, Mona Bafadhel, Dan V. Nicolau, Pamela Burrage, Kevin Burrage, Lisen Wang, Elena N. Vasina, Abraham P. Lee, Kristi L. Hanson and Sebastian Wachsmann‐Hogiu and has published in prestigious journals such as Science, PLoS ONE and Small.

In The Last Decade

Dan V. Nicolau

19 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan V. Nicolau Australia	11	150	121	68	42	40	19	410
Anže Božič Slovenia	13	247 1.6×	127 1.0×	123 1.8×	57 1.4×	103 2.6×	32	739
Jialu Xu China	12	367 2.4×	94 0.8×	572 8.4×	44 1.0×	16 0.4×	45	1.1k
Katsuhiko Sato Japan	10	70 0.5×	134 1.1×	19 0.3×	8 0.2×	34 0.8×	26	347
Bashar Hamza United States	11	293 2.0×	180 1.5×	43 0.6×	13 0.3×	7 0.2×	20	800
Jakub Chojnacki Germany	15	318 2.1×	85 0.7×	174 2.6×	28 0.7×	13 0.3×	26	831
Salman S. Rogers United Kingdom	11	294 2.0×	105 0.9×	8 0.1×	6 0.1×	18 0.5×	14	590
Miho Ishii Japan	12	137 0.9×	64 0.5×	60 0.9×	5 0.1×	32 0.8×	42	516
Robert S. Manning United States	14	232 1.5×	135 1.1×	16 0.2×	4 0.1×	13 0.3×	27	557
Inbal Hecht Israel	13	176 1.2×	76 0.6×	48 0.7×	2 0.0×	23 0.6×	19	533
Daniel A. Koster Netherlands	11	695 4.6×	146 1.2×	11 0.2×	22 0.5×	44 1.1×	11	879

Countries citing papers authored by Dan V. Nicolau

Since Specialization

Citations

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

Fields of papers citing papers by Dan V. Nicolau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan V. Nicolau. 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 Dan V. Nicolau. The network helps show where Dan V. Nicolau may publish in the future.

Co-authorship network of co-authors of Dan V. Nicolau

This figure shows the co-authorship network connecting the top 25 collaborators of Dan V. Nicolau. A scholar is included among the top collaborators of Dan V. Nicolau 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 Dan V. Nicolau. Dan V. Nicolau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Nicolau, Dan V., Christine Mwasuku, Sanjay Ramakrishnan, et al.. (2024). Coordinated nasal mucosa-mediated immunity accelerates recovery from COVID-19. ERJ Open Research. 10(3). 919–2023. 2 indexed citations

Burrage, Pamela, et al.. (2024). Agent-based modeling for the tumor microenvironment (TME). Mathematical Biosciences & Engineering. 21(11). 7621–7647. 2 indexed citations

Baker, Jonathan, Mahdi Mahdi, Dan V. Nicolau, et al.. (2022). Early Th2 inflammation in the upper respiratory mucosa as a predictor of severe COVID-19 and modulation by early treatment with inhaled corticosteroids: a mechanistic analysis. The Lancet Respiratory Medicine. 10(6). 545–556. 33 indexed citations

Cope, Andrew P., et al.. (2022). Moving the pathway goalposts: COPD as an immune-mediated inflammatory disease. The Lancet Respiratory Medicine. 10(12). 1110–1113. 7 indexed citations

Fadai, Nabil T., et al.. (2021). Infection, inflammation and intervention: mechanistic modelling of epithelial cells in COVID-19. Journal of The Royal Society Interface. 18(175). 20200950–20200950. 18 indexed citations

Knejzlı́k, Zdeněk, Ayyappasamy Sudalaiyadum Perumal, Radek Jurok, et al.. (2021). Effect of physicochemical parameters on the stability and activity of garlic alliinase and its use for in-situ allicin synthesis. PLoS ONE. 16(3). e0248878–e0248878. 17 indexed citations

Korten, Till, Stefan Diez, Heiner Linke, Dan V. Nicolau, & Hillel Kugler. (2021). Design of network-based biocomputation circuits for the exact cover problem. New Journal of Physics. 23(8). 85004–85004. 10 indexed citations

Nicolau, Dan V. & Mona Bafadhel. (2020). Inhaled corticosteroids in virus pandemics: a treatment for COVID-19?. The Lancet Respiratory Medicine. 8(9). 846–847. 40 indexed citations

Burrage, Pamela, et al.. (2019). Mathematical Models of Cancer Cell Plasticity. Journal of Oncology. 2019. 1–14. 18 indexed citations

10.

Smith, Zachary J., et al.. (2019). Simple adaptive mobile phone screen illumination for dual phone differential phase contrast (DPDPC) microscopy. Biomedical Optics Express. 10(9). 4369–4369. 12 indexed citations

11.

Delft, F.C.M.J.M. van, Dan V. Nicolau, Ayyappasamy Sudalaiyadum Perumal, et al.. (2018). Something has to give: scaling combinatorial computing by biological agents exploring physical networks encoding NP-complete problems. Interface Focus. 8(6). 20180034–20180034. 17 indexed citations

12.

Burrage, Pamela, et al.. (2017). Environmental factors in breast cancer invasion: a mathematical modelling review. Pathology. 49(2). 172–180. 24 indexed citations

13.

Roman, Andrei, et al.. (2015). Cystic Hydatidosis of the Rib–Case Report and Review of the Literature. Annals of Thoracic and Cardiovascular Surgery. 21(5). 492–495. 7 indexed citations

14.

Bai, Fan, Richard W. Branch, Dan V. Nicolau, et al.. (2010). Conformational Spread as a Mechanism for Cooperativity in the Bacterial Flagellar Switch. Science. 327(5966). 685–689. 7 indexed citations

15.

Vasina, Elena N., et al.. (2008). The BAD project: data mining, database and prediction of protein adsorption on surfaces. Lab on a Chip. 9(7). 891–900. 51 indexed citations

16.

Nicolau, Dan V., Kevin Burrage, & Dan V. Nicolau. (2006). Computing with motile bio-agents. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6416. 64160S–64160S. 2 indexed citations

17.

Hanson, Kristi L., et al.. (2006). Fungi Use Efficient Algorithms for the Exploration of Microfluidic Networks. Small. 2(10). 1212–1220. 56 indexed citations

18.

Müller, Uwe R. & Dan V. Nicolau. (2005). Microarray Technology and Its Applications. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 81 indexed citations

19.

Nicolau, Dan V. & Dan V. Nicolau. (2002). <title>Database comprising biomolecular descriptors relevant to protein adsorption on microarray surfaces</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4626. 109–115. 6 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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