Nina Lawrence

66 total papers · 1.3k total citations
39 papers, 723 citations indexed

About

Nina Lawrence is a scholar working on Electronic, Optical and Magnetic Materials, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Nina Lawrence has authored 39 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electronic, Optical and Magnetic Materials, 14 papers in Public Health, Environmental and Occupational Health and 12 papers in Molecular Biology. Recurrent topics in Nina Lawrence's work include Nonlinear Optical Materials Research (15 papers), Malaria Research and Control (13 papers) and Crystal structures of chemical compounds (9 papers). Nina Lawrence is often cited by papers focused on Nonlinear Optical Materials Research (15 papers), Malaria Research and Control (13 papers) and Crystal structures of chemical compounds (9 papers). Nina Lawrence collaborates with scholars based in South Africa, Switzerland and India. Nina Lawrence's co-authors include T. Uma Devi, R. Ramesh Babu, K. Ramamurthi, S. Gowri, D. Sajan, S. Selvanayagam, Dale Taylor, G. Bhagavannarayana, Kelly Chibale and Mathew Njoroge and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Nina Lawrence

39 papers receiving 688 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nina Lawrence 308 195 152 136 133 39 723
V. Viswanathan 204 0.7× 249 1.3× 137 0.9× 85 0.6× 124 0.9× 76 693
Barbara J. Oleksyn 102 0.3× 433 2.2× 112 0.7× 102 0.8× 218 1.6× 56 814
Nora B. Okulik 131 0.4× 300 1.5× 136 0.9× 107 0.8× 141 1.1× 48 722
N. Martin 194 0.6× 198 1.0× 222 1.5× 53 0.4× 180 1.4× 35 818
Ysaías J. Alvarado 90 0.3× 353 1.8× 88 0.6× 112 0.8× 170 1.3× 71 748
K. Nagarajan 270 0.9× 96 0.5× 190 1.3× 116 0.9× 88 0.7× 46 714
Luiz Antônio S. Costa 125 0.4× 321 1.6× 156 1.0× 69 0.5× 74 0.6× 52 688
Prashant Kumar 78 0.3× 256 1.3× 52 0.3× 32 0.2× 38 0.3× 62 728
Gustavo Von Poelhsitz 129 0.4× 525 2.7× 117 0.8× 18 0.1× 210 1.6× 37 809
Scott Sneddon 47 0.2× 172 0.9× 273 1.8× 56 0.4× 129 1.0× 28 839

Countries citing papers authored by Nina Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by Nina Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Lawrence

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

All Works

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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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2026