Nina Lovan

9 total papers · 1.4k total citations
5 papers, 1.1k citations indexed

About

Nina Lovan is a scholar working on Pathology and Forensic Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, Nina Lovan has authored 5 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 2 papers in Epidemiology and 1 paper in Molecular Biology. Recurrent topics in Nina Lovan's work include Vitamin D Research Studies (3 papers), Vitamin C and Antioxidants Research (1 paper) and Respiratory viral infections research (1 paper). Nina Lovan is often cited by papers focused on Vitamin D Research Studies (3 papers), Vitamin C and Antioxidants Research (1 paper) and Respiratory viral infections research (1 paper). Nina Lovan collaborates with scholars based in United States. Nina Lovan's co-authors include Sif Hansdóttir, Gary W. Hunninghake, Martha M. Monick, Dwight C. Look, Linda S. Powers, Alicia K. Gerke, Michael S. Zhang, Katherine S. Walters, Hua Mo and Jason DeBruin and has published in prestigious journals such as The Journal of Immunology and Plant Biotechnology Journal.

In The Last Decade

Nina Lovan

5 papers receiving 1.0k 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 Lovan 491 257 233 216 194 5 1.1k
Jie Liao 748 1.5× 356 1.4× 162 0.7× 193 0.9× 98 0.5× 8 1.4k
Sheelagh Martindale 344 0.7× 199 0.8× 539 2.3× 168 0.8× 246 1.3× 15 1.3k
Dennis J. Wright 565 1.2× 275 1.1× 91 0.4× 233 1.1× 106 0.5× 12 1.1k
Olivier Dardenne 667 1.4× 338 1.3× 93 0.4× 63 0.3× 69 0.4× 23 1.3k
Anna Kłopot 343 0.7× 164 0.6× 48 0.2× 96 0.4× 50 0.3× 20 1.0k
Anja Wittke 852 1.7× 452 1.8× 279 1.2× 266 1.2× 111 0.6× 14 1.4k
Silke Overbeck 611 1.2× 599 2.3× 138 0.6× 65 0.3× 28 0.1× 12 1.3k
Rokeya Sultana Rekha 225 0.5× 201 0.8× 73 0.3× 246 1.1× 63 0.3× 31 1.3k
Lucinda Beck 327 0.7× 126 0.5× 322 1.4× 122 0.6× 59 0.3× 17 1.4k
Katherine Sanders 474 1.0× 145 0.6× 24 0.1× 286 1.3× 84 0.4× 14 1.1k

Countries citing papers authored by Nina Lovan

Since Specialization
Citations

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

Fields of papers citing papers by Nina Lovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Lovan

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Lovan. A scholar is included among the top collaborators of Nina Lovan 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 Lovan. Nina Lovan 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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