Lerna Uzasci

10 total papers · 440 total citations
8 papers, 362 citations indexed

About

Lerna Uzasci is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Virology. According to data from OpenAlex, Lerna Uzasci has authored 8 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Virology. Recurrent topics in Lerna Uzasci's work include Cell Image Analysis Techniques (3 papers), HIV Research and Treatment (3 papers) and bioluminescence and chemiluminescence research (3 papers). Lerna Uzasci is often cited by papers focused on Cell Image Analysis Techniques (3 papers), HIV Research and Treatment (3 papers) and bioluminescence and chemiluminescence research (3 papers). Lerna Uzasci collaborates with scholars based in United States and Portugal. Lerna Uzasci's co-authors include Bruce R. Branchini, Tara L. Southworth, Hugo Fraga, Martha H. Murtiashaw, Robert J. Cotter, Avindra Nath, Danielle M. Fontaine, Mario A. Bianchet, Marc Zimmer and Carol Anderson and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and Analytical Biochemistry.

In The Last Decade

Lerna Uzasci

8 papers receiving 355 citations

Author Peers

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

Author						Papers	Cites
Lerna Uzasci	280	144	78	76	36	8	362
Ye Wang	111 0.4×	59 0.4×	35 0.4×	77 1.0×	4 0.1×	15	363
David C. DeWitt	186 0.7×	72 0.5×	5 0.1×	17 0.2×	31 0.9×	10	367
Siddharth Nanguneri	103 0.4×	68 0.5×	19 0.2×	91 1.2×	2 0.1×	7	343
Oleg V. Podgorny	216 0.8×	58 0.4×	20 0.3×	42 0.6×	2 0.1×	25	396
Timothy F. Miles	230 0.8×	74 0.5×	16 0.2×	14 0.2×	4 0.1×	9	334
Abhi Aggarwal	209 0.7×	100 0.7×	38 0.5×	92 1.2×		10	319
Benoît Lombardot	162 0.6×	26 0.2×	10 0.1×	46 0.6×	10 0.3×	11	310
Daniel Böning	162 0.6×	66 0.5×	20 0.3×	20 0.3×	3 0.1×	8	334
Alyssa Rosenbloom	157 0.6×	109 0.8×	38 0.5×	44 0.6×		7	303
Sine Yaganoglu	241 0.9×	65 0.5×	32 0.4×	17 0.2×	10 0.3×	4	311

Countries citing papers authored by Lerna Uzasci

Since Specialization

Citations

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

Fields of papers citing papers by Lerna Uzasci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lerna Uzasci

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