Inna Lysnyansky

81 total papers · 1.8k total citations
51 papers, 1.3k citations indexed

About

Inna Lysnyansky is a scholar working on Microbiology, Immunology and Epidemiology. According to data from OpenAlex, Inna Lysnyansky has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Microbiology, 30 papers in Immunology and 22 papers in Epidemiology. Recurrent topics in Inna Lysnyansky's work include Microbial infections and disease research (50 papers), Aquaculture disease management and microbiota (29 papers) and Herpesvirus Infections and Treatments (19 papers). Inna Lysnyansky is often cited by papers focused on Microbial infections and disease research (50 papers), Aquaculture disease management and microbiota (29 papers) and Herpesvirus Infections and Treatments (19 papers). Inna Lysnyansky collaborates with scholars based in Israel, United States and United Kingdom. Inna Lysnyansky's co-authors include Sharon Levisohn, Roger D. Ayling, Inna Mikula, R. A. J. Nicholas, L.K. Fox, Maricarmen Garcı́a, Konrad Sachse, Salvatore Catania, David Yogev and Lawrence K. Fox and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Bacteriology.

In The Last Decade

Inna Lysnyansky

49 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Inna Lysnyansky 1.1k 670 376 294 275 51 1.3k
Ricardo F. Rosenbusch 1.4k 1.2× 688 1.0× 384 1.0× 202 0.7× 441 1.6× 69 1.6k
François Poumarat 1.6k 1.4× 890 1.3× 617 1.6× 312 1.1× 451 1.6× 63 1.7k
José B. Poveda 1.1k 1.0× 640 1.0× 364 1.0× 132 0.4× 365 1.3× 91 1.4k
L. Stipkovits 1.1k 1.0× 560 0.8× 225 0.6× 267 0.9× 416 1.5× 97 1.5k
Philip F. Markham 1.1k 1.0× 646 1.0× 407 1.1× 391 1.3× 638 2.3× 75 1.8k
Christian de la Fe 917 0.8× 569 0.8× 288 0.8× 93 0.3× 266 1.0× 94 1.2k
Edy M. Vilei 853 0.8× 444 0.7× 471 1.3× 161 0.5× 330 1.2× 41 1.2k
Katsumi KUME 1.0k 0.9× 303 0.5× 258 0.7× 156 0.5× 294 1.1× 72 1.4k
Ν. F. Friis 941 0.8× 312 0.5× 221 0.6× 136 0.5× 399 1.5× 61 1.1k
Steven J. Geary 1.4k 1.2× 713 1.1× 392 1.0× 380 1.3× 612 2.2× 61 1.7k

Countries citing papers authored by Inna Lysnyansky

Since Specialization
Citations

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

Fields of papers citing papers by Inna Lysnyansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inna Lysnyansky

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