Shlomit Paz

85 total papers · 5.3k total citations
58 papers, 3.5k citations indexed

About

Shlomit Paz is a scholar working on Public Health, Environmental and Occupational Health, Health, Toxicology and Mutagenesis and Infectious Diseases. According to data from OpenAlex, Shlomit Paz has authored 58 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Public Health, Environmental and Occupational Health, 19 papers in Health, Toxicology and Mutagenesis and 18 papers in Infectious Diseases. Recurrent topics in Shlomit Paz's work include Viral Infections and Vectors (18 papers), Climate Change and Health Impacts (17 papers) and Mosquito-borne diseases and control (12 papers). Shlomit Paz is often cited by papers focused on Viral Infections and Vectors (18 papers), Climate Change and Health Impacts (17 papers) and Mosquito-borne diseases and control (12 papers). Shlomit Paz collaborates with scholars based in Israel, United States and France. Shlomit Paz's co-authors include Jan C. Semenza, H. Kutiel, Marianela Fader, Wolfgang Crämer, Andrea Toreti, Elena Xoplaki, Joël Guiot, Jean‐Pierre Gattuso, Maria Snoussi and Ana Iglesias and has published in prestigious journals such as PLoS ONE, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Shlomit Paz

55 papers receiving 3.4k citations

Hit Papers

Climate change and interc... 2018 2026 2020 2023 2018 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Shlomit Paz 1.2k 876 739 585 482 58 3.5k
Xavier Rodó 1.2k 1.0× 1.0k 1.2× 648 0.9× 856 1.5× 718 1.5× 108 4.4k
Madeleine C. Thomson 860 0.7× 1.9k 2.1× 737 1.0× 428 0.7× 563 1.2× 94 4.0k
Catherine Linard 2.2k 1.9× 817 0.9× 652 0.9× 457 0.8× 255 0.5× 100 5.3k
Andrew P. Morse 1.1k 0.9× 1.9k 2.2× 1.2k 1.6× 603 1.0× 673 1.4× 98 4.6k
Andrew C. Comrie 2.0k 1.7× 750 0.9× 738 1.0× 912 1.6× 1.9k 3.9× 82 4.9k
Shannon L. LaDeau 1.3k 1.1× 1.4k 1.6× 1.1k 1.5× 284 0.5× 321 0.7× 81 4.7k
Stephen J. Connor 1.9k 1.6× 1.7k 1.9× 612 0.8× 350 0.6× 1.7k 3.4× 62 5.0k
Yongli Cai 1.3k 1.1× 2.5k 2.8× 412 0.6× 934 1.6× 409 0.8× 145 5.5k
Justin V. Remais 391 0.3× 844 1.0× 603 0.8× 776 1.3× 124 0.3× 93 4.5k
Iain Lake 807 0.7× 643 0.7× 675 0.9× 727 1.2× 68 0.1× 127 4.7k

Countries citing papers authored by Shlomit Paz

Since Specialization
Citations

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

Fields of papers citing papers by Shlomit Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shlomit Paz

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