Anežka Sharma

18 total papers · 636 total citations
9 papers, 488 citations indexed

About

Anežka Sharma is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Dermatology. According to data from OpenAlex, Anežka Sharma has authored 9 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health, Toxicology and Mutagenesis, 3 papers in Cancer Research and 2 papers in Dermatology. Recurrent topics in Anežka Sharma's work include Air Quality and Health Impacts (3 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Toxic Organic Pollutants Impact (2 papers). Anežka Sharma is often cited by papers focused on Air Quality and Health Impacts (3 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Toxic Organic Pollutants Impact (2 papers). Anežka Sharma collaborates with scholars based in Czechia, Switzerland and Norway. Anežka Sharma's co-authors include Martin Scheringer, Brij Mohan Sharma, Luca Nizzetto, Girija K. Bharat, Jana Klánová, P. G. Whitehead, Jitka Bečanová, Pavel Čupr, Naouale El Yamani and Andrew Collins and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Anežka Sharma

9 papers receiving 482 citations

Hit Papers

Health and ecological ris... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Anežka Sharma 274 196 108 61 54 9 488
Kalu I. Ekpeghere 313 1.1× 251 1.3× 56 0.5× 55 0.9× 35 0.6× 12 496
Diana Montes‐Grajales 169 0.6× 178 0.9× 54 0.5× 44 0.7× 27 0.5× 15 530
Adrià Sunyer‐Caldú 207 0.8× 144 0.7× 59 0.5× 46 0.8× 44 0.8× 21 411
W. Hartl 303 1.1× 296 1.5× 68 0.6× 86 1.4× 40 0.7× 9 499
Binni Ma 342 1.2× 272 1.4× 58 0.5× 45 0.7× 23 0.4× 10 475
Anna Ofrydopoulou 278 1.0× 94 0.5× 90 0.8× 88 1.4× 87 1.6× 19 544
Ki Yong Kim 252 0.9× 254 1.3× 66 0.6× 56 0.9× 40 0.7× 13 538
Akinranti S. Ajibola 370 1.4× 221 1.1× 95 0.9× 124 2.0× 37 0.7× 18 527
Laura Martín-Pozo 214 0.8× 191 1.0× 36 0.3× 126 2.1× 62 1.1× 23 498
Nicolas Cimetière 149 0.5× 185 0.9× 142 1.3× 90 1.5× 43 0.8× 22 426

Countries citing papers authored by Anežka Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Anežka Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anežka Sharma

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