J. Sawicki

43 total papers · 638 total citations
29 papers, 478 citations indexed

About

J. Sawicki is a scholar working on Health, Toxicology and Mutagenesis, Water Science and Technology and Pollution. According to data from OpenAlex, J. Sawicki has authored 29 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, Toxicology and Mutagenesis, 9 papers in Water Science and Technology and 7 papers in Pollution. Recurrent topics in J. Sawicki's work include Environmental Toxicology and Ecotoxicology (12 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers) and Advanced oxidation water treatment (6 papers). J. Sawicki is often cited by papers focused on Environmental Toxicology and Ecotoxicology (12 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers) and Advanced oxidation water treatment (6 papers). J. Sawicki collaborates with scholars based in Poland, Belarus and Brazil. J. Sawicki's co-authors include Grzegorz Nałęcz‐Jawecki, Marek Trojanowicz, Przemysław Drzewicz, Joanna Mankiewicz‐Boczek, Katarzyna Izydorczyk, Michał Kaza, Anna Bojanowska-Czajka, Maciej Zalewski, Beata Sumorok and Agata Drobniewska and has published in prestigious journals such as The Science of The Total Environment, Chemosphere and Journal of Biomedical Materials Research.

In The Last Decade

J. Sawicki

27 papers receiving 441 citations

Author Peers

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

Author						Papers	Cites
J. Sawicki	204	176	140	74	55	29	478
К. Цекова	166 0.8×	178 1.0×	248 1.8×	47 0.6×	70 1.3×	31	519
Wander Gustavo Botero	188 0.9×	105 0.6×	112 0.8×	44 0.6×	39 0.7×	54	542
Hantong Qie	212 1.0×	128 0.7×	147 1.1×	84 1.1×	35 0.6×	19	514
Yu Huang	185 0.9×	192 1.1×	136 1.0×	46 0.6×	35 0.6×	18	458
Langping Wu	233 1.1×	236 1.3×	108 0.8×	47 0.6×	58 1.1×	25	488
Jiaxi Tang	201 1.0×	97 0.6×	81 0.6×	54 0.7×	34 0.6×	31	476
Jiangmin Zhou	169 0.8×	146 0.8×	191 1.4×	47 0.6×	50 0.9×	45	529
Helle Marcussen	208 1.0×	155 0.9×	89 0.6×	51 0.7×	39 0.7×	21	437
Yitao Lyu	297 1.5×	164 0.9×	86 0.6×	93 1.3×	29 0.5×	22	524
Hang Ma	262 1.3×	133 0.8×	136 1.0×	46 0.6×	27 0.5×	19	536

Countries citing papers authored by J. Sawicki

Since Specialization

Citations

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

Fields of papers citing papers by J. Sawicki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Sawicki

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