Weronika Grabowska

29 total papers · 648 total citations
17 papers, 436 citations indexed

About

Weronika Grabowska is a scholar working on Complementary and alternative medicine, Physiology and Pharmacology. According to data from OpenAlex, Weronika Grabowska has authored 17 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Complementary and alternative medicine, 5 papers in Physiology and 4 papers in Pharmacology. Recurrent topics in Weronika Grabowska's work include Pain Mechanisms and Treatments (3 papers), Botulinum Toxin and Related Neurological Disorders (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Weronika Grabowska is often cited by papers focused on Pain Mechanisms and Treatments (3 papers), Botulinum Toxin and Related Neurological Disorders (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Weronika Grabowska collaborates with scholars based in United States, Germany and Poland. Weronika Grabowska's co-authors include Leah Graham, Gareth R. Howell, Peter M. Wayne, Ileana Soto, Jeffrey M. Hausdorff, Kamila Osypiuk, Gloria Vergara-Díaz, Lewis Sudarsky, Eric A. Macklin and Rhayun Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Weronika Grabowska

15 papers receiving 426 citations

Author Peers

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

Author						Papers	Cites
Weronika Grabowska	134	112	103	89	58	17	436
Nataša Klepac	124 0.9×	211 1.9×	129 1.3×	71 0.8×	62 1.1×	28	482
Cristina Fonte	86 0.6×	78 0.7×	114 1.1×	55 0.6×	22 0.4×	23	416
Ettore Muti	175 1.3×	27 0.2×	134 1.3×	41 0.5×	49 0.8×	17	459
Thays Martins Vital	169 1.3×	24 0.2×	159 1.5×	43 0.5×	28 0.5×	19	431
Joe Butchart	256 1.9×	49 0.4×	55 0.5×	162 1.8×	81 1.4×	14	481
Amie Hiller	72 0.5×	266 2.4×	84 0.8×	36 0.4×	68 1.2×	31	441
Jay C. Kwon	113 0.8×	97 0.9×	161 1.6×	69 0.8×	51 0.9×	24	405
Satoshi Tomita	111 0.8×	327 2.9×	52 0.5×	68 0.8×	46 0.8×	21	463
Mehmet Baktir	148 1.1×	27 0.2×	75 0.7×	67 0.8×	33 0.6×	11	417
Marian Shahid	122 0.9×	161 1.4×	37 0.4×	132 1.5×	65 1.1×	13	368

Countries citing papers authored by Weronika Grabowska

Since Specialization

Citations

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

Fields of papers citing papers by Weronika Grabowska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weronika Grabowska

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