Ewa Niżankowska

25 total papers · 1.4k total citations
15 papers, 1.0k citations indexed

About

Ewa Niżankowska is a scholar working on Physiology, Pharmacology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ewa Niżankowska has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 11 papers in Pharmacology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ewa Niżankowska's work include Asthma and respiratory diseases (12 papers), Drug-Induced Adverse Reactions (10 papers) and Respiratory and Cough-Related Research (8 papers). Ewa Niżankowska is often cited by papers focused on Asthma and respiratory diseases (12 papers), Drug-Induced Adverse Reactions (10 papers) and Respiratory and Cough-Related Research (8 papers). Ewa Niżankowska collaborates with scholars based in Poland, Sweden and United States. Ewa Niżankowska's co-authors include Andrzej Szczeklik, A Szczeklik, Grażyna Bochenek, Lucyna Mastalerz, Barbro Dahlén, Sven‐Erik Dahlén, Krzysztof Nagraba, Maria Kumlin, Mamert Milewski and Linda J. Swanson and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Journal of Allergy and Clinical Immunology and Biochemical Pharmacology.

In The Last Decade

Ewa Niżankowska

13 papers receiving 976 citations

Author Peers

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

Author						Papers	Cites
Ewa Niżankowska	853	498	435	237	101	15	1.0k
Katharine M. Woessner	621 0.7×	519 1.0×	256 0.6×	288 1.2×	262 2.6×	35	1.1k
María Pilar Berges‐Gimeno	600 0.7×	782 1.6×	301 0.7×	191 0.8×	152 1.5×	18	1.1k
Frank Austen	444 0.5×	230 0.5×	222 0.5×	114 0.5×	22 0.2×	16	910
G Czerniawska-Mysik	594 0.7×	674 1.4×	166 0.4×	150 0.6×	34 0.3×	27	1.0k
William C. Howland	570 0.7×	130 0.3×	314 0.7×	386 1.6×	36 0.4×	19	872
Francis H. Chafee	309 0.4×	275 0.6×	112 0.3×	362 1.5×	210 2.1×	15	802
Tak H. Lee	736 0.9×	134 0.3×	319 0.7×	217 0.9×	10 0.1×	23	1.2k
Mitchell Glass	797 0.9×	85 0.2×	654 1.5×	344 1.5×	10 0.1×	22	1.1k
Carlos Fernández Vidaurre	615 0.7×	58 0.1×	452 1.0×	364 1.5×	14 0.1×	10	878
R. M. Watson	966 1.1×	73 0.1×	541 1.2×	405 1.7×	8 0.1×	20	1.2k

Countries citing papers authored by Ewa Niżankowska

Since Specialization

Citations

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

Fields of papers citing papers by Ewa Niżankowska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa Niżankowska

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