Iwona Bestry

112 total papers · 502 total citations
53 papers, 329 citations indexed

About

Iwona Bestry is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Surgery. According to data from OpenAlex, Iwona Bestry has authored 53 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Pulmonary and Respiratory Medicine, 15 papers in Physiology and 9 papers in Surgery. Recurrent topics in Iwona Bestry's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (20 papers), Medical Imaging and Pathology Studies (11 papers) and Sarcoidosis and Beryllium Toxicity Research (8 papers). Iwona Bestry is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (20 papers), Medical Imaging and Pathology Studies (11 papers) and Sarcoidosis and Beryllium Toxicity Research (8 papers). Iwona Bestry collaborates with scholars based in Poland, Georgia and Iran. Iwona Bestry's co-authors include Elżbieta Radzikowska, Renata Langfort, Mariusz Chabowski, Elżbieta Wiatr, Kazimierz Roszkowski‐Śliż, Monika Szturmowicz, Piotr Rudziński, Jan Kuś, E Rowińska-Zakrzewska and Ewa Augustynowicz–Kopeć and has published in prestigious journals such as PLoS ONE, European Respiratory Journal and Advances in experimental medicine and biology.

In The Last Decade

Iwona Bestry

45 papers receiving 305 citations

Author Peers

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

Author						Papers	Cites
Iwona Bestry	229	68	64	53	47	53	329
Hayato Koba	179 0.8×	83 1.2×	49 0.8×	60 1.1×	31 0.7×	45	357
Makoto Hibino	139 0.6×	131 1.9×	62 1.0×	31 0.6×	58 1.2×	49	334
Mihailo Stjepanović	150 0.7×	71 1.0×	111 1.7×	56 1.1×	62 1.3×	73	366
Go Naka	125 0.5×	79 1.2×	57 0.9×	67 1.3×	23 0.5×	38	270
Payam Mehrian	100 0.4×	71 1.0×	26 0.4×	53 1.0×	126 2.7×	46	316
Naoki Watanabe	173 0.8×	110 1.6×	33 0.5×	36 0.7×	19 0.4×	35	314
Raım Iliaz	94 0.4×	48 0.7×	31 0.5×	63 1.2×	41 0.9×	37	272
Mitsuhiro Kishino	175 0.8×	49 0.7×	40 0.6×	37 0.7×	29 0.6×	40	362
Swaroop Revannasiddaiah	115 0.5×	104 1.5×	25 0.4×	24 0.5×	17 0.4×	55	314
Tomohiro Uto	174 0.8×	26 0.4×	45 0.7×	64 1.2×	27 0.6×	37	357

Countries citing papers authored by Iwona Bestry

Since Specialization

Citations

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

Fields of papers citing papers by Iwona Bestry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iwona Bestry

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