Tomasz Gąsior

51 total papers · 1.1k total citations
26 papers, 399 citations indexed

About

Tomasz Gąsior is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tomasz Gąsior has authored 26 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 9 papers in Epidemiology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tomasz Gąsior's work include Cardiac Valve Diseases and Treatments (11 papers), Infective Endocarditis Diagnosis and Management (9 papers) and Cardiovascular Function and Risk Factors (4 papers). Tomasz Gąsior is often cited by papers focused on Cardiac Valve Diseases and Treatments (11 papers), Infective Endocarditis Diagnosis and Management (9 papers) and Cardiovascular Function and Risk Factors (4 papers). Tomasz Gąsior collaborates with scholars based in Poland, Germany and Canada. Tomasz Gąsior's co-authors include Grzegorz Węgrzyn, Sylwia Bloch, Bożena Nejman-Faleńczyk, Aleksandra Dydecka, Gracja Topka, Alicja Węgrzyn, Agnieszka Necel, Malwina Richert, Agata Jurczak-Kurek and Borys Wróbel and has published in prestigious journals such as Scientific Reports, Computers in Human Behavior and Frontiers in Microbiology.

In The Last Decade

Tomasz Gąsior

20 papers receiving 393 citations

Author Peers

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

Author						Papers	Cites
Tomasz Gąsior	280	130	104	101	64	26	399
Zbigniew Wyżewski	186 0.7×	144 1.1×	87 0.8×	81 0.8×	17 0.3×	24	415
Guangqian Pei	251 0.9×	175 1.3×	78 0.8×	115 1.1×	69 1.1×	33	387
Saibal K. Poddar	68 0.2×	110 0.8×	109 1.0×	72 0.7×	18 0.3×	24	363
Anil Thachil	46 0.2×	95 0.7×	151 1.5×	63 0.6×	58 0.9×	27	415
Yinchu Zhu	38 0.1×	83 0.6×	140 1.3×	51 0.5×	93 1.5×	40	417
André Broes	109 0.4×	31 0.2×	118 1.1×	141 1.4×	110 1.7×	30	363
Saadia Naseem	89 0.3×	108 0.8×	111 1.1×	24 0.2×	14 0.2×	25	437
Josephine Grützke	83 0.3×	126 1.0×	107 1.0×	12 0.1×	49 0.8×	17	396
Fabien Labroussaa	114 0.4×	110 0.8×	87 0.8×	141 1.4×	14 0.2×	29	416
Awa Diop	76 0.3×	248 1.9×	89 0.9×	47 0.5×	38 0.6×	34	435

Countries citing papers authored by Tomasz Gąsior

Since Specialization

Citations

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

Fields of papers citing papers by Tomasz Gąsior

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Gąsior

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