Dawid Szpecht

56 total papers · 581 total citations
38 papers, 381 citations indexed

About

Dawid Szpecht is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dawid Szpecht has authored 38 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 24 papers in Pediatrics, Perinatology and Child Health and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dawid Szpecht's work include Neonatal Respiratory Health Research (26 papers), Neonatal and fetal brain pathology (13 papers) and Retinopathy of Prematurity Studies (9 papers). Dawid Szpecht is often cited by papers focused on Neonatal Respiratory Health Research (26 papers), Neonatal and fetal brain pathology (13 papers) and Retinopathy of Prematurity Studies (9 papers). Dawid Szpecht collaborates with scholars based in Poland, Ireland and United Kingdom. Dawid Szpecht's co-authors include Janusz Gadzinowski, Marta Szymankiewicz, Agnieszka Seremak‐Mrozikiewicz, Grażyna Kurzawińska, Lukasz M. Karbowski, Krzysztof Drews, Roman Hożejowski, Anna Sowińska, Rafał Sibiak and Jacek Wachowiak and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and European Journal of Pharmaceutical Sciences.

In The Last Decade

Dawid Szpecht

36 papers receiving 367 citations

Author Peers

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

Author						Papers	Cites
Dawid Szpecht	228	212	60	54	47	38	381
Abdullah Kumral	124 0.5×	268 1.3×	116 1.9×	25 0.5×	25 0.5×	26	389
Vasiliki Soubasi	153 0.7×	160 0.8×	10 0.2×	42 0.8×	41 0.9×	28	356
Hans G. Keitel	93 0.4×	78 0.4×	18 0.3×	54 1.0×	45 1.0×	21	378
Hasan Kılıçdağ	175 0.8×	133 0.6×	34 0.6×	37 0.7×	7 0.1×	25	344
Nihal Oygür	125 0.5×	123 0.6×	26 0.4×	33 0.6×	8 0.2×	43	347
Belde Kasap	96 0.4×	133 0.6×	35 0.6×	27 0.5×	9 0.2×	43	395
Naoki Masaoka	202 0.9×	181 0.9×	70 1.2×	16 0.3×	6 0.1×	35	419
Norihisa Koyama	93 0.4×	146 0.7×	46 0.8×	28 0.5×	14 0.3×	47	341
Misao Kageyama	121 0.5×	125 0.6×	16 0.3×	7 0.1×	38 0.8×	43	378
Paraskevi Karagianni	141 0.6×	184 0.9×	21 0.3×	51 0.9×	15 0.3×	33	361

Countries citing papers authored by Dawid Szpecht

Since Specialization

Citations

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

Fields of papers citing papers by Dawid Szpecht

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawid Szpecht

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