Marcin Śniadecki

55 total papers · 413 total citations
30 papers, 253 citations indexed

About

Marcin Śniadecki is a scholar working on Obstetrics and Gynecology, Epidemiology and Molecular Biology. According to data from OpenAlex, Marcin Śniadecki has authored 30 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Obstetrics and Gynecology, 10 papers in Epidemiology and 8 papers in Molecular Biology. Recurrent topics in Marcin Śniadecki's work include Endometrial and Cervical Cancer Treatments (10 papers), Cervical Cancer and HPV Research (8 papers) and Ovarian cancer diagnosis and treatment (7 papers). Marcin Śniadecki is often cited by papers focused on Endometrial and Cervical Cancer Treatments (10 papers), Cervical Cancer and HPV Research (8 papers) and Ovarian cancer diagnosis and treatment (7 papers). Marcin Śniadecki collaborates with scholars based in Poland, Switzerland and United States. Marcin Śniadecki's co-authors include Dariusz Wydra, Sambor Sawicki, Janusz Szemraj, Maciej Cedzyński, Anna S. Świerzko, Agnieszka Szala, Magdalena Ratajska, Jarosław Dębniak, Izabela Brożek and Janusz Limon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Marcin Śniadecki

24 papers receiving 251 citations

Author Peers

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

Author Last Decade Papers Cites
Marcin Śniadecki 92 69 62 57 50 30 253
Kristen Bunch 139 1.5× 39 0.6× 99 1.6× 63 1.1× 49 1.0× 18 308
Yuichi Imai 136 1.5× 40 0.6× 109 1.8× 84 1.5× 28 0.6× 23 295
Celeste Yu 94 1.0× 38 0.6× 73 1.2× 55 1.0× 87 1.7× 27 267
Koji Nishino 113 1.2× 39 0.6× 87 1.4× 22 0.4× 40 0.8× 20 256
M. Kiechle‐Schwarz 102 1.1× 72 1.0× 98 1.6× 17 0.3× 81 1.6× 23 319
Chie Kikutake 115 1.3× 24 0.3× 51 0.8× 53 0.9× 58 1.2× 28 268
F. Khomsi 51 0.6× 47 0.7× 80 1.3× 21 0.4× 63 1.3× 31 296
Ajit Paintal 88 1.0× 19 0.3× 95 1.5× 31 0.5× 54 1.1× 24 322
Naomi Ohtsuji 90 1.0× 15 0.2× 69 1.1× 99 1.7× 47 0.9× 23 295
Giacomo Santandrea 93 1.0× 19 0.3× 114 1.8× 29 0.5× 65 1.3× 23 275

Countries citing papers authored by Marcin Śniadecki

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Śniadecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Śniadecki

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