Maria Rupińska

12 total papers · 881 total citations
9 papers, 553 citations indexed

About

Maria Rupińska is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Maria Rupińska has authored 9 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Pulmonary and Respiratory Medicine and 3 papers in Surgery. Recurrent topics in Maria Rupińska's work include Colorectal Cancer Screening and Detection (8 papers), Gastric Cancer Management and Outcomes (6 papers) and Genetic factors in colorectal cancer (2 papers). Maria Rupińska is often cited by papers focused on Colorectal Cancer Screening and Detection (8 papers), Gastric Cancer Management and Outcomes (6 papers) and Genetic factors in colorectal cancer (2 papers). Maria Rupińska collaborates with scholars based in Poland, Norway and France. Maria Rupińska's co-authors include Michał F. Kamiński, Jarosław Reguła, Maciej Rupiński, Paulina Wieszczy, Joanna Didkowska, Urszula Wojciechowska, Robert Franczyk, Marcin Polkowski, Jarek Kobiela and Jacek Pachlewski and has published in prestigious journals such as Gastroenterology, Gastrointestinal Endoscopy and Clinical Gastroenterology and Hepatology.

In The Last Decade

Maria Rupińska

9 papers receiving 549 citations

Hit Papers

Increased Rate of Adenoma... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Maria Rupińska 514 376 158 147 42 9 553
Robert Franczyk 491 1.0× 397 1.1× 109 0.7× 134 0.9× 44 1.0× 9 513
Peter W. Gieser 177 0.3× 284 0.8× 190 1.2× 87 0.6× 45 1.1× 9 559
Debra Hanks 402 0.8× 204 0.5× 58 0.4× 153 1.0× 47 1.1× 10 506
Jean‐Jacques Michels 337 0.7× 359 1.0× 110 0.7× 57 0.4× 33 0.8× 11 550
Chantal M. C. le Clercq 492 1.0× 383 1.0× 165 1.0× 141 1.0× 29 0.7× 8 528
F Citarda 539 1.0× 466 1.2× 234 1.5× 228 1.6× 16 0.4× 12 682
Chiara Fedato 440 0.9× 308 0.8× 134 0.8× 181 1.2× 57 1.4× 17 584
F. Loeve 483 0.9× 294 0.8× 243 1.5× 118 0.8× 11 0.3× 8 534
David K. Carter 519 1.0× 144 0.4× 86 0.5× 319 2.2× 47 1.1× 13 616
Denis Heresbach 447 0.9× 369 1.0× 66 0.4× 371 2.5× 29 0.7× 15 697

Countries citing papers authored by Maria Rupińska

Since Specialization
Citations

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

Fields of papers citing papers by Maria Rupińska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Rupińska

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