Renata Duchnowska

218 total papers · 2.0k total citations
67 papers, 1.1k citations indexed

About

Renata Duchnowska is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Renata Duchnowska has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Oncology, 38 papers in Pulmonary and Respiratory Medicine and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Renata Duchnowska's work include Brain Metastases and Treatment (25 papers), HER2/EGFR in Cancer Research (20 papers) and Lung Cancer Treatments and Mutations (17 papers). Renata Duchnowska is often cited by papers focused on Brain Metastases and Treatment (25 papers), HER2/EGFR in Cancer Research (20 papers) and Lung Cancer Treatments and Mutations (17 papers). Renata Duchnowska collaborates with scholars based in Poland, United States and Germany. Renata Duchnowska's co-authors include Jacek Jassem, Cezary Szczylik, Wojciech Biernat, Barbara Radecka, Bogumiła Czartoryska-Arłukowicz, Sibylle Loibl, Bartłomiej Grala, Karolina Skonieczna‐Żydecka, Karol Połom and Ted R. Hupp and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Renata Duchnowska

60 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Renata Duchnowska 716 527 305 186 153 67 1.1k
Michelangelo Russillo 584 0.8× 390 0.7× 419 1.4× 236 1.3× 154 1.0× 41 1.1k
Shannon Puhalla 678 0.9× 319 0.6× 401 1.3× 119 0.6× 202 1.3× 67 1.1k
Marlies Michl 692 1.0× 382 0.7× 165 0.5× 136 0.7× 193 1.3× 47 1.1k
Masato Shingyoji 510 0.7× 842 1.6× 381 1.2× 58 0.3× 182 1.2× 67 1.3k
Jarmo Kulmala 338 0.5× 321 0.6× 343 1.1× 125 0.7× 143 0.9× 51 1.0k
Jing Li 416 0.6× 483 0.9× 268 0.9× 164 0.9× 175 1.1× 62 1.1k
Lionel D’Hondt 309 0.4× 338 0.6× 363 1.2× 331 1.8× 178 1.2× 64 1.1k
Sharon Wilks 688 1.0× 404 0.8× 272 0.9× 94 0.5× 236 1.5× 49 949
Piera Balzarini 319 0.4× 499 0.9× 317 1.0× 65 0.3× 173 1.1× 46 988
Quchang Ouyang 713 1.0× 469 0.9× 177 0.6× 108 0.6× 248 1.6× 80 1.0k

Countries citing papers authored by Renata Duchnowska

Since Specialization
Citations

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

Fields of papers citing papers by Renata Duchnowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renata Duchnowska

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