Elzbieta Slodkowska

3.2k citations
65 papers · 2.1k indexed · 1 hit paper · h-index 24
Topics
Breast Cancer Treatment Studies (21 papers)Breast Lesions and Carcinomas (12 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Elzbieta Slodkowska

62 papers receiving 2.1k citations

Hit Papers

The HER-2 Receptor and Breast Cancer: Ten Years of Target...20092026201420202009250500750

Peers

Elzbieta Slodkowska
Comparison fields: 5 of 101
  • Oncology 1.2k
  • Radiology, Nuclear Medicine and Imaging 703
  • Cancer Research 669
  • Molecular Biology 496
  • Pulmonary and Respiratory Medicine 315
Replace Marie‐Christine Mathieu with:
Marie‐Christine Mathieu France
Kenneth J. Bloom United States
Ingrid M. Meszoely United States
Sadako Akashi‐Tanaka Japan
Oumar Camara Germany
G. Viale Italy
Dmitry Turbin Canada
Naoki Hayashi Japan
Fredrik Wärnberg Sweden
Naoki Niikura Japan
Elzbieta Slodkowska relative to Marie‐Christine Mathieu France Marie‐Christine Mathieu's profile →
Citations per field
00.5×2.6×
Marie‐Christine Mathieu · 1×
Citations per year

Countries citing papers authored by Elzbieta Slodkowska

Since Specialization
Citations

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

Fields of papers citing papers by Elzbieta Slodkowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elzbieta Slodkowska

This figure shows the co-authorship network connecting the top 25 collaborators of Elzbieta Slodkowska. A scholar is included among the top collaborators of Elzbieta Slodkowska 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 Elzbieta Slodkowska. Elzbieta Slodkowska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 4
3 3
4 0
5 4
6 11
7 48
8 2
9 30
10 24
11 30
12 42
13 16
14 4
15 53
16 26
17 18
18 5
19 39
20 80

About Elzbieta Slodkowska

Elzbieta Slodkowska is a scholar working on Cancer Research, Microbiology and Family Practice, having authored 65 papers that have together received 2.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (21 papers), Breast Lesions and Carcinomas (12 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Cancer Research (669 citations), Oncology (1.2k citations) and Radiology, Nuclear Medicine and Imaging (703 citations). Elzbieta Slodkowska has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Jeffrey S. Ross, W. Fraser Symmans, Gabriel N. Hortobágyi, Peter M. Ravdin, Lajos Pusztai, Sharon Nofech‐Mozes, Bin Xu, Wedad Hanna, Fang‐I Lu and Ali Sadeghi‐Naini. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

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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