J Słodkowska

812 citations
63 papers · 643 · h-index 15

Impact in

  • Biophysics top 5%
    • Cell Image Analysis Techniques
    • Lung Cancer Research Studies
    • HER2/EGFR in Cancer Research

Papers in

    • Medical Imaging and Pathology Studies 5
    • Pleural and Pulmonary Diseases 4
    • Lung Cancer Treatments and Mutations 4
    • Neuroendocrine Tumor Research Advances 9
    • Meningioma and schwannoma management 4

J Słodkowska

59 papers receiving 618 citations

Peers

J Słodkowska
Comparison fields: 5 of 82
  • Biophysics 75
  • Oncology 142
  • Artificial Intelligence 177
  • Cancer Research 53
  • Pulmonary and Respiratory Medicine 97
Replace Panagiota Ravazoula with:
Panagiota Ravazoula Greece
Sukjoong Oh South Korea
Joaquín Jaén Spain
Giovanni Lujan United States
Richard Colling United Kingdom
Thomas Paulraj Thamboo Singapore
Lisa Browning United Kingdom
Carla Wauters Netherlands
Nolwenn Le Stang France
Andrey Bychkov Japan
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Citations per field
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Panagiota Ravazoula · 1×
Citations per year

Countries citing papers authored by J Słodkowska

Since Specialization
Citations

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

Fields of papers citing papers by J Słodkowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J Słodkowska, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J Słodkowska Line = papers co-authored together J Słodkowska links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010104
2 199948
3 201041
4 201034
5 201531
6 201027
7 199527
8
Expression of CEA and trophoblastic cell markers by lung carcinoma in association with histological characteristics and serum marker levels.
199825
9 200922
10 200522
11 200821
12 201120
13 198120
14 200119
15 201218
16 199814
17 201613
18 200611
19
Lung carcinoids. Tumor angiogenesis in relation to clinicopathologic characteristics.
19999
20 20108

About J Słodkowska

J Słodkowska is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Oncology, Molecular Biology and Artificial Intelligence, having authored 63 papers that have together received 643 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (9 papers), Lung Cancer Research Studies (8 papers), AI in cancer detection (7 papers), Medical Imaging and Pathology Studies (5 papers), Pleural and Pulmonary Diseases (4 papers), Meningioma and schwannoma management (4 papers), Gestational Trophoblastic Disease Studies (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Biophysics (75 citations), Oncology (142 citations), Artificial Intelligence (177 citations), Cancer Research (53 citations) and Pulmonary and Respiratory Medicine (97 citations). J Słodkowska has collaborated with scholars based in Poland, United States and Spain. Frequent co-authors include Gloria Bueno, E Rowińska-Zakrzewska, L Chyczewski, M Szturmowicz, Tomasz Markiewicz, P Rudziński, Bartłomiej Grala, Juliusz Pankowski, Marcial García Rojo and Wojciech Kozłowski. Their work appears in journals such as Respiration, Diagnostic Pathology, The International Journal of Biological Markers, Pathobiology and Tumor Biology.

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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