Mariola Sadowska

1.4k citations
28 papers · 837 · h-index 17

Impact in

  • Oncology top 10%
    • Viral-associated cancers and disorders
    • Cancer-related Molecular Pathways
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • Cancer therapeutics and mechanisms 5
    • Retinoids in leukemia and cellular processes 2
    • Viral-associated cancers and disorders 3

Mariola Sadowska

28 papers receiving 822 citations

Peers

Mariola Sadowska
Comparison fields: 5 of 78
  • Oncology 384
  • Virology 55
  • Infectious Diseases 103
  • Hematology 59
  • Pathology and Forensic Medicine 91
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Mariola Sadowska relative to Sudeh Izadmehr United States Sudeh Izadmehr's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mariola Sadowska

Since Specialization
Citations

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

Fields of papers citing papers by Mariola Sadowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mariola Sadowska, 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 Mariola Sadowska Line = papers co-authored together Mariola Sadowska links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003125
2 199793
3 201377
4 200558
5 201052
6 200452
7 201448
8 201446
9 201341
10 200436
11 201435
12 200527
13 201327
14 201621
15 201018
16 201518
17 201218
18 201013
19 201513
20 20169

About Mariola Sadowska

Mariola Sadowska is a scholar working on Molecular Biology, Oncology, Epidemiology, Organic Chemistry and Immunology, having authored 28 papers that have together received 837 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (5 papers), Cytomegalovirus and herpesvirus research (4 papers), Advanced Breast Cancer Therapies (3 papers), Viral-associated cancers and disorders (3 papers), Acute Myeloid Leukemia Research (3 papers), HIV Research and Treatment (3 papers), Hepatitis B Virus Studies (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Oncology (384 citations), Virology (55 citations), Infectious Diseases (103 citations), Hematology (59 citations) and Pathology and Forensic Medicine (91 citations). Mariola Sadowska has collaborated with scholars based in United States, Nigeria and Poland. Frequent co-authors include Marvin S. Reitz, Erwin Tschachler, Gary S. Hayward, Rena G. Lapidus, William Reid, Maria R. Baer, Martin J. Edelman, Ramachandra S. Hosmane, Robert C. Gallo and Ivana Gojo. Their work appears in journals such as Blood, Journal of Virology, Clinical Cancer Research, Virology and Bioorganic & Medicinal Chemistry.

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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