Mariola Sadowska

1.3k citations
28 papers · 789 · h-index 16

Impact in

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

Papers in

Mariola Sadowska

28 papers receiving 780 citations

Peers

Mariola Sadowska
Comparison fields: 5 of 82
  • Oncology 384
  • Virology 55
  • Cancer Research 83
  • Pathology and Forensic Medicine 97
  • Hematology 60
Replace Shannon P. Hilchey with:
Shannon P. Hilchey United States
Swapna Chaudhuri India
Daniel P. Ball United States
Christine Guntermann Switzerland
Yisong Wang China
Nianyu Li United States
Sudeh Izadmehr United States
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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 2003118
2 199788
3 201374
4 200555
5 201051
6 200447
7 201446
8 201441
9 201340
10 200436
11 201435
12 200526
13 201324
14 201518
15 201217
16 201616
17 201014
18 201512
19 201012
20 20169

About Mariola Sadowska

Mariola Sadowska is a scholar working on Molecular Biology, Oncology, Epidemiology, Organic Chemistry and Hematology, having authored 28 papers that have together received 789 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (5 papers), Acute Myeloid Leukemia Research (4 papers), Cytomegalovirus and herpesvirus research (4 papers), HIV Research and Treatment (3 papers), Viral-associated cancers and disorders (3 papers), Advanced Breast Cancer Therapies (3 papers), Mast cells and histamine (2 papers) and Synthesis and Biological Evaluation (2 papers). The work is most often cited by research in Oncology (384 citations), Virology (55 citations), Cancer Research (83 citations), Pathology and Forensic Medicine (97 citations) and Hematology (60 citations). Mariola Sadowska has collaborated with scholars based in United States, Austria and Poland. Frequent co-authors include Marvin S. Reitz, Gary S. Hayward, Erwin Tschachler, Rena G. Lapidus, William Reid, Maria R. Baer, Ramachandra S. Hosmane, Martin J. Edelman, Robert C. Gallo and Ivana Gojo. Their work appears in journals such as Blood, Journal of Virology, Clinical Cancer Research, Bioorganic & Medicinal Chemistry and Virology.

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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