H Ostrowska

741 citations
51 papers · 632 · h-index 16

Impact in

Papers in

    • Ubiquitin and proteasome pathways 23
    • Bone Metabolism and Diseases 3
    • S100 Proteins and Annexins 3
    • Protease and Inhibitor Mechanisms 13

H Ostrowska

47 papers receiving 620 citations

Peers

H Ostrowska
Comparison fields: 5 of 85
  • Cancer Research 112
  • Molecular Biology 393
  • Hematology 58
  • Cell Biology 88
  • Oncology 107
Replace Pushpankur Ghoshal with:
Pushpankur Ghoshal United States
Je-Ho Lee South Korea
Yanwen Zhou Japan
Rita Bisogni Italy
Marian L. Burr United Kingdom
Wenhu Pi United States
Qianghua Hu United States
Osman Çen United States
Claudia Fiorini Italy
H Ostrowska relative to Pushpankur Ghoshal United States Pushpankur Ghoshal's profile →
Citations per field
00.5×1.5×1.9×
Pushpankur Ghoshal · 1×
Citations per year

Countries citing papers authored by H Ostrowska

Since Specialization
Citations

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

Fields of papers citing papers by H Ostrowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199793
2 200043
3 200033
4 201632
5 201228
6 201128
7 200125
8 200325
9 200422
10 201621
11 201420
12 201420
13 200820
14 202019
15
Lysosomal high molecular weight multienzyme complex.
200317
16 201515
17 200815
18 200812
19 201512
20 199711

About H Ostrowska

H Ostrowska is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Cell Biology, having authored 51 papers that have together received 632 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (23 papers), Protease and Inhibitor Mechanisms (13 papers), Peptidase Inhibition and Analysis (5 papers), Multiple Myeloma Research and Treatments (4 papers), Autophagy in Disease and Therapy (4 papers), Platelet Disorders and Treatments (3 papers), Bone Metabolism and Diseases (3 papers) and S100 Proteins and Annexins (3 papers). The work is most often cited by research in Cancer Research (112 citations), Molecular Biology (393 citations), Hematology (58 citations), Cell Biology (88 citations) and Oncology (107 citations). H Ostrowska has collaborated with scholars based in Poland, United Kingdom and Japan. Frequent co-authors include K Worowski, Satoshi Ōmura, Cezary Wójcik, Marek Z. Wojtukiewicz, Leszek Kozłowski, Marzena Tylicka, Adam Hermanowicz, Piotr Radziwon, Wojciech Dębek and Ewa Matuszczak. Their work appears in journals such as Scandinavian Journal of Clinical and Laboratory Investigation, The International Journal of Biochemistry & Cell Biology, International Journal of Molecular Sciences, Platelets 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.

Explore authors with similar magnitude of impact