Monika Piwowar
- Co-authors
- Klaudia Stangel‐WójcikiewiczMarcin MajkaAntoni BastaRobert JachTadeusz UhlDanuta JarochaIrena RotermanLeszek Konieczny
- Topics
- Protein Structure and Dynamics (8 papers)Gene expression and cancer classification (7 papers)Bioinformatics and Genomic Networks (6 papers)
- Cited by
- UrologyRheumatologyCancer Research
- Journals
- PLoS ONEOncogeneScientific Reports
- Partner nations
- PolandUnited KingdomSweden
In The Last Decade
Monika Piwowar
53 papers receiving 470 citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 218
- Surgery 111
- Rheumatology 60
- Urology 58
- Cancer Research 51
Countries citing papers authored by Monika Piwowar
This map shows the geographic impact of Monika Piwowar'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 Monika Piwowar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monika Piwowar more than expected).
Fields of papers citing papers by Monika Piwowar
This network shows the impact of papers produced by Monika Piwowar. 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 Monika Piwowar. The network helps show where Monika Piwowar may publish in the future.
Co-authorship network of co-authors of Monika Piwowar
This figure shows the co-authorship network connecting the top 25 collaborators of Monika Piwowar. A scholar is included among the top collaborators of Monika Piwowar 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 Monika Piwowar. Monika Piwowar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 10 | |
| 9 | 19 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 12 | |
| 13 | 17 | |
| 14 | 24 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | Laparoscopic colpopexy technique performed with laparoscopic supracervical hysterectomy, total laparoscopic hysterectomy, and following total abdominal hysterectomy | 1 |
| 18 | "Genomic Virtual Patients" - the learning way not only for medical doctor. | 2 |
| 19 | 6 | |
| 20 | Massive identification of similarities in DNA materials organized in GRID environment | 0 |
About Monika Piwowar
Monika Piwowar is a scholar working on Anatomy, Orthopedics and Sports Medicine and Molecular Biology, having authored 63 papers that have together received 484 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Gene expression and cancer classification (7 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Urology (58 citations), Rheumatology (60 citations) and Cancer Research (51 citations). Monika Piwowar has collaborated with scholars based in Poland, United Kingdom and Sweden. Frequent co-authors include Klaudia Stangel‐Wójcikiewicz, Marcin Majka, Antoni Basta, Robert Jach, Tadeusz Uhl, Danuta Jarocha, Irena Roterman, Leszek Konieczny, Kinga A. Kocemba‐Pilarczyk and Barbara Zapała. Their work appears in journals such as PLoS ONE, Oncogene and Scientific Reports.
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.