Jadwiga Biénkowska
- Molecular Biology top 10%
- Protein Structure and Dynamics 10
- RNA and protein synthesis mechanisms 8
- Gene expression and cancer classification 7
- Bioinformatics and Genomic Networks 7
- Molecular Biology Techniques and Applications 6
- Single-cell and spatial transcriptomics 5
- Immunology top 10%
- Genetics top 10%
- Immunology and Allergy top 10%
- Biotechnology top 10%
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- Cancer Genomics and Diagnostics 5
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- Systemic Lupus Erythematosus Research 5
- Co-authors
- Robert LiddingtonCarlo PetosaR. John CollierDong LiuRobert SchwarzenbacherStephen H. LepplaMartin RenatusPhilip C. Hanna
- Cited by
- Molecular BiologyImmunologyGenetics
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Jadwiga Biénkowska
42 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.1k
- Immunology 268
- Genetics 309
- Immunology and Allergy 50
- Biotechnology 63
Countries citing papers authored by Jadwiga Biénkowska
This map shows the geographic impact of Jadwiga Biénkowska'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 Jadwiga Biénkowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jadwiga Biénkowska more than expected).
Fields of papers citing papers by Jadwiga Biénkowska
This network shows the impact of papers produced by Jadwiga Biénkowska. 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 Jadwiga Biénkowska. The network helps show where Jadwiga Biénkowska may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jadwiga Biénkowska, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2020 | 3 | |
| 5 | 2020 | 113 | |
| 6 | 2019 | 23 | |
| 7 | 2015 | 9 | |
| 8 | 2013 | 11 | |
| 9 | 2009 | 36 | |
| 10 | 2008 | 3 | |
| 11 | 2008 | 3 | |
| 12 | 2007 | 146 | |
| 13 | 2007 | 4 | |
| 14 | 2005 | 0 | |
| 15 | 2001 | 298 | |
| 16 | 2000 | 11 | |
| 17 | 1999 | 5 | |
| 18 | 1997 | 102 | |
| 19 | 1997 | 37 | |
| 20 | 1995 | 450 |
About Jadwiga Biénkowska
Jadwiga Biénkowska is a scholar working on Molecular Biology, Cancer Research and Rheumatology, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), RNA and protein synthesis mechanisms (8 papers), Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (7 papers), Molecular Biology Techniques and Applications (6 papers), Single-cell and spatial transcriptomics (5 papers), Cancer Genomics and Diagnostics (5 papers) and Systemic Lupus Erythematosus Research (5 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Immunology (268 citations) and Genetics (309 citations). Jadwiga Biénkowska has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Robert Liddington, Carlo Petosa, R. John Collier, Dong Liu, Robert Schwarzenbacher, Stephen H. Leppla, Martin Renatus, Philip C. Hanna, Tien Yin Wong and D. Borden Lacy. Their work appears in journals such as Nature, Physical Review Letters and Nucleic Acids Research.
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.