Jadwiga Biénkowska

2.6k total citations
43 papers, 1.7k citations indexed

About

Jadwiga Biénkowska is a scholar working on Molecular Biology, Rheumatology and Cancer Research. According to data from OpenAlex, Jadwiga Biénkowska has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 6 papers in Rheumatology and 6 papers in Cancer Research. Recurrent topics in Jadwiga Biénkowska's work include Protein Structure and Dynamics (10 papers), RNA and protein synthesis mechanisms (8 papers) and Gene expression and cancer classification (7 papers). Jadwiga Biénkowska is often cited by papers focused on Protein Structure and Dynamics (10 papers), RNA and protein synthesis mechanisms (8 papers) and Gene expression and cancer classification (7 papers). Jadwiga Biénkowska collaborates with scholars based in United States, United Kingdom and Italy. Jadwiga Biénkowska's co-authors include Robert Liddington, Carlo Petosa, R. John Collier, Dong Liu, Robert Schwarzenbacher, Stephen H. Leppla, Martin Renatus, Philip C. Hanna, Sukjoon Park and Tien Yin Wong and has published in prestigious journals such as Nature, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Jadwiga Biénkowska

42 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jadwiga Biénkowska United States 17 1.1k 309 268 179 106 43 1.7k
Colin Watanabe United States 16 2.4k 2.2× 220 0.7× 258 1.0× 166 0.9× 38 0.4× 18 3.0k
Robin A. Weinberg United States 15 802 0.7× 157 0.5× 100 0.4× 204 1.1× 50 0.5× 19 1.2k
Jack R. Barber United States 25 1.3k 1.2× 361 1.2× 281 1.0× 344 1.9× 56 0.5× 51 2.0k
Hiroto Yamaguchi Japan 15 1.1k 1.0× 158 0.5× 205 0.8× 146 0.8× 32 0.3× 28 1.9k
Vladimir Prassolov Russia 26 1.4k 1.3× 286 0.9× 230 0.9× 314 1.8× 25 0.2× 143 2.1k
Bryan K. Beattie Canada 16 1.7k 1.6× 452 1.5× 149 0.6× 291 1.6× 32 0.3× 18 2.1k
Jan van Oostrum Switzerland 30 1.8k 1.6× 426 1.4× 206 0.8× 274 1.5× 20 0.2× 70 2.6k
Frederick W. Muskett United Kingdom 26 1.4k 1.3× 196 0.6× 361 1.3× 405 2.3× 19 0.2× 59 2.3k
Ricardo Núñez Miguel United Kingdom 26 1.2k 1.1× 262 0.8× 256 1.0× 141 0.8× 14 0.1× 46 2.0k
Kumkum Saxena United States 10 1.4k 1.3× 141 0.5× 287 1.1× 230 1.3× 36 0.3× 16 2.2k

Countries citing papers authored by Jadwiga Biénkowska

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jadwiga Biénkowska

This figure shows the co-authorship network connecting the top 25 collaborators of Jadwiga Biénkowska. A scholar is included among the top collaborators of Jadwiga Biénkowska 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 Jadwiga Biénkowska. Jadwiga Biénkowska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kan, Zhengyan, Ji Wen, Vinícius Bonato, et al.. (2025). Real-world clinical multi-omics analyses reveal bifurcation of ER-independent and ER-dependent drug resistance to CDK4/6 inhibitors. Nature Communications. 16(1). 932–932. 3 indexed citations
2.
Huang, Zhaohui, YoSon Park, Jincheng Pang, & Jadwiga Biénkowska. (2023). Single-cell gene expression prediction using H and E images based on spatial transcriptomics. 4–4. 1 indexed citations
3.
Ford, Kyle, Samson Fong, Nongluk Plongthongkum, et al.. (2023). Multimodal perturbation analyses of cyclin-dependent kinases reveal a network of synthetic lethalities associated with cell-cycle regulation and transcriptional regulation. Scientific Reports. 13(1). 7678–7678. 4 indexed citations
4.
Liu, Xiaochuan, Jadwiga Biénkowska, & Wenyan Zhong. (2020). GeneTEFlow: A Nextflow-based pipeline for analysing gene and transposable elements expression from RNA-Seq data. PLoS ONE. 15(8). e0232994–e0232994. 3 indexed citations
5.
Veeneman, Brendan, Ying Gao, James H. Ahn, et al.. (2020). PINCER: improved CRISPR/Cas9 screening by efficient cleavage at conserved residues. Nucleic Acids Research. 48(17). 9462–9477. 6 indexed citations
6.
Zhong, Wenyan, Jeremy S. Myers, Fang Wang, et al.. (2020). Comparison of the molecular and cellular phenotypes of common mouse syngeneic models with human tumors. BMC Genomics. 21(1). 2–2. 113 indexed citations
7.
Rytlewski, Julie, Shibing Deng, Tao Xie, et al.. (2019). Model to improve specificity for identification of clinically-relevant expanded T cells in peripheral blood. PLoS ONE. 14(3). e0213684–e0213684. 23 indexed citations
8.
Simmons, Sean, Jian Peng, Jadwiga Biénkowska, & Bonnie Berger. (2015). Discovering What Dimensionality Reduction Really Tells Us About RNA-Seq Data. Journal of Computational Biology. 22(8). 715–728. 9 indexed citations
9.
Wisniacki, Diego A., Christopher Stebbins, Jadwiga Biénkowska, et al.. (2013). FRI0295 Urinary tweak predicts renal disease activity in patients with systemic lupus erythematosus over a 1 year period. Annals of the Rheumatic Diseases. 72. A474–A474. 2 indexed citations
10.
Biénkowska, Jadwiga, Gul S. Dalgin, Franak Batliwalla, et al.. (2009). Convergent random forest predictor: Methodology for predicting drug response from genome-scale data applied to anti-TNF response. Genomics. 94(6). 423–432. 36 indexed citations
11.
Martini, Paolo, Deanne Taylor, Jadwiga Biénkowska, et al.. (2008). Comparative expression analysis of four breast cancer subtypes versus matched normal tissue from the same patients. The Journal of Steroid Biochemistry and Molecular Biology. 109(3-5). 207–211. 3 indexed citations
12.
Allaire, Norm, Leila E. Rieder, Jadwiga Biénkowska, & John P. Carulli. (2008). Experimental comparison and cross-validation of Affymetrix HT plate and cartridge array gene expression platforms. Genomics. 92(5). 359–365. 3 indexed citations
13.
O’Lone, Raegan, Iris Z. Jaffe, Michael Schäffer, et al.. (2007). Estrogen Receptors α and β Mediate Distinct Pathways of Vascular Gene Expression, Including Genes Involved in Mitochondrial Electron Transport and Generation of Reactive Oxygen Species. Molecular Endocrinology. 21(6). 1281–1296. 146 indexed citations
14.
Carulli, John P., Franak Batliwalla, Chun‐Yu Liu, et al.. (2007). Genome-Wide SNP Scan Identifies Polymorphisms Associated with Differential Response to Anti-TNF Treatment Among Rheumatoid Arthritis Patients in the ABCoN Cohort. Clinical Immunology. 123. S92–S92. 4 indexed citations
15.
Biénkowska, Jadwiga. (2005). Computational characterization of proteins. Expert Review of Proteomics. 2(1). 129–138.
16.
Hayete, Boris & Jadwiga Biénkowska. (2004). GOTREES: PREDICTING GO ASSOCIATIONS FROM PROTEIN DOMAIN COMPOSITION USING DECISION TREES. PubMed. 127–138. 36 indexed citations
17.
Biénkowska, Jadwiga, et al.. (2000). Protein fold recognition by total alignment probability. Proteins Structure Function and Bioinformatics. 40(3). 451–462. 11 indexed citations
18.
Biénkowska, Jadwiga, et al.. (1999). Filtered neighbors threading. Proteins Structure Function and Bioinformatics. 37(3). 346–359. 5 indexed citations
19.
Biénkowska, Jadwiga, et al.. (1997). The von Willebrand Factor A3 Domain Does Not Contain a Metal Ion-dependent Adhesion Site Motif. Journal of Biological Chemistry. 272(40). 25162–25167. 102 indexed citations
20.
Liu, Dong, et al.. (1995). Crystal structure of the zeta isoform of the 14-3-3 protein. Nature. 376(6536). 191–194. 450 indexed citations

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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