Katryna Cisek

1.5k total citations · 1 hit paper
24 papers, 1.1k citations indexed

About

Katryna Cisek is a scholar working on Molecular Biology, Epidemiology and Rehabilitation. According to data from OpenAlex, Katryna Cisek has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Epidemiology and 5 papers in Rehabilitation. Recurrent topics in Katryna Cisek's work include Acute Ischemic Stroke Management (6 papers), Stroke Rehabilitation and Recovery (5 papers) and Alzheimer's disease research and treatments (3 papers). Katryna Cisek is often cited by papers focused on Acute Ischemic Stroke Management (6 papers), Stroke Rehabilitation and Recovery (5 papers) and Alzheimer's disease research and treatments (3 papers). Katryna Cisek collaborates with scholars based in United States, Ireland and United Kingdom. Katryna Cisek's co-authors include Ian B. Jeffery, Anubhav Das, Fergus Shanahan, Paul W. O’Toole, Jeff Kuret, Eimear Hurley, Burkhardt Flemer, Ryan D. Warren, Maurice Barrett and Micheal O‘Riordain and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Gastroenterology.

In The Last Decade

Katryna Cisek

22 papers receiving 1.1k citations

Hit Papers

The oral microbiota in colorectal cancer is distinctive a... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katryna Cisek United States 13 635 282 255 147 93 24 1.1k
Jennifer Huynh Australia 20 497 0.8× 99 0.4× 449 1.8× 31 0.2× 19 0.2× 45 1.6k
Tianyu Zhang China 18 320 0.5× 59 0.2× 111 0.4× 37 0.3× 49 0.5× 55 971
Concetta Panebianco Italy 24 1.0k 1.6× 306 1.1× 343 1.3× 18 0.1× 45 0.5× 42 1.6k
Kenjiro Kami Japan 16 1.4k 2.2× 241 0.9× 205 0.8× 17 0.1× 28 0.3× 23 1.9k
Yuanfeng Gao China 21 1.0k 1.6× 179 0.6× 132 0.5× 10 0.1× 33 0.4× 55 1.5k
Gong‐Hao He China 17 515 0.8× 98 0.3× 181 0.7× 12 0.1× 30 0.3× 69 1.1k
Masayuki Furukawa Japan 25 424 0.7× 268 1.0× 507 2.0× 13 0.1× 44 0.5× 127 2.1k
Till Adhikary Germany 20 1.1k 1.8× 269 1.0× 368 1.4× 6 0.0× 43 0.5× 31 1.9k
Marianna Caterino Italy 27 934 1.5× 257 0.9× 147 0.6× 7 0.0× 54 0.6× 82 1.7k
Jingping Lu China 10 879 1.4× 170 0.6× 269 1.1× 7 0.0× 54 0.6× 15 1.5k

Countries citing papers authored by Katryna Cisek

Since Specialization
Citations

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

Fields of papers citing papers by Katryna Cisek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katryna Cisek

This figure shows the co-authorship network connecting the top 25 collaborators of Katryna Cisek. A scholar is included among the top collaborators of Katryna Cisek 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 Katryna Cisek. Katryna Cisek 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.
Cisek, Katryna, et al.. (2024). Predictors of social risk for post-ischemic stroke reintegration. Scientific Reports. 14(1). 10110–10110.
3.
García‐Rudolph, Alejandro, et al.. (2023). Know an Emotion by the Company It Keeps: Word Embeddings from Reddit/Coronavirus. Applied Sciences. 13(11). 6713–6713. 3 indexed citations
4.
Cisek, Katryna, et al.. (2022). Understanding and Predicting Cognitive Improvement of Young Adults in Ischemic Stroke Rehabilitation Therapy. Frontiers in Neurology. 13. 886477–886477. 4 indexed citations
5.
García‐Rudolph, Alejandro, Vince I. Madai, Dietmar Frey, et al.. (2022). Long-term trajectories of motor functional independence after ischemic stroke in young adults: Identification and characterization using inpatient baseline assessments. Neurorehabilitation. 50(4). 453–465. 3 indexed citations
6.
Jeffery, Ian B., Anubhav Das, Eileen O’Herlihy, et al.. (2019). Differences in Fecal Microbiomes and Metabolomes of People With vs Without Irritable Bowel Syndrome and Bile Acid Malabsorption. Gastroenterology. 158(4). 1016–1028.e8. 132 indexed citations
7.
Krochmal, Magdalena, Katryna Cisek, Szymon K. Filip, et al.. (2017). Identification of novel molecular signatures of IgA nephropathy through an integrative -omics analysis. Scientific Reports. 7(1). 9091–9091. 16 indexed citations
8.
Li, Lili, et al.. (2017). A simple optogenetic MAPK inhibitor design reveals resonance between transcription-regulating circuitry and temporally-encoded inputs. Nature Communications. 8(1). 15017–15017. 25 indexed citations
9.
10.
Flemer, Burkhardt, Ryan D. Warren, Maurice Barrett, et al.. (2017). The oral microbiota in colorectal cancer is distinctive and predictive. Gut. 67(8). 1454–1463. 451 indexed citations breakdown →
11.
Papadopoulos, Theofilos, Magdalena Krochmal, Katryna Cisek, et al.. (2016). Omics databases on kidney disease: where they can be found and how to benefit from them. Clinical Kidney Journal. 9(3). 343–352. 31 indexed citations
12.
Cisek, Katryna, Magdalena Krochmal, Julie Klein, & Harald Mischak. (2015). The application of multi-omics and systems biology to identify therapeutic targets in chronic kidney disease. Nephrology Dialysis Transplantation. 31(12). 2003–2011. 89 indexed citations
13.
Cisek, Katryna, et al.. (2014). Structure and Mechanism of Action of Tau Aggregation Inhibitors. Current Alzheimer Research. 11(10). 918–927. 76 indexed citations
14.
Cisek, Katryna, et al.. (2013). Structural Determinants of Tau Aggregation Inhibitor Potency. Journal of Biological Chemistry. 288(45). 32599–32611. 35 indexed citations
15.
Cisek, Katryna & Jeff Kuret. (2012). QSAR studies for prediction of cross-β sheet aggregate binding affinity and selectivity. Bioorganic & Medicinal Chemistry. 20(4). 1434–1441. 15 indexed citations
16.
Cisek, Katryna, et al.. (2012). Ligand electronic properties modulate tau filament binding site density. Biophysical Chemistry. 170. 25–33. 9 indexed citations
17.
Jensen, Jordan, Katryna Cisek, Nicolette S. Honson, & Jeff Kuret. (2011). Ligand polarizability contributes to tau fibril binding affinity. Bioorganic & Medicinal Chemistry. 19(17). 5147–5154. 15 indexed citations
18.
Murale, Dhiraj P., et al.. (2011). Structure–activity relationship of cyclic thiacarbocyanine tau aggregation inhibitors. Bioorganic & Medicinal Chemistry Letters. 21(11). 3273–3276. 7 indexed citations
19.
Jensen, Jordan, et al.. (2010). Imaging as a Strategy for Premortem Diagnosis and Staging of Tauopathies. Current Alzheimer Research. 7(3). 230–234. 10 indexed citations
20.
Fuh, Beng, Matthew Sobo, Brian Hutzen, et al.. (2009). LLL-3 inhibits STAT3 activity, suppresses glioblastoma cell growth and prolongs survival in a mouse glioblastoma model. British Journal of Cancer. 100(1). 106–112. 75 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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