Kamila Gwiazda

902 total citations
10 papers, 727 citations indexed

About

Kamila Gwiazda is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Kamila Gwiazda has authored 10 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Surgery. Recurrent topics in Kamila Gwiazda's work include CRISPR and Genetic Engineering (4 papers), CAR-T cell therapy research (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Kamila Gwiazda is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), CAR-T cell therapy research (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Kamila Gwiazda collaborates with scholars based in United States, Canada and France. Kamila Gwiazda's co-authors include James D. Johnson, Ting-Lin Yang, Andrew M. Scharenberg, David J. Rawlings, Tatyana B. Kalynyak, Iram Khan, Dan S. Luciani, T. Michael Underhill, Arthur V. Sampaio and Blythe Sather and has published in prestigious journals such as Nucleic Acids Research, Blood and Nature Methods.

In The Last Decade

Kamila Gwiazda

9 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamila Gwiazda United States 7 456 214 208 190 113 10 727
Agata Jurczyk United States 16 504 1.1× 228 1.1× 338 1.6× 466 2.5× 52 0.5× 26 898
Maria Dolors Sans United States 16 287 0.6× 356 1.7× 50 0.2× 172 0.9× 130 1.2× 27 669
Catalina Flores-Maldonado Mexico 17 752 1.6× 72 0.3× 69 0.3× 150 0.8× 80 0.7× 32 1.1k
Jeffrey D. Thomas United States 10 558 1.2× 80 0.4× 143 0.7× 51 0.3× 77 0.7× 11 770
Laurence Suaud United States 15 410 0.9× 141 0.7× 131 0.6× 105 0.6× 34 0.3× 22 640
Wakako Fujimoto Japan 13 490 1.1× 319 1.5× 118 0.6× 63 0.3× 41 0.4× 20 838
J F Habener United States 15 418 0.9× 228 1.1× 117 0.6× 78 0.4× 62 0.5× 20 696
Luciana I. Gallo Argentina 13 375 0.8× 77 0.4× 54 0.3× 180 0.9× 34 0.3× 22 644
E.O. Riecken Germany 15 300 0.7× 151 0.7× 106 0.5× 54 0.3× 132 1.2× 40 669

Countries citing papers authored by Kamila Gwiazda

Since Specialization
Citations

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

Fields of papers citing papers by Kamila Gwiazda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamila Gwiazda

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

All Works

10 of 10 papers shown
1.
Myers, Carrie, Alex Chen, Matthew C. Biery, et al.. (2023). IMMU-13. PRECLINICAL EFFICACY OF MULTI-ANTIGEN (HER2/EGFR806/B7-H3/IL13RA2) TARGETING QUAD-CAR T CELLS AGAINST DIFFUSE MIDLINE GLIOMA. Neuro-Oncology. 25(Supplement_1). i52–i52.
2.
Lee, Won, Kamila Gwiazda, Joshua A. Gustafson, et al.. (2023). PBMC-Humanized Mouse Model to Assess Individual Variability in Efficacy and Toxicity of Universal CD19 Chimeric Antigen Receptor T Cell Immunotherapy. Blood. 142(Supplement 1). 2084–2084. 1 indexed citations
3.
Gwiazda, Kamila, Jaya Sahni, Stephen Burleigh, et al.. (2016). High Efficiency CRISPR/Cas9-mediated Gene Editing in Primary Human T-cells Using Mutant Adenoviral E4orf6/E1b55k “Helper” Proteins. Molecular Therapy. 24(9). 1570–1580. 28 indexed citations
4.
Sather, Blythe, Guillermo S. Romano Ibarra, Karen Sommer, et al.. (2015). Efficient modification of CCR5 in primary human hematopoietic cells using a megaTAL nuclease and AAV donor template. Science Translational Medicine. 7(307). 307ra156–307ra156. 190 indexed citations
5.
Curinga, Gabrielle, Blythe Sather, Karen Sommer, et al.. (2015). 116. MegaTAL Nucleases Outperform TALENs in Promoting Homology-Directed-Gene Modification in Primary Human T Cells. Molecular Therapy. 23. S48–S48. 1 indexed citations
6.
Gwiazda, Kamila, Olivier Humbert, Michelle Brault, et al.. (2013). Novel fluorescent genome editing reporters for monitoring DNA repair pathway utilization at endonuclease-induced breaks. Nucleic Acids Research. 42(1). e4–e4. 54 indexed citations
7.
Certo, Michael T., Kamila Gwiazda, Blythe Sather, et al.. (2012). Coupling endonucleases with DNA end–processing enzymes to drive gene disruption. Nature Methods. 9(10). 973–975. 73 indexed citations
8.
Alejandro, Emilyn U., et al.. (2010). Acute Insulin Signaling in Pancreatic Beta-Cells Is Mediated by Multiple Raf-1 Dependent Pathways. Endocrinology. 151(2). 502–512. 33 indexed citations
9.
Gwiazda, Kamila, et al.. (2009). Effects of palmitate on ER and cytosolic Ca2+homeostasis in β-cells. American Journal of Physiology-Endocrinology and Metabolism. 296(4). E690–E701. 164 indexed citations
10.
Luciani, Dan S., Kamila Gwiazda, Ting-Lin Yang, et al.. (2008). Roles of IP3R and RyR Ca2+ Channels in Endoplasmic Reticulum Stress and β-Cell Death. Diabetes. 58(2). 422–432. 183 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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