Anna Kalota

2.1k total citations
39 papers, 1.5k citations indexed

About

Anna Kalota is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Anna Kalota has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Hematology and 7 papers in Genetics. Recurrent topics in Anna Kalota's work include RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Acute Myeloid Leukemia Research (5 papers). Anna Kalota is often cited by papers focused on RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Acute Myeloid Leukemia Research (5 papers). Anna Kalota collaborates with scholars based in United States, Canada and Spain. Anna Kalota's co-authors include Alan M. Gewirtz, Yuji Nakata, Huiwu Zhao, Shenghao Jin, Stephen G. Emerson, Andrzej Ptasznik, Mathilde Poussin, Rachel C. Lynn, Dimiter S. Dimitrov and Philip S. Low and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Anna Kalota

37 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Kalota United States 17 901 460 339 219 205 39 1.5k
Suzan Imren United States 20 769 0.9× 429 0.9× 420 1.2× 384 1.8× 256 1.2× 43 1.5k
Nuria Mencia-Trinchant United States 14 579 0.6× 468 1.0× 222 0.7× 288 1.3× 209 1.0× 27 1.3k
Gustavo J. Melen Spain 22 746 0.8× 186 0.4× 237 0.7× 186 0.8× 216 1.1× 40 1.3k
Ritsuo Nishiuchi Japan 21 941 1.0× 308 0.7× 224 0.7× 147 0.7× 96 0.5× 57 1.8k
Alice M.S. Cheung Singapore 16 789 0.9× 538 1.2× 332 1.0× 178 0.8× 238 1.2× 39 1.3k
Michael Rosu‐Myles Canada 23 704 0.8× 319 0.7× 322 0.9× 242 1.1× 401 2.0× 48 1.4k
Allison Blair United Kingdom 19 810 0.9× 879 1.9× 596 1.8× 175 0.8× 206 1.0× 53 1.8k
Eugen Leo Germany 15 748 0.8× 374 0.8× 783 2.3× 310 1.4× 215 1.0× 42 1.9k
Michael Amatangelo United States 15 1.3k 1.4× 679 1.5× 587 1.7× 262 1.2× 133 0.6× 50 1.9k
Kerstin B. Kaufmann Germany 16 698 0.8× 428 0.9× 204 0.6× 101 0.5× 147 0.7× 21 1.3k

Countries citing papers authored by Anna Kalota

Since Specialization
Citations

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

Fields of papers citing papers by Anna Kalota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Kalota

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Kalota. A scholar is included among the top collaborators of Anna Kalota 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 Anna Kalota. Anna Kalota 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.
Kedzierska, A, et al.. (2025). IL-24 producing regulatory T and B lymphocytes in endometriosis. Frontiers in Immunology. 16. 1582762–1582762.
2.
Li, Roger, Ja Hyeon Ku, Antoni Vilaseca, et al.. (2024). Urine-based testing for patient selection and genomic characterization of patients with FGFR alteration-positive non–muscle-invasive bladder cancer (NMIBC) treated with TAR-210.. Journal of Clinical Oncology. 42(4_suppl). 676–676. 1 indexed citations
4.
Vieito, María, Anna Spreafico, Víctor Moreno, et al.. (2020). 537MO First-in-human study of JNJ-64619178, a protein arginine methyltransferase 5 (PRMT5) inhibitor, in patients with advanced cancers. Annals of Oncology. 31. S470–S470. 19 indexed citations
5.
Lynn, Rachel C., Yang Feng, Keith Schutsky, et al.. (2016). High-affinity FRβ-specific CAR T cells eradicate AML and normal myeloid lineage without HSC toxicity. Leukemia. 30(6). 1355–1364. 99 indexed citations
6.
Kalota, Anna, et al.. (2015). Eltrombopag Modulates Reactive Oxygen Species and Decreases Acute Myeloid Leukemia Cell Survival. PLoS ONE. 10(4). e0126691–e0126691. 30 indexed citations
7.
Kalota, Anna, Grace R. Jeschke, Martin Carroll, & Elizabeth O. Hexner. (2013). Intrinsic Resistance to JAK2 Inhibition in Myelofibrosis. Clinical Cancer Research. 19(7). 1729–1739. 13 indexed citations
8.
Sugita, Mayumi, Anna Kalota, Alan M. Gewirtz, & Martin Carroll. (2012). Eltrombopag inhibition of acute myeloid leukemia cell survival does not depend on c-Mpl expression. Leukemia. 27(5). 1207–1210. 13 indexed citations
9.
Wahba, Alexander S., Glen F. Deleavey, Claire M. Brown, et al.. (2011). Phenylpyrrolocytosine as an Unobtrusive Base Modification for Monitoring Activity and Cellular Trafficking of siRNA. ACS Chemical Biology. 6(9). 912–919. 41 indexed citations
10.
Kalota, Anna, Grace R. Jeschke, Martin Carroll, & Elizabeth O. Hexner. (2011). Intrinsic Resistance to JAK2 Inhibition in Myelofibrosis. Blood. 118(21). 2825–2825. 1 indexed citations
11.
Deleavey, Glen F., Jonathan K. Watts, Tommy Alain, et al.. (2010). Synergistic effects between analogs of DNA and RNA improve the potency of siRNA-mediated gene silencing. Nucleic Acids Research. 38(13). 4547–4557. 74 indexed citations
12.
Jin, Shenghao, Huiwu Zhao, Yan Yi, et al.. (2010). c-Myb binds MLL through menin in human leukemia cells and is an important driver of MLL-associated leukemogenesis. Journal of Clinical Investigation. 120(2). 593–606. 98 indexed citations
13.
14.
Nakata, Yuji, Anna Kalota, Ravikumar Rallapalli, et al.. (2007). c-Myb Contributes to G 2 /M Cell Cycle Transition in Human Hematopoietic Cells by Direct Regulation of Cyclin B1 Expression. Molecular and Cellular Biology. 27(6). 2048–2058. 75 indexed citations
15.
Kim, Eun Ju, Anna Kalota, Alan M. Gewirtz, et al.. (2007). Possible Mechanisms Of Improved Radiation Response By Cytotoxic Rnase, Onconase®, On A549 Human Lung Cancer Xenografts Of Nude Mice. Advances in experimental medicine and biology. 599. 53–59. 14 indexed citations
16.
Opalinska, Joanna, Anna Kalota, Jyoti Chattopadhyaya, Masad J. Damha, & Alan M. Gewirtz. (2006). Nucleic Acid Therapeutics for Hematologic Malignancies—Theoretical Considerations. Annals of the New York Academy of Sciences. 1082(1). 124–136. 1 indexed citations
18.
Kalota, Anna, Vijay R. Dondeti, & Alan M. Gewirtz. (2006). Progress in the Development of Nucleic Acid Therapeutics. Handbook of experimental pharmacology. 173–196. 6 indexed citations
19.
Kalota, Anna, et al.. (2004). Progress in the Development of Nucleic Acids Therapeutics for Cancer. Cancer Biology & Therapy. 3(1). 4–12. 44 indexed citations
20.
Ptasznik, Andrzej, Yuji Nakata, Anna Kalota, Stephen G. Emerson, & Alan M. Gewirtz. (2004). Short interfering RNA (siRNA) targeting the Lyn kinase induces apoptosis in primary, and drug-resistant, BCR-ABL1(+) leukemia cells. Nature Medicine. 10(11). 1187–1189. 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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