Eléna Kardash

1.4k total citations · 1 hit paper
23 papers, 1.1k citations indexed

About

Eléna Kardash is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Eléna Kardash has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Biophysics. Recurrent topics in Eléna Kardash's work include Zebrafish Biomedical Research Applications (5 papers), Cellular Mechanics and Interactions (3 papers) and Cell Adhesion Molecules Research (3 papers). Eléna Kardash is often cited by papers focused on Zebrafish Biomedical Research Applications (5 papers), Cellular Mechanics and Interactions (3 papers) and Cell Adhesion Molecules Research (3 papers). Eléna Kardash collaborates with scholars based in Germany, France and Israel. Eléna Kardash's co-authors include Erez Raz, Michal Reichman‐Fried, Bijan Boldajipour, Harsha Mahabaleshwar, Qiling Xu, Duncan Wilson, Heiko Blaser, Jan Bandemer, Ekaterina Papusheva and Jean‐Léon Maître and has published in prestigious journals such as Cell, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

Eléna Kardash

21 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Control of Chemokine-Guided Cell Migration by Ligand Sequestration

2008 506 citations Bijan Boldajipour, Harsha Mahabaleshwar et al. Cell profile →

Peers

Eléna Kardash

MB

ONCOL

CB

IMMUN

BE

Jennifer J. Rahn United States

Randall P. French United States

Takako Kaneko Japan

Ole Morten Seternes Norway

Kun Bi United States

Jianwei Sun China

Anthony Natoli Australia

Toru Hiratsuka Japan

Ali Badache France

Jiuhong Huang China

Jennifer J. Rahn United States

Eléna Kardash

897 ×2.0

MB

211 ×0.6

ONCOL

201 ×0.7

CB

190 ×0.7

IMMUN

65 ×0.6

BE

Citations per year, relative to Eléna Kardash Eléna Kardash (= 1×) peers Jennifer J. Rahn

Countries citing papers authored by Eléna Kardash

Since Specialization

Citations

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

Fields of papers citing papers by Eléna Kardash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eléna Kardash

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Тарасов, С. А., et al.. (2024). Phenomenon of Post-Vibration Interactions. Symmetry. 16(8). 958–958. 9 indexed citations

2.

Kardash, Eléna. (2022). Graveyard Walk in the First Third of the 19th Century: Healthcare, Memorial Politics, Aesthetics, Literature. Bulletin KNOB. 11(1). 204–244.

3.

Nguyen, Hanh T., Eléna Kardash, Thierry Savy, et al.. (2021). Quantification of cell behaviors and computational modeling show that cell directional behaviors drive zebrafish pectoral fin morphogenesis. Bioinformatics. 37(18). 2946–2954. 3 indexed citations

4.

Bosch, Manel & Eléna Kardash. (2019). In Vivo Quantification of Intramolecular FRET Using RacFRET Biosensors. Methods in molecular biology. 2040. 275–297. 2 indexed citations

5.

Kardash, Eléna, et al.. (2019). 3D + time imaging of normal and twin sea urchin embryos for the reconstruction of their cell lineage. Methods in cell biology. 151. 399–418. 4 indexed citations

6.

Nguyen, Hanh T., et al.. (2019). 3D + Time Imaging and Image Reconstruction of Pectoral Fin During Zebrafish Embryogenesis. Methods in molecular biology. 2040. 135–153. 1 indexed citations

7.

Kardash, Eléna. (2019). The Poetic Phraseology of Pushkin’s translation “From A. Chénier”: Sources and Contexts. SHILAP Revista de lepidopterología. 8(2). 217–238.

8.

Taloni, Alessandro, Eléna Kardash, Og̃uz Umut Salman, et al.. (2015). Volume Changes During Active Shape Fluctuations in Cells. Physical Review Letters. 114(20). 208101–208101. 31 indexed citations

9.

Kuselman, Ilya, et al.. (2013). House-of-security approach to measurement in analytical chemistry: quantification of human error using expert judgments. Accreditation and Quality Assurance. 18(6). 459–467. 10 indexed citations

10.

Kardash, Eléna. (2012). Current Methods in Zebrafish Research. 2. 6 indexed citations

11.

Rogosnitzky, Moshe, et al.. (2012). Therapeutic potential of tranilast, an anti-allergy drug, in proliferative disorders.. PubMed. 32(7). 2471–8. 59 indexed citations

12.

Kardash, Eléna, Jan Bandemer, & Erez Raz. (2011). Imaging protein activity in live embryos using fluorescence resonance energy transfer biosensors. Nature Protocols. 6(12). 1835–1846. 102 indexed citations

13.

Kardash, Eléna, Michal Reichman‐Fried, Jean‐Léon Maître, et al.. (2009). A role for Rho GTPases and cell–cell adhesion in single-cell motility in vivo. Nature Cell Biology. 12(1). 47–53. 213 indexed citations

14.

Boldajipour, Bijan, Harsha Mahabaleshwar, Eléna Kardash, et al.. (2008). Control of Chemokine-Guided Cell Migration by Ligand Sequestration. Cell. 132(3). 463–473. 506 indexed citations breakdown →

15.

Dias, Júlio Cesar, et al.. (2008). Final report on subsequent key comparison CCQM-K18.1: pH of carbonate buffer. Metrologia. 45(1A). 8014–8014. 2 indexed citations

16.

Kardash, Eléna, et al.. (2007). pH‐Metric Determination of Free Fatty Acids in Oils and Fats During Frying in the Absence of a Chemical Laboratory. Journal of the American Oil Chemists Society. 85(1). 91–92. 5 indexed citations

17.

Kardash, Eléna, et al.. (2005). Acid Value Determination in Vegetable Oils by Indirect Titration in Aqueous-alcohol Media. Croatica Chemica Acta. 78(1). 99–103. 71 indexed citations

18.

Schubert, Steffen, Eléna Kardash, Muhammad Amir Khan, et al.. (2004). Interaction, Cooperative Promoter Modulation, and Renal Colocalization of GCMa and Pitx2. Journal of Biological Chemistry. 279(48). 50358–50365. 15 indexed citations

19.

Hashemolhosseini, Said, Karin Kilian, Eléna Kardash, et al.. (2003). Structural requirements for nuclear localization of GCMa/Gcm‐1. FEBS Letters. 553(3). 315–320. 6 indexed citations

20.

Hauben, Ehud, et al.. (2001). T cell-mediated neuroprotection involves antithrombin activity. Journal of Neuroimmunology. 121(1-2). 12–21. 18 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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