Yulia Merkher

2.0k total citations · 1 hit paper
33 papers, 1.5k citations indexed

About

Yulia Merkher is a scholar working on Biomedical Engineering, Cell Biology and Molecular Biology. According to data from OpenAlex, Yulia Merkher has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 10 papers in Cell Biology and 9 papers in Molecular Biology. Recurrent topics in Yulia Merkher's work include Cellular Mechanics and Interactions (10 papers), Osteoarthritis Treatment and Mechanisms (8 papers) and Spine and Intervertebral Disc Pathology (7 papers). Yulia Merkher is often cited by papers focused on Cellular Mechanics and Interactions (10 papers), Osteoarthritis Treatment and Mechanisms (8 papers) and Spine and Intervertebral Disc Pathology (7 papers). Yulia Merkher collaborates with scholars based in Israel, Russia and United Kingdom. Yulia Merkher's co-authors include Alice Maroudas, Sergey Leonov, Yongheng Chen, Huajun Zhang, Yun Li, Lin Chen, Na Liu, Sarit Sivan, Ellen Wachtel and Jacob Klein and has published in prestigious journals such as Langmuir, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Yulia Merkher

30 papers receiving 1.5k citations

Hit Papers

Recent advances in therap... 2022 2026 2023 2024 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yulia Merkher Israel 17 431 319 283 281 248 33 1.5k
Xuekun Fu China 17 519 1.2× 220 0.7× 44 0.2× 207 0.7× 119 0.5× 29 1.2k
Dongqing Zuo China 21 787 1.8× 194 0.6× 89 0.3× 397 1.4× 176 0.7× 45 1.6k
Jean Boutonnât France 20 372 0.9× 251 0.8× 57 0.2× 191 0.7× 103 0.4× 62 1.5k
S. Yamamoto Japan 16 1.2k 2.8× 514 1.6× 86 0.3× 391 1.4× 200 0.8× 33 2.6k
Xiaoqun Li China 22 979 2.3× 254 0.8× 49 0.2× 252 0.9× 200 0.8× 64 1.6k
Zengwu Shao China 22 697 1.6× 190 0.6× 121 0.4× 229 0.8× 225 0.9× 80 1.4k
Zheng Huang China 19 300 0.7× 157 0.5× 117 0.4× 97 0.3× 284 1.1× 61 1.0k
Dongfeng Pan United States 20 390 0.9× 411 1.3× 73 0.3× 107 0.4× 193 0.8× 53 1.2k
Ferdinand Lali United Kingdom 13 388 0.9× 119 0.4× 50 0.2× 227 0.8× 258 1.0× 22 1.2k
Wenjuan Ma China 26 1.0k 2.4× 454 1.4× 47 0.2× 111 0.4× 71 0.3× 53 1.9k

Countries citing papers authored by Yulia Merkher

Since Specialization
Citations

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

Fields of papers citing papers by Yulia Merkher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulia Merkher

This figure shows the co-authorship network connecting the top 25 collaborators of Yulia Merkher. A scholar is included among the top collaborators of Yulia Merkher 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 Yulia Merkher. Yulia Merkher 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.
Пустовалова, Маргарита, et al.. (2025). Navigating the Collective: Nanoparticle-Assisted Identification of Leader Cancer Cells During Migration. Life. 15(1). 127–127.
2.
Пустовалова, Маргарита, et al.. (2025). Uptake of luminescent colloidal Ag–In–S nanoprobes by BC cells differing in metastasis propensity. Journal of Photochemistry and Photobiology A Chemistry. 465. 116359–116359.
3.
Maksimova, Ksenia, et al.. (2024). Nanoparticle's Encapsulation Ability Is More Efficient for Characterization of Invading Breast Cancer Cells Than EMT Markers. JCO Global Oncology. 10(Supplement_1). 128–128. 2 indexed citations
5.
Пустовалова, Маргарита, et al.. (2024). Nanoparticle's Encapsulation As a Marker for Leading Cells in Collective Migration of Breast Cancer Cells. JCO Global Oncology. 10(Supplement_1). 129–129. 2 indexed citations
6.
Maksimova, Ksenia, et al.. (2024). Mechanobiological Markers for Theragnostics in Breast Cancer. JCO Global Oncology. 10(Supplement_1). 119–119.
7.
Merkher, Yulia, et al.. (2023). Anti-Cancer Properties of Flaxseed Proteome. Proteomes. 11(4). 37–37. 9 indexed citations
8.
Merkher, Yulia, et al.. (2023). Encapsulation and adhesion of nanoparticles as a potential biomarker for TNBC cells metastatic propensity. Scientific Reports. 13(1). 12289–12289. 5 indexed citations
9.
Leonov, Sergey, Yongheng Chen, Ying Fu, et al.. (2023). Proteomic Markers for Mechanobiological Properties of Metastatic Cancer Cells. International Journal of Molecular Sciences. 24(5). 4773–4773. 3 indexed citations
10.
Lu, Liqing, Ye Zhang, Xuemei Tan, et al.. (2022). Emerging mechanisms of pyroptosis and its therapeutic strategy in cancer. Cell Death Discovery. 8(1). 338–338. 85 indexed citations
11.
Merkher, Yulia, et al.. (2021). Rapid, quantitative prediction of tumor invasiveness in non-melanoma skin cancers using mechanobiology-based assay. Biomechanics and Modeling in Mechanobiology. 20(5). 1767–1774. 7 indexed citations
12.
Merkher, Yulia, et al.. (2021). Abstract PO-042: Nanoparticles imaging for cancer metastasis diagnosis. Clinical Cancer Research. 27(5_Supplement). PO–42. 4 indexed citations
13.
Merkher, Yulia & Daphne Weihs. (2017). Proximity of Metastatic Cells Enhances Their Mechanobiological Invasiveness. Annals of Biomedical Engineering. 45(6). 1399–1406. 24 indexed citations
14.
Schmelzer, Christian E.H., et al.. (2016). Prolyl hydroxylation in elastin is not random. Biochimica et Biophysica Acta (BBA) - General Subjects. 1860(10). 2169–2177. 21 indexed citations
15.
Brayda‐Bruno, Marco, Keita Ito, Jeremy Fairbank, et al.. (2013). Advances in the diagnosis of degenerated lumbar discs and their possible clinical application. European Spine Journal. 23(S3). 315–323. 49 indexed citations
16.
Sivan, Sarit, Yulia Merkher, Ellen Wachtel, et al.. (2013). A needle micro-osmometer for determination of glycosaminoglycan concentration in excised nucleus pulposus tissue. European Spine Journal. 22(8). 1765–1773. 7 indexed citations
17.
Sivan, Sarit, Sally Roberts, J Urban, et al.. (2013). Injectable hydrogels with high fixed charge density and swelling pressure for nucleus pulposus repair: Biomimetic glycosaminoglycan analogues. Acta Biomaterialia. 10(3). 1124–1133. 51 indexed citations
18.
Sivan, Sarit, W. Wilson, Yulia Merkher, et al.. (2007). Are disc pressure, stress, and osmolarity affected by intra‐ and extrafibrillar fluid exchange?. Journal of Orthopaedic Research®. 25(10). 1317–1324. 39 indexed citations
19.
Sivan, Sarit, et al.. (2006). Correlation of swelling pressure and intrafibrillar water in young and aged human intervertebral discs. Journal of Orthopaedic Research®. 24(6). 1292–1298. 47 indexed citations
20.
Merkher, Yulia, et al.. (2006). A rational human joint friction test using a human cartilage-on-cartilage arrangement. Tribology Letters. 22(1). 29–36. 59 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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