Tsipi Meshel

3.4k total citations
63 papers, 2.6k citations indexed

About

Tsipi Meshel is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Tsipi Meshel has authored 63 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Oncology, 36 papers in Immunology and 16 papers in Molecular Biology. Recurrent topics in Tsipi Meshel's work include Chemokine receptors and signaling (32 papers), Immunotherapy and Immune Responses (26 papers) and Cell Adhesion Molecules Research (14 papers). Tsipi Meshel is often cited by papers focused on Chemokine receptors and signaling (32 papers), Immunotherapy and Immune Responses (26 papers) and Cell Adhesion Molecules Research (14 papers). Tsipi Meshel collaborates with scholars based in Israel, United States and France. Tsipi Meshel's co-authors include Adit Ben‐Baruch, Orit Sagi‐Assif, Isaac P. Witz, Yulia Liubomirski, Gideon Rechavi, Sivan Izraely, Ilana Yron, Polina Weitzenfeld, Gali Soria and Dave S.�B. Hoon and has published in prestigious journals such as Nature Immunology, The Journal of Immunology and Biochemistry.

In The Last Decade

Tsipi Meshel

63 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tsipi Meshel Israel 28 1.5k 1.1k 939 470 340 63 2.6k
Orit Sagi‐Assif Israel 28 1.1k 0.7× 732 0.6× 961 1.0× 445 0.9× 302 0.9× 61 2.1k
María Romina Girotti Argentina 21 1.4k 0.9× 827 0.7× 1.6k 1.7× 628 1.3× 302 0.9× 44 3.0k
Sakari Vanharanta United Kingdom 21 1.6k 1.0× 691 0.6× 2.0k 2.2× 1.2k 2.6× 552 1.6× 31 3.7k
Mary Aakre United States 23 2.4k 1.5× 917 0.8× 2.6k 2.7× 573 1.2× 350 1.0× 27 4.3k
R Whitehouse United Kingdom 15 1.3k 0.9× 654 0.6× 1.7k 1.8× 994 2.1× 348 1.0× 21 2.8k
Lídia Robert United States 20 2.0k 1.3× 1.3k 1.2× 2.0k 2.1× 544 1.2× 529 1.6× 26 3.7k
Marta Pàez‐Ribes United Kingdom 15 1000 0.6× 465 0.4× 1.9k 2.0× 1.1k 2.3× 452 1.3× 18 3.2k
Marya F. McCarty United States 29 1.1k 0.7× 436 0.4× 2.0k 2.1× 869 1.8× 285 0.8× 37 3.0k

Countries citing papers authored by Tsipi Meshel

Since Specialization
Citations

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

Fields of papers citing papers by Tsipi Meshel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsipi Meshel

This figure shows the co-authorship network connecting the top 25 collaborators of Tsipi Meshel. A scholar is included among the top collaborators of Tsipi Meshel 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 Tsipi Meshel. Tsipi Meshel 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.
2.
Sagi‐Assif, Orit, Tsipi Meshel, Metsada Pasmanik‐Chor, et al.. (2023). Heterogeneity in the Metastatic Microenvironment: JunB-Expressing Microglia Cells as Potential Drivers of Melanoma Brain Metastasis Progression. Cancers. 15(20). 4979–4979. 6 indexed citations
3.
Moshe, Adi, Sivan Izraely, Orit Sagi‐Assif, et al.. (2020). Inter-Tumor Heterogeneity—Melanomas Respond Differently to GM-CSF-Mediated Activation. Cells. 9(7). 1683–1683. 11 indexed citations
4.
Liubomirski, Yulia, Shalom Lerrer, Tsipi Meshel, et al.. (2019). Tumor-Stroma-Inflammation Networks Promote Pro-metastatic Chemokines and Aggressiveness Characteristics in Triple-Negative Breast Cancer. Frontiers in Immunology. 10. 757–757. 138 indexed citations
5.
Liubomirski, Yulia, Shalom Lerrer, Tsipi Meshel, et al.. (2019). Notch-Mediated Tumor-Stroma-Inflammation Networks Promote Invasive Properties and CXCL8 Expression in Triple-Negative Breast Cancer. Frontiers in Immunology. 10. 804–804. 49 indexed citations
6.
Lerrer, Shalom, Yulia Liubomirski, Alexander Bott, et al.. (2017). Co-Inflammatory Roles of TGFβ1 in the Presence of TNFα Drive a Pro-inflammatory Fate in Mesenchymal Stem Cells. Frontiers in Immunology. 8. 479–479. 28 indexed citations
7.
Maman, Shelly, Orit Sagi‐Assif, Weirong Yuan, et al.. (2016). The Beta Subunit of Hemoglobin (HBB2/HBB) Suppresses Neuroblastoma Growth and Metastasis. Cancer Research. 77(1). 14–26. 36 indexed citations
8.
Maman, Shelly, et al.. (2016). Hexokinase 2 is a determinant of neuroblastoma metastasis. British Journal of Cancer. 114(7). 759–766. 61 indexed citations
9.
Sagi‐Assif, Orit, Sivan Izraely, Tsipi Meshel, et al.. (2015). Vemurafenib resistance selects for highly malignant brain and lung-metastasizing melanoma cells. Cancer Letters. 361(1). 86–96. 42 indexed citations
10.
Lerrer, Shalom, Yulia Liubomirski, Leonor Leider–Trejo, et al.. (2015). Regulation of the inflammatory profile of stromal cells in human breast cancer: prominent roles for TNF-α and the NF-κB pathway. Stem Cell Research & Therapy. 6(1). 87–87. 109 indexed citations
11.
Soria, Gali, Marcelo Ehrlich, Tsipi Meshel, et al.. (2012). Mechanisms Regulating the Secretion of the Promalignancy Chemokine CCL5 by Breast Tumor Cells: CCL5's 40s Loop and Intracellular Glycosaminoglycans. Neoplasia. 14(1). 1–IN3. 15 indexed citations
12.
Soria, Gali, Ilana Haas, Neora Yaal‐Hahoshen, et al.. (2011). Inflammatory mediators in breast cancer: Coordinated expression of TNFα & IL-1β with CCL2 & CCL5 and effects on epithelial-to-mesenchymal transition. BMC Cancer. 11(1). 130–130. 227 indexed citations
13.
Meshel, Tsipi, et al.. (2009). Cell migration to the chemokine CXCL8: Paxillin is activated and regulates adhesion and cell motility. Cellular and Molecular Life Sciences. 66(5). 884–899. 18 indexed citations
14.
Garty, Ben Zion, et al.. (2009). Reduced expression of chemoattractant receptors by polymorphonuclear leukocytes in Hyper IgE Syndrome patients. Immunology Letters. 130(1-2). 97–106. 10 indexed citations
15.
Soria, Gali, Tsipi Meshel, & Adit Ben‐Baruch. (2009). Chapter 1 Chemokines in Human Breast Tumor Cells. Methods in enzymology on CD-ROM/Methods in enzymology. 460. 3–16. 2 indexed citations
16.
Sagi‐Assif, Orit, Tsipi Meshel, Adit Ben‐Baruch, et al.. (2008). The involvement of the fractalkine receptor in the transmigration of neuroblastoma cells through bone-marrow endothelial cells. Cancer Letters. 273(1). 127–139. 35 indexed citations
17.
Soria, Gali, Neora Yaal‐Hahoshen, Sima Shina, et al.. (2008). Concomitant expression of the chemokines RANTES and MCP-1 in human breast cancer: A basis for tumor-promoting interactions. Cytokine. 44(1). 191–200. 78 indexed citations
18.
19.
Goldberg-Bittman, Lilach, Eran Neumark, Orit Sagi‐Assif, et al.. (2004). The expression of the chemokine receptor CXCR3 and its ligand, CXCL10, in human breast adenocarcinoma cell lines. Immunology Letters. 92(1-2). 171–178. 73 indexed citations
20.
Sagi‐Assif, Orit, et al.. (2001). A Possible Role for CXCR4 and Its Ligand, the CXC Chemokine Stromal Cell-Derived Factor-1, in the Development of Bone Marrow Metastases in Neuroblastoma. The Journal of Immunology. 167(8). 4747–4757. 334 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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