Polina Weitzenfeld

762 total citations
9 papers, 573 citations indexed

About

Polina Weitzenfeld is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Polina Weitzenfeld has authored 9 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Polina Weitzenfeld's work include Chemokine receptors and signaling (6 papers), Immunotherapy and Immune Responses (6 papers) and Cancer Cells and Metastasis (3 papers). Polina Weitzenfeld is often cited by papers focused on Chemokine receptors and signaling (6 papers), Immunotherapy and Immune Responses (6 papers) and Cancer Cells and Metastasis (3 papers). Polina Weitzenfeld collaborates with scholars based in Israel, United States and Germany. Polina Weitzenfeld's co-authors include Adit Ben‐Baruch, Jeffrey V. Ravetch, Tsipi Meshel, Patrick Smith, Itziar Ibarlucea-Benitez, Mordechai Gutman, Leonor Leider–Trejo, Ilana Haas, Gali Soria and Esther Shabtai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Cancer Cell.

In The Last Decade

Polina Weitzenfeld

9 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Polina Weitzenfeld Israel 8 306 288 240 79 42 9 573
Naoshi Kawamura Japan 10 233 0.8× 204 0.7× 156 0.7× 57 0.7× 46 1.1× 12 456
Neora Yaal‐Hahoshen Israel 10 388 1.3× 208 0.7× 240 1.0× 149 1.9× 76 1.8× 17 697
Saeed Farajzadeh Valilou Iran 6 343 1.1× 309 1.1× 235 1.0× 97 1.2× 79 1.9× 9 664
Angela M. Gocher United States 5 326 1.1× 320 1.1× 264 1.1× 94 1.2× 91 2.2× 7 662
Masayo Umebayashi Japan 13 261 0.9× 187 0.6× 260 1.1× 79 1.0× 33 0.8× 37 530
Shuo You China 11 193 0.6× 117 0.4× 249 1.0× 100 1.3× 69 1.6× 17 531
Amr Al‐Haidari Sweden 7 171 0.6× 249 0.9× 255 1.1× 153 1.9× 40 1.0× 7 580
Ihor Arkhypov Germany 10 286 0.9× 402 1.4× 228 0.9× 101 1.3× 63 1.5× 11 677
Oscar D. Bustuoabad Argentina 13 223 0.7× 135 0.5× 142 0.6× 76 1.0× 40 1.0× 34 475
Kahsai Beraki Norway 9 233 0.8× 256 0.9× 195 0.8× 81 1.0× 113 2.7× 20 573

Countries citing papers authored by Polina Weitzenfeld

Since Specialization
Citations

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

Fields of papers citing papers by Polina Weitzenfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Polina Weitzenfeld

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

All Works

9 of 9 papers shown
1.
Osorio, Juan C., David A. Knorr, Polina Weitzenfeld, et al.. (2025). Fc-optimized CD40 agonistic antibody elicits tertiary lymphoid structure formation and systemic antitumor immunity in metastatic cancer. Cancer Cell. 43(10). 1902–1916.e9. 2 indexed citations
2.
Ibarlucea-Benitez, Itziar, Polina Weitzenfeld, Patrick Smith, & Jeffrey V. Ravetch. (2021). Siglecs-7/9 function as inhibitory immune checkpoints in vivo and can be targeted to enhance therapeutic antitumor immunity. Proceedings of the National Academy of Sciences. 118(26). 105 indexed citations
3.
Weitzenfeld, Polina, Stylianos Bournazos, & Jeffrey V. Ravetch. (2019). Antibodies targeting sialyl Lewis A mediate tumor clearance through distinct effector pathways. Journal of Clinical Investigation. 129(9). 3952–3962. 38 indexed citations
4.
Weitzenfeld, Polina, Olga Kossover, Cindy Körner, et al.. (2016). Chemokine axes in breast cancer: factors of the tumor microenvironment reshape the CCR7-driven metastatic spread of luminal-A breast tumors. Journal of Leukocyte Biology. 99(6). 1009–1025. 27 indexed citations
5.
Weitzenfeld, Polina, Tsipi Meshel, & Adit Ben‐Baruch. (2016). Microenvironmental networks promote tumor heterogeneity and enrich for metastatic cancer stem-like cells in Luminal-A breast tumor cells. Oncotarget. 7(49). 81123–81143. 19 indexed citations
6.
Weitzenfeld, Polina & Adit Ben‐Baruch. (2013). The chemokine system, and its CCR5 and CXCR4 receptors, as potential targets for personalized therapy in cancer. Cancer Letters. 352(1). 36–53. 116 indexed citations
8.
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

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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