Polina Weitzenfeld

13 total papers · 746 total citations
9 papers, 568 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 568 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 Immunotherapy and Immune Responses (6 papers), Chemokine receptors and signaling (6 papers) and Cancer Cells and Metastasis (3 papers). Polina Weitzenfeld is often cited by papers focused on Immunotherapy and Immune Responses (6 papers), Chemokine receptors and signaling (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, Tsipi Meshel, Jeffrey V. Ravetch, Itziar Ibarlucea-Benitez, Patrick Smith, Gali Soria, Esther Shabtai, Ilana Haas, Neora Yaal‐Hahoshen and Leonor Leider–Trejo 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

8 papers receiving 566 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Polina Weitzenfeld 303 285 240 79 42 9 568
Valerie Sloane Jones 237 0.8× 208 0.7× 201 0.8× 91 1.2× 38 0.9× 9 524
Sarah Krause 370 1.2× 175 0.6× 202 0.8× 142 1.8× 52 1.2× 10 592
Theresa L. Whiteside 279 0.9× 419 1.5× 206 0.9× 65 0.8× 31 0.7× 13 649
Paula Ramos Viacava 177 0.6× 264 0.9× 181 0.8× 47 0.6× 54 1.3× 12 505
Saeed Farajzadeh Valilou 339 1.1× 304 1.1× 232 1.0× 97 1.2× 79 1.9× 9 656
Emilie Laprévotte 279 0.9× 342 1.2× 187 0.8× 116 1.5× 34 0.8× 13 641
Neora Yaal‐Hahoshen 386 1.3× 207 0.7× 240 1.0× 149 1.9× 76 1.8× 17 695
Paige J. Baugher 412 1.4× 296 1.0× 268 1.1× 90 1.1× 44 1.0× 7 683
Bonnie Bullock 248 0.8× 299 1.0× 223 0.9× 57 0.7× 80 1.9× 9 573
Midan Ai 320 1.1× 324 1.1× 177 0.7× 180 2.3× 69 1.6× 13 622

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

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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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