Maria Passhak

429 total citations
9 papers, 182 citations indexed

About

Maria Passhak is a scholar working on Oncology, Pathology and Forensic Medicine and Internal Medicine. According to data from OpenAlex, Maria Passhak has authored 9 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 2 papers in Pathology and Forensic Medicine and 2 papers in Internal Medicine. Recurrent topics in Maria Passhak's work include Cancer Immunotherapy and Biomarkers (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Genetic factors in colorectal cancer (2 papers). Maria Passhak is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Genetic factors in colorectal cancer (2 papers). Maria Passhak collaborates with scholars based in Israel, United Kingdom and United States. Maria Passhak's co-authors include Gil Bar‐Sela, Edmond Sabo, Shlomit Strulov Shachar, Alexander Beny, Amos Ofer, Yaniv Zohar, Ludmila Guralnik, Georgeta Fried, Juan W. Valle and Mairéad G. McNamara and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and Supportive Care in Cancer.

In The Last Decade

Maria Passhak

9 papers receiving 178 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Passhak Israel 6 153 66 51 25 25 9 182
Silvana Acquafredda Italy 6 159 1.0× 43 0.7× 94 1.8× 24 1.0× 40 1.6× 8 237
Amita Mistry United States 4 214 1.4× 55 0.8× 108 2.1× 44 1.8× 40 1.6× 8 245
Kees Bisschop Netherlands 7 122 0.8× 39 0.6× 40 0.8× 35 1.4× 23 0.9× 7 181
Rocco Giannicola Italy 8 99 0.6× 29 0.4× 62 1.2× 22 0.9× 17 0.7× 16 196
Rainer Christoph Miksch Germany 8 165 1.1× 79 1.2× 33 0.6× 45 1.8× 39 1.6× 18 245
Luisa Piccin Italy 5 167 1.1× 53 0.8× 69 1.4× 11 0.4× 18 0.7× 16 219
David Vicente Baz Spain 10 173 1.1× 40 0.6× 138 2.7× 17 0.7× 29 1.2× 27 235
Anne Laure Voisin France 2 271 1.8× 46 0.7× 103 2.0× 22 0.9× 8 0.3× 2 295
N. Zanaletti Italy 8 133 0.9× 26 0.4× 35 0.7× 45 1.8× 10 0.4× 20 156
Susan Stonehouse-Lee United States 4 383 2.5× 72 1.1× 171 3.4× 35 1.4× 26 1.0× 5 412

Countries citing papers authored by Maria Passhak

Since Specialization
Citations

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

Fields of papers citing papers by Maria Passhak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Passhak

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Passhak. A scholar is included among the top collaborators of Maria Passhak 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 Maria Passhak. Maria Passhak 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.
Segal, Neil H., Maria Passhak, Eugen Kubala, et al.. (2025). Co-formulated favezelimab plus pembrolizumab versus standard-of-care in previously treated, PD-L1-positive metastatic colorectal cancer: The phase 3, randomized KEYFORM-007 study.. Journal of Clinical Oncology. 43(4_suppl). 2 indexed citations
2.
Kawazoe, Akihito, Rui‐Hua Xu, Maria Passhak, et al.. (2023). LBA-5 Lenvatinib plus pembrolizumab versus standard of care for previously treated metastatic colorectal cancer (mCRC): the phase 3 LEAP-017 study. Annals of Oncology. 34. S179–S179. 16 indexed citations
3.
Passhak, Maria, Mairéad G. McNamara, Richard Hubner, Irit Ben‐Aharon, & Juan W. Valle. (2023). Choosing the best systemic treatment sequence for control of tumour growth in gastro-enteropancreatic neuroendocrine tumours (GEP-NETs): What is the recent evidence?. Best Practice & Research Clinical Endocrinology & Metabolism. 37(5). 101836–101836. 5 indexed citations
4.
Passhak, Maria, Taehyun Kim, Ravit Geva, et al.. (2022). P-81 Phase 3 study of MK4280A (coformulated favezelimab and pembrolizumab) versus standard of care in previously treated PD-L1–positive metastatic colorectal cancer (mCRC). Annals of Oncology. 33. S277–S277. 3 indexed citations
5.
Passhak, Maria, Shlomit Strulov Shachar, Amos Ofer, & Alexander Beny. (2018). Partial splenic embolization in the treatment of prolonged thrombocytopenia due to hypersplenism in metastatic cancer patients. Supportive Care in Cancer. 26(10). 3527–3532. 10 indexed citations
7.
Passhak, Maria, et al.. (2018). Cerebral Liposarcoma Embolus From Heart Metastasis Successfully Treated by Endovascular Extraction Followed by Cardiac Surgery. Vascular and Endovascular Surgery. 52(8). 653–657. 3 indexed citations
8.
Passhak, Maria, Shlomit Strulov Shachar, Gil Bar‐Sela, & Georgeta Fried. (2017). Breast cancer in young women aged 35 and under: Patterns of care and outcome. The Breast Journal. 24(3). 441–443. 6 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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