Max F. Levine

2.5k total citations
12 papers, 92 citations indexed

About

Max F. Levine is a scholar working on Cancer Research, Hematology and Genetics. According to data from OpenAlex, Max F. Levine has authored 12 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Hematology and 4 papers in Genetics. Recurrent topics in Max F. Levine's work include Cancer Genomics and Diagnostics (4 papers), BRCA gene mutations in cancer (2 papers) and Multiple Myeloma Research and Treatments (2 papers). Max F. Levine is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), BRCA gene mutations in cancer (2 papers) and Multiple Myeloma Research and Treatments (2 papers). Max F. Levine collaborates with scholars based in United States, Israel and United Kingdom. Max F. Levine's co-authors include Juan S. Medina-Martínez, Elli Papaemmanuil, Yangyu Zhou, Gunes Gundem, Andrew L. Kung, Minal Patel, Juan Arango Ossa, Ahmet Doǧan, Even H. Rustad and Heather Landau and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and BMC Bioinformatics.

In The Last Decade

Max F. Levine

9 papers receiving 92 citations

Peers

Max F. Levine

HEMAT

ONCOL

GENET

Máire Ní Leathlobhair United Kingdom

L. Qiu China

Sumito Shingaki Japan

Hong L. Tiv United States

Jorge Monge United States

Gaddy Getz United States

Chenglu Yuan China

Veronica Gil United Kingdom

Omar Saavedra Spain

Klaus Kirchbacher Austria

Máire Ní Leathlobhair United Kingdom

Max F. Levine

33 ×0.7

HEMAT

58 ×1.3

63 ×2.1

25 ×1.0

ONCOL

34 ×1.9

GENET

Citations per year, relative to Max F. Levine Max F. Levine (= 1×) peers Máire Ní Leathlobhair

Countries citing papers authored by Max F. Levine

Since Specialization

Citations

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

Fields of papers citing papers by Max F. Levine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max F. Levine. 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 Max F. Levine. The network helps show where Max F. Levine may publish in the future.

Co-authorship network of co-authors of Max F. Levine

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

All Works

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12 of 12 papers shown

Gutiérrez‐Abril, Jesús, Gunes Gundem, Elise Fiala, et al.. (2025). Supernumerary ring chromosome 1 syndrome leads to fusion-driven B-cell acute lymphoblastic leukemia in monozygotic twins. Blood Advances. 9(9). 2063–2067.

Hadi, Kevin, Jiangling Tu, Max F. Levine, et al.. (2024). Enhancing the detection of clinically relevant biomarkers in advanced uterine and tubo-ovarian carcinomas through genome-wide analysis. Pathology - Research and Practice. 266. 155773–155773. 1 indexed citations

Sigouros, Michael, Andy V. Phan, Max F. Levine, et al.. (2024). Whole-Genome Sequencing Analysis of Male Breast Cancer Unveils Novel Structural Events and Potential Therapeutic Targets. Modern Pathology. 37(4). 100452–100452. 5 indexed citations

Driskill, Jordan H., Max F. Levine, Gunes Gundem, et al.. (2024). Whole genome profiling of rare pediatric thoracic tumors elucidates a YAP1::LEUTX fusion in an unclassified biphasic embryonal neoplasm. Pathology - Research and Practice. 264. 155726–155726.

Mora, Jesús Delgado-de la, Gunes Gundem, Max F. Levine, et al.. (2024). Whole genome profiling of primary and metastatic adrenocortical carcinoma unravels significant molecular events. Pathology - Research and Practice. 266. 155725–155725. 2 indexed citations

Levine, Max F., Aditya Deshpande, Michael Sigouros, et al.. (2024). Whole genome sequencing elucidates etiological differences in MCPyV-negative Merkel cell carcinoma. Pathology - Research and Practice. 263. 155668–155668. 1 indexed citations

Hadi, Kevin, Gunes Gundem, Max F. Levine, et al.. (2023). Abstract 2149: A whole genome sequencing classifier of homologous recombination deficiency. Cancer Research. 83(7_Supplement). 2149–2149. 3 indexed citations

Shukla, Neerav, Max F. Levine, Gunes Gundem, et al.. (2021). Feasibility and clinical utility of cancer whole genome and transcriptome sequencing for pediatric and young adult solid tumors.. Journal of Clinical Oncology. 39(15_suppl). 3063–3063.

Yellapantula, Venkata D., Malin Hultcrantz, Even H. Rustad, et al.. (2020). Correction: Comprehensive detection of recurring genomic abnormalities: a targeted sequencing approach for multiple myeloma. Blood Cancer Journal. 10(1). 1 indexed citations

10.

Marcellino, Bridget K., Noushin Farnoud, Bruno Cassinat, et al.. (2020). Transient expansion of TP53 mutated clones in polycythemia vera patients treated with idasanutlin. Blood Advances. 4(22). 5735–5744. 18 indexed citations

11.

Medina-Martínez, Juan S., Max F. Levine, Yangyu Zhou, et al.. (2020). Isabl Platform, a digital biobank for processing multimodal patient data. BMC Bioinformatics. 21(1). 549–549. 26 indexed citations

12.

Yellapantula, Venkata D., Malin Hultcrantz, Even H. Rustad, et al.. (2019). Comprehensive detection of recurring genomic abnormalities: a targeted sequencing approach for multiple myeloma. Blood Cancer Journal. 9(12). 101–101. 35 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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