Maria Florentin

763 total citations
5 papers, 120 citations indexed

About

Maria Florentin is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Maria Florentin has authored 5 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Immunology and 1 paper in Molecular Biology. Recurrent topics in Maria Florentin's work include CAR-T cell therapy research (5 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Immunotherapy and Immune Responses (3 papers). Maria Florentin is often cited by papers focused on CAR-T cell therapy research (5 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Immunotherapy and Immune Responses (3 papers). Maria Florentin collaborates with scholars based in United States, Spain and Israel. Maria Florentin's co-authors include Paul F. Robbins, Steven A. Rosenberg, Sri Krishna, Jared J. Gartner, Maria R. Parkhurst, Amy R. Copeland, Satyajit Ray, Biman C. Paria, Frank J. Lowery and Rami Yossef and has published in prestigious journals such as Clinical Cancer Research, Journal for ImmunoTherapy of Cancer and Journal of Immunotherapy.

In The Last Decade

Maria Florentin

4 papers receiving 113 citations

Peers

Maria Florentin

IMMUN

ONCOL

MB

RNMI

GENET

Anetta Marcinek Germany

Joanna E. Brewer United Kingdom

Chiara Caraccio United States

Sungwoo Ahn Canada

Jeffrey Wolf United States

Edward Pascua United States

Erez Greenstein Israel

Alice Newey United Kingdom

Catia Fonseca United States

Marine Richard Switzerland

Anetta Marcinek Germany

Maria Florentin

74 ×0.8

IMMUN

74 ×0.9

ONCOL

28 ×0.6

MB

29 ×1.0

RNMI

5 ×0.6

GENET

Citations per year, relative to Maria Florentin Maria Florentin (= 1×) peers Anetta Marcinek

Countries citing papers authored by Maria Florentin

Since Specialization

Citations

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

Fields of papers citing papers by Maria Florentin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Florentin

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

All Works

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5 of 5 papers shown

1.

Chatani, Praveen D., Frank J. Lowery, Neilesh B. Parikh, et al.. (2023). Cell surface marker-based capture of neoantigen-reactive CD8⁺ T-cell receptors from metastatic tumor digests. Journal for ImmunoTherapy of Cancer. 11(5). e006264–e006264. 13 indexed citations

2.

Levin, Noam, Biman C. Paria, Nolan R. Vale, et al.. (2021). Identification and Validation of T-cell Receptors Targeting RAS Hotspot Mutations in Human Cancers for Use in Cell-based Immunotherapy. Clinical Cancer Research. 27(18). 5084–5095. 29 indexed citations

3.

Gartner, Jared J., Maria R. Parkhurst, Alena Gros, et al.. (2021). A machine learning model for ranking candidate HLA class I neoantigens based on known neoepitopes from multiple human tumor types. Nature Cancer. 2(5). 563–574. 56 indexed citations

4.

Chatani, Praveen D., Frank J. Lowery, Neilesh B. Parikh, et al.. (2021). 167 High-efficiency capture of anti-tumor neoantigen-reactive T cell receptors from tumor digest. Regular and Young Investigator Award Abstracts. A177–A177. 1 indexed citations

5.

Paria, Biman C., Noam Levin, Frank J. Lowery, et al.. (2020). Rapid Identification and Evaluation of Neoantigen-reactive T-Cell Receptors From Single Cells. Journal of Immunotherapy. 44(1). 1–8. 21 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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