Florian Laforêts

458 total citations
8 papers, 64 citations indexed

About

Florian Laforêts is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Florian Laforêts has authored 8 papers receiving a total of 64 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Florian Laforêts's work include Immunotherapy and Immune Responses (4 papers), Immune cells in cancer (4 papers) and CAR-T cell therapy research (3 papers). Florian Laforêts is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Immune cells in cancer (4 papers) and CAR-T cell therapy research (3 papers). Florian Laforêts collaborates with scholars based in United Kingdom, France and Australia. Florian Laforêts's co-authors include Panoraia Kotantaki, Frances R. Balkwill, Eleni Maniati, Jacqueline McDermott, David D.L. Bowtell, Rowan Miller, Rebecca Kristeleit, Dale W. Garsed, Julien E. Gautrot and Alexandre David and has published in prestigious journals such as Cancer Research, Oncotarget and Molecular Cancer Therapeutics.

In The Last Decade

Florian Laforêts

7 papers receiving 64 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Florian Laforêts United Kingdom	5	28	28	18	15	12	8	64
Vittoria Fotia Italy	5	21 0.8×	34 1.2×	8 0.4×	13 0.9×	30 2.5×	8	76
Sam Nichols United Kingdom	2	12 0.4×	36 1.3×	15 0.8×	10 0.7×	9 0.8×	2	52
Dolores Gallardo Rincón Mexico	4	44 1.6×	17 0.6×	8 0.4×	18 1.2×	36 3.0×	8	74
Li-dan Hao China	4	40 1.4×	23 0.8×	13 0.7×	4 0.3×	32 2.7×	5	70
Pamela Whalen United States	5	38 1.4×	13 0.5×	17 0.9×	3 0.2×	6 0.5×	7	64
Apurva M. Hegde United States	4	62 2.2×	18 0.6×	7 0.4×	4 0.3×	15 1.3×	5	89
Ksenija Nesic Australia	3	63 2.3×	49 1.8×	8 0.4×	23 1.5×	17 1.4×	9	104
Adina Hughes United Kingdom	3	29 1.0×	39 1.4×	27 1.5×	2 0.1×	3 0.3×	3	70
Jin‐Gyu Cheong South Korea	5	47 1.7×	20 0.7×	24 1.3×	2 0.1×	18 1.5×	8	92
Lucy C. Riches United Kingdom	4	88 3.1×	46 1.6×	6 0.3×	5 0.3×	23 1.9×	9	112

Countries citing papers authored by Florian Laforêts

Since Specialization

Citations

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

Fields of papers citing papers by Florian Laforêts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Laforêts

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Laforêts, Florian, Panoraia Kotantaki, Eleni Maniati, et al.. (2024). Human 3D Ovarian Cancer Models Reveal Malignant Cell–Intrinsic and –Extrinsic Factors That Influence CAR T-cell Activity. Cancer Research. 84(15). 2432–2449. 9 indexed citations

2.

Laforêts, Florian, Emmanuel Donnadieu, & Frances R. Balkwill. (2024). Protocol for real-time monitoring of CD8+ T and myeloid cell behavior in human high-grade serous ovarian cancer slices. STAR Protocols. 5(2). 103102–103102.

3.

Laforêts, Florian, et al.. (2023). Semi-supervised analysis of myeloid and T cell behavior in ex vivo ovarian tumor slices reveals changes in cell motility after treatments. iScience. 26(4). 106514–106514. 4 indexed citations

4.

Laforêts, Florian, et al.. (2023). Abstract 4576: 3D in vitro models uncover malignant cell intrinsic and extrinsic mechanisms of CAR-T cell resistance in high grade serous ovarian cancer. Cancer Research. 83(7_Supplement). 4576–4576. 1 indexed citations

5.

Miller, Rowan, Florian Laforêts, Panoraia Kotantaki, et al.. (2022). The Tumor Microenvironment of Clear-Cell Ovarian Cancer. Cancer Immunology Research. 10(11). 1326–1339. 21 indexed citations

6.

Gopinathan, Ganga, Chiara Berlato, Anissa Lakhani, et al.. (2022). Immune Mechanisms of Resistance to Cediranib in Ovarian Cancer. Molecular Cancer Therapeutics. 21(6). 1030–1043. 7 indexed citations

7.

Laforêts, Florian, Panoraia Kotantaki, Eleni Maniati, et al.. (2022). Abstract 693: TGFβ-mediated targeting of the extracellular matrix enhances the migration and cytotoxicity of CAR-T cells in 3D models of ovarian cancer. Cancer Research. 82(12_Supplement). 693–693. 2 indexed citations

8.

Thérizols, Gabriel, Anne Vincent, Florian Laforêts, et al.. (2017). Translational reprogramming of colorectal cancer cells induced by 5-fluorouracil through a miRNA-dependent mechanism. Oncotarget. 8(28). 46219–46233. 20 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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