Diana Farhat

779 total citations · 1 hit paper
7 papers, 569 citations indexed

About

Diana Farhat is a scholar working on Molecular Biology, Biochemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Diana Farhat has authored 7 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Biochemistry and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Diana Farhat's work include Biochemical Acid Research Studies (3 papers), Mitochondrial Function and Pathology (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Diana Farhat is often cited by papers focused on Biochemical Acid Research Studies (3 papers), Mitochondrial Function and Pathology (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Diana Farhat collaborates with scholars based in France, Lebanon and United States. Diana Farhat's co-authors include Hubert Lincet, Philippe Icard, Marco Alifano, Jean‐Marc Steyaert, S. Shulman, Sandra E. Ghayad, Nader Hussein, Muriel Le Romancer, Leena Joseph and Sophie Léon and has published in prestigious journals such as Development, Oncogene and British Journal of Cancer.

In The Last Decade

Diana Farhat

7 papers receiving 565 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

How the Warburg effect supports aggressiveness and drug resistance of cancer cells?

2018 449 citations Philippe Icard, S. Shulman et al. Drug Resistance Updates profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diana Farhat France	6	356	295	106	73	63	7	569
Jiaming Zhu China	17	482 1.4×	387 1.3×	67 0.6×	67 0.9×	28 0.4×	30	785
Macus Hao‐Ran Bao Hong Kong	7	372 1.0×	304 1.0×	92 0.9×	174 2.4×	25 0.4×	8	607
Xiaode Feng China	12	642 1.8×	478 1.6×	104 1.0×	114 1.6×	23 0.4×	17	851
Francesco Ciccarese Italy	13	436 1.2×	260 0.9×	117 1.1×	98 1.3×	13 0.2×	17	694
Marilù Fanelli Italy	15	336 0.9×	156 0.5×	172 1.6×	129 1.8×	42 0.7×	16	582
Allen Zhang United States	10	397 1.1×	141 0.5×	133 1.3×	76 1.0×	21 0.3×	16	565
Marília M. Dias Brazil	10	518 1.5×	278 0.9×	184 1.7×	59 0.8×	37 0.6×	19	675
Taohua Yue China	15	330 0.9×	174 0.6×	144 1.4×	143 2.0×	158 2.5×	24	607
Pindong Li China	15	340 1.0×	169 0.6×	130 1.2×	77 1.1×	16 0.3×	29	614
Hao Zheng China	19	730 2.1×	605 2.1×	83 0.8×	80 1.1×	23 0.4×	47	1.0k

Countries citing papers authored by Diana Farhat

Since Specialization

Citations

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

Fields of papers citing papers by Diana Farhat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Farhat

This figure shows the co-authorship network connecting the top 25 collaborators of Diana Farhat. A scholar is included among the top collaborators of Diana Farhat 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 Diana Farhat. Diana Farhat 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:

7 of 7 papers shown

1.

Farhat, Diana, Gabriela D. A. Guardia, Claire Domon–Dell, et al.. (2022). Regulation of the THRA gene, encoding the thyroid hormone nuclear receptor TRα1, in intestinal lesions. Molecular Oncology. 16(22). 3975–3993. 3 indexed citations

2.

Frau, Carla, Diana Farhat, Catherine Jamard, et al.. (2021). Murine intestinal stem cells are highly sensitive to modulation of the T3/TRα1-dependent pathway. Development. 148(8). 11 indexed citations

3.

Farhat, Diana, Sophie Léon, Sandra E. Ghayad, et al.. (2020). Lipoic acid decreases breast cancer cell proliferation by inhibiting IGF-1R via furin downregulation. British Journal of Cancer. 122(6). 885–894. 24 indexed citations

4.

Farhat, Diana, Sandra E. Ghayad, Philippe Icard, et al.. (2020). Lipoic acid-induced oxidative stress abrogates IGF-1R maturation by inhibiting the CREB/furin axis in breast cancer cell lines. Oncogene. 39(17). 3604–3610. 17 indexed citations

5.

Farhat, Diana & Hubert Lincet. (2019). Lipoic acid a multi-level molecular inhibitor of tumorigenesis. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1873(1). 188317–188317. 45 indexed citations

6.

Icard, Philippe, S. Shulman, Diana Farhat, et al.. (2018). How the Warburg effect supports aggressiveness and drug resistance of cancer cells?. Drug Resistance Updates. 38. 1–11. 449 indexed citations breakdown →

7.

Khan, Ziauddin, Suhail Ahmad, Inaam Al‐Obaid, et al.. (2008). Emergence of Resistance to Amphotericin B and Triazoles inCandida glabrataVaginal Isolates in a Case of Recurrent Vaginitis. Journal of Chemotherapy. 20(4). 488–491. 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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