Laleh Kamalian

456 total citations
9 papers, 333 citations indexed

About

Laleh Kamalian is a scholar working on Molecular Biology, Pharmacology and Clinical Biochemistry. According to data from OpenAlex, Laleh Kamalian has authored 9 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pharmacology and 3 papers in Clinical Biochemistry. Recurrent topics in Laleh Kamalian's work include Mitochondrial Function and Pathology (3 papers), Metabolism and Genetic Disorders (3 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). Laleh Kamalian is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), Metabolism and Genetic Disorders (3 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). Laleh Kamalian collaborates with scholars based in United Kingdom, Belgium and United States. Laleh Kamalian's co-authors include Amy E. Chadwick, B. Kevin Park, Mario Monshouwer, Jan Snoeys, Mark Bayliss, Neil French, Richard Kia, John R. Gosney, Carol Beesley and Shiva S. Forootan and has published in prestigious journals such as Clinical Cancer Research, Toxicology and Applied Pharmacology and Toxicological Sciences.

In The Last Decade

Laleh Kamalian

8 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laleh Kamalian United Kingdom 7 164 81 80 48 42 9 333
Chad Pope United States 7 218 1.3× 36 0.4× 82 1.0× 85 1.8× 101 2.4× 10 491
Chunlei Lin China 7 176 1.1× 48 0.6× 32 0.4× 114 2.4× 80 1.9× 9 351
Kan Toriguchi Japan 10 137 0.8× 98 1.2× 50 0.6× 69 1.4× 132 3.1× 27 374
Lisa Fredriksson Netherlands 8 151 0.9× 54 0.7× 128 1.6× 59 1.2× 37 0.9× 10 395
Franziska Paech Switzerland 9 182 1.1× 33 0.4× 55 0.7× 55 1.1× 56 1.3× 10 345
Masahiko Sunaga Japan 13 233 1.4× 76 0.9× 25 0.3× 123 2.6× 79 1.9× 25 491
Patricia Macanas-Pirard United Kingdom 9 114 0.7× 76 0.9× 148 1.9× 87 1.8× 48 1.1× 13 387
Ingrid H. Hof Netherlands 10 87 0.5× 159 2.0× 123 1.5× 84 1.8× 51 1.2× 13 380
Nao Yoneda Japan 11 123 0.8× 19 0.2× 114 1.4× 62 1.3× 15 0.4× 29 288
Franz Oesch Germany 11 247 1.5× 48 0.6× 107 1.3× 168 3.5× 20 0.5× 16 498

Countries citing papers authored by Laleh Kamalian

Since Specialization
Citations

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

Fields of papers citing papers by Laleh Kamalian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laleh Kamalian

This figure shows the co-authorship network connecting the top 25 collaborators of Laleh Kamalian. A scholar is included among the top collaborators of Laleh Kamalian 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 Laleh Kamalian. Laleh Kamalian 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.
Kamalian, Laleh, Rosalind E. Jenkins, Alison J. Beckett, et al.. (2020). The utility of a differentiated preclinical liver model, HepaRG cells, in investigating delayed toxicity via inhibition of mitochondrial-replication induced by fialuridine. Toxicology and Applied Pharmacology. 403. 115163–115163. 8 indexed citations
2.
Kamalian, Laleh, Jan Snoeys, Damir Simic, et al.. (2019). Acute Metabolic Switch Assay Using Glucose/Galactose Medium in HepaRG Cells to Detect Mitochondrial Toxicity. Current Protocols in Toxicology. 80(1). e76–e76. 12 indexed citations
3.
Kamalian, Laleh, Jan Snoeys, Damir Simic, et al.. (2018). The utility of HepaRG cells for bioenergetic investigation and detection of drug-induced mitochondrial toxicity. Toxicology in Vitro. 53. 136–147. 35 indexed citations
4.
Kamalian, Laleh, et al.. (2016). Identification of the Additional Mitochondrial Liabilities of 2-Hydroxyflutamide When Compared With its Parent Compound, Flutamide in HepG2 Cells. Toxicological Sciences. 153(2). 341–351. 22 indexed citations
5.
Heslop, James A., Cliff Rowe, Joanne Walsh, et al.. (2016). Mechanistic evaluation of primary human hepatocyte culture using global proteomic analysis reveals a selective dedifferentiation profile. Archives of Toxicology. 91(1). 439–452. 95 indexed citations
6.
Kamalian, Laleh, Amy E. Chadwick, Mark Bayliss, et al.. (2015). The utility of HepG2 cells to identify direct mitochondrial dysfunction in the absence of cell death. Toxicology in Vitro. 29(4). 732–740. 116 indexed citations
7.
Mirzaei, Ramazan, et al.. (2012). Effective Causes of Work-Related Accidents Among Mashhad Workers in a 3-Year Period (2004-2007). Health Scope. 1(2). 80–83. 1 indexed citations
8.
Kamalian, Laleh, John R. Gosney, Shiva S. Forootan, et al.. (2008). Increased Expression of Id Family Proteins in Small Cell Lung Cancer and its Prognostic Significance. Clinical Cancer Research. 14(8). 2318–2325. 44 indexed citations
9.
Kamalian, Laleh, et al.. (1991). [The experimental and clinical antitumor action of the interferon inducer larifan].. PubMed. 36(2). 127–30.

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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