Kiana Mahdaviani

1.3k total citations · 1 hit paper
13 papers, 900 citations indexed

About

Kiana Mahdaviani is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Kiana Mahdaviani has authored 13 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Physiology and 3 papers in Cancer Research. Recurrent topics in Kiana Mahdaviani's work include Mitochondrial Function and Pathology (7 papers), Adipose Tissue and Metabolism (7 papers) and Extracellular vesicles in disease (2 papers). Kiana Mahdaviani is often cited by papers focused on Mitochondrial Function and Pathology (7 papers), Adipose Tissue and Metabolism (7 papers) and Extracellular vesicles in disease (2 papers). Kiana Mahdaviani collaborates with scholars based in United States, Israel and Brazil. Kiana Mahdaviani's co-authors include Marc Liesa, Orian S. Shirihai, Barbara E. Corkey, Saverio Cinti, Jakob D. Wikström, Marcus F. Oliveira, Ilan Y. Benador, Anton Petcherski, Essam A. Assali and Michaela Veliova and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and Molecular Cell.

In The Last Decade

Kiana Mahdaviani

12 papers receiving 897 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.

Mitochondria Bound to Lipid Droplets Have Unique Bioenergetics, Composition, and Dynamics that Support Lipid Droplet Expansion

2018 429 citations Ilan Y. Benador, Michaela Veliova et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kiana Mahdaviani United States	7	581	475	251	183	136	13	900
Michaela Veliova United States	10	680 1.2×	458 1.0×	345 1.4×	172 0.9×	155 1.1×	13	1.1k
Essam A. Assali Israel	10	510 0.9×	306 0.6×	219 0.9×	151 0.8×	113 0.8×	12	777
Sabine Daemen Netherlands	15	335 0.6×	328 0.7×	186 0.7×	284 1.6×	160 1.2×	19	893
Michael N. Davies United States	8	507 0.9×	400 0.8×	46 0.2×	219 1.2×	94 0.7×	9	934
Yaguang Si United States	9	288 0.5×	313 0.7×	66 0.3×	134 0.7×	37 0.3×	10	494
David E. Orosz United States	9	533 0.9×	421 0.9×	90 0.4×	51 0.3×	143 1.1×	9	808
Camila Martínez Calejman Argentina	13	294 0.5×	290 0.6×	106 0.4×	131 0.7×	84 0.6×	22	653
Adam J. Rauckhorst United States	13	392 0.7×	162 0.3×	84 0.3×	110 0.6×	49 0.4×	28	613
Miroslav Vařecha Czechia	14	498 0.9×	354 0.7×	49 0.2×	56 0.3×	133 1.0×	21	738
Ahrathy Selathurai Australia	12	407 0.7×	307 0.6×	126 0.5×	153 0.8×	127 0.9×	13	721

Countries citing papers authored by Kiana Mahdaviani

Since Specialization

Citations

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

Fields of papers citing papers by Kiana Mahdaviani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiana Mahdaviani

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

All Works

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13 of 13 papers shown

Chen, Andrew, et al.. (2025). Plasma exosomes from individuals with type 2 diabetes drive breast cancer aggression in patient-derived organoids. Communications Biology. 8(1). 1276–1276.

Williams, Christopher, Kiana Mahdaviani, Yuriy O. Alekseyev, et al.. (2024). PGC-1α agonism induces fetal hemoglobin and exerts antisickling effects in sickle cell disease. Science Advances. 10(31). eadn8750–eadn8750. 3 indexed citations

Omari, Omar Al, Mohini Patel, Kiana Mahdaviani, et al.. (2024). The impact of immune-related adverse events on survival outcomes in a racially diverse population, with a focus on non-Hispanic Black patients. The Oncologist. 30(3). 1 indexed citations

Lemgart, Viktor T., Nis Halland, Kiana Mahdaviani, et al.. (2023). SGK1 inhibition induces fetal hemoglobin expression and delays polymerization in sickle erythroid cells. Blood Advances. 7(11). 2317–2323. 2 indexed citations

Jafari, Naser, Andrew Chen, Yuhan Qiu, et al.. (2022). Novel plasma exosome biomarkers for prostate cancer progression in co-morbid metabolic disease. SHILAP Revista de lepidopterología. 6. 100073–100073. 6 indexed citations

Veliova, Michaela, Ilan Y. Benador, Anthony E. Jones, et al.. (2020). Blocking mitochondrial pyruvate import in brown adipocytes induces energy wasting via lipid cycling. EMBO Reports. 21(12). e49634–e49634. 41 indexed citations

Cardamone, Maria Dafne, Bogdan Tanasă, Carly Cederquist, et al.. (2018). Mitochondrial Retrograde Signaling in Mammals Is Mediated by the Transcriptional Cofactor GPS2 via Direct Mitochondria-to-Nucleus Translocation. Molecular Cell. 69(5). 757–772.e7. 94 indexed citations

Benador, Ilan Y., Michaela Veliova, Kiana Mahdaviani, et al.. (2018). Mitochondria Bound to Lipid Droplets Have Unique Bioenergetics, Composition, and Dynamics that Support Lipid Droplet Expansion. Cell Metabolism. 27(4). 869–885.e6. 429 indexed citations breakdown →

Mahdaviani, Kiana, Ilan Y. Benador, Linsey Stiles, et al.. (2017). Mfn2 deletion in brown adipose tissue protects from insulin resistance and impairs thermogenesis. EMBO Reports. 18(7). 1123–1138. 80 indexed citations

10.

Cardamone, Maria Dafne, Bogdan Tanasă, Carly Cederquist, et al.. (2017). GPS2 regulates mitochondrial biogenesis via mitochondria retrograde signaling and modulation of nuclear‐encoded mitochondrial genes core promoter accessibility. The FASEB Journal. 31(S1). 1 indexed citations

11.

Mahdaviani, Kiana, David J. Chess, Yuanyuan Wu, Orian S. Shirihai, & Tamar Aprahamian. (2015). Autocrine effect of vascular endothelial growth factor-A is essential for mitochondrial function in brown adipocytes. Metabolism. 65(1). 26–35. 40 indexed citations

12.

Mahdaviani, Kiana, Ilan Y. Benador, & Orian S. Shirihai. (2015). Assessment of Brown Adipocyte Thermogenic Function by High-throughput Respirometry. BIO-PROTOCOL. 5(21). 2 indexed citations

13.

Wikström, Jakob D., Kiana Mahdaviani, Marc Liesa, et al.. (2014). Hormone-induced mitochondrial fission is utilized by brown adipocytes as an amplification pathway for energy expenditure. The EMBO Journal. 33(5). n/a–n/a. 201 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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