Elma Zaganjor

5.9k total citations · 2 hit papers
26 papers, 3.9k citations indexed

About

Elma Zaganjor is a scholar working on Molecular Biology, Physiology and Geriatrics and Gerontology. According to data from OpenAlex, Elma Zaganjor has authored 26 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Physiology and 6 papers in Geriatrics and Gerontology. Recurrent topics in Elma Zaganjor's work include Adipose Tissue and Metabolism (8 papers), Sirtuins and Resveratrol in Medicine (6 papers) and Mitochondrial Function and Pathology (5 papers). Elma Zaganjor is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Sirtuins and Resveratrol in Medicine (6 papers) and Mitochondrial Function and Pathology (5 papers). Elma Zaganjor collaborates with scholars based in United States, Germany and Switzerland. Elma Zaganjor's co-authors include Marcia C. Haigis, Sejal Vyas, John M. Peltier, Daniel J. Fridman, J. Jay Boniface, Moritz von Rechenberg, Inese Smukste, Richard A. Smith, Stephen L. Lessnick and Sudhir Sahasrabudhe and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Elma Zaganjor

25 papers receiving 3.8k citations

Hit Papers

RAS–RAF–MEK-dependent oxidative cell death involving volt... 2007 2026 2013 2019 2007 2016 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elma Zaganjor United States 19 2.7k 1.4k 1.0k 430 414 26 3.9k
Barrie Peck United Kingdom 16 2.1k 0.8× 1.6k 1.1× 401 0.4× 286 0.7× 426 1.0× 22 3.2k
George Poulogiannis United Kingdom 28 3.8k 1.4× 2.1k 1.5× 465 0.5× 533 1.2× 1.0k 2.5× 46 5.8k
Jiangbin Ye United States 25 3.2k 1.2× 1.7k 1.2× 576 0.6× 588 1.4× 444 1.1× 41 4.5k
Liankun Sun China 37 2.6k 1.0× 1.1k 0.8× 344 0.3× 967 2.2× 506 1.2× 123 4.1k
Zhengzhi Zou China 29 2.0k 0.7× 954 0.7× 624 0.6× 372 0.9× 735 1.8× 53 3.5k
Frank Weinberg United States 19 2.1k 0.8× 1.2k 0.8× 320 0.3× 335 0.8× 540 1.3× 46 3.3k
Sang‐Gu Hwang South Korea 38 2.4k 0.9× 826 0.6× 325 0.3× 326 0.8× 913 2.2× 123 3.9k
Lucas B. Sullivan United States 20 4.4k 1.7× 3.2k 2.3× 388 0.4× 377 0.9× 665 1.6× 36 6.0k
Mathew C. Casimiro United States 36 3.3k 1.3× 2.1k 1.5× 414 0.4× 426 1.0× 1.4k 3.5× 62 4.8k
Chiara Gorrini Canada 17 3.1k 1.2× 772 0.6× 349 0.3× 262 0.6× 773 1.9× 23 4.6k

Countries citing papers authored by Elma Zaganjor

Since Specialization
Citations

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

Fields of papers citing papers by Elma Zaganjor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elma Zaganjor

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

All Works

20 of 20 papers shown
1.
Park, Woo Yong, et al.. (2025). Mitochondrial substrate oxidation regulates distinct cell differentiation outcomes. Trends in Cell Biology. 35(4). 274–277. 1 indexed citations
2.
Park, Woo Yong, Heather Bryant, Zer Vue, et al.. (2024). Disruption of nucleotide biosynthesis reprograms mitochondrial metabolism to inhibit adipogenesis. Journal of Lipid Research. 65(10). 100641–100641. 2 indexed citations
3.
Peck, Sun H., et al.. (2023). Inhibition of nucleotide biosynthesis disrupts lipid accumulation and adipogenesis. Journal of Biological Chemistry. 299(5). 104635–104635. 7 indexed citations
4.
Zaganjor, Elma, et al.. (2022). Weighing in on Adipogenesis. Frontiers in Physiology. 13. 821278–821278. 18 indexed citations
5.
Zaganjor, Elma, Haejin Yoon, Jessica B. Spinelli, et al.. (2021). SIRT4 is an early regulator of branched-chain amino acid catabolism that promotes adipogenesis. Cell Reports. 36(2). 109345–109345. 47 indexed citations
6.
Yoon, Haejin, Jessica B. Spinelli, Elma Zaganjor, et al.. (2020). PHD3 Loss Promotes Exercise Capacity and Fat Oxidation in Skeletal Muscle. Cell Metabolism. 32(2). 215–228.e7. 26 indexed citations
7.
Lee, Jaewon J., Robert A. H. van de Ven, Elma Zaganjor, et al.. (2018). Inhibition of epithelial cell migration and Src/FAK signaling by SIRT3. Proceedings of the National Academy of Sciences. 115(27). 7057–7062. 61 indexed citations
8.
Herrera, Karina N. Gonzalez, Elma Zaganjor, Yoshinori Ishikawa, et al.. (2018). Small-Molecule Screen Identifies De Novo Nucleotide Synthesis as a Vulnerability of Cells Lacking SIRT3. Cell Reports. 22(8). 1945–1955. 31 indexed citations
9.
Zaganjor, Elma, Sejal Vyas, & Marcia C. Haigis. (2017). SIRT4 Is a Regulator of Insulin Secretion. Cell chemical biology. 24(6). 656–658. 28 indexed citations
10.
Vyas, Sejal, Elma Zaganjor, & Marcia C. Haigis. (2016). Mitochondria and Cancer. Cell. 166(3). 555–566. 1297 indexed citations breakdown →
11.
Yang, Wen, Koji Nagasawa, Christian Münch, et al.. (2016). Mitochondrial Sirtuin Network Reveals Dynamic SIRT3-Dependent Deacetylation in Response to Membrane Depolarization. Cell. 167(4). 985–1000.e21. 269 indexed citations
12.
German, Natalie J., Haejin Yoon, Rushdia Z. Yusuf, et al.. (2016). PHD3 Loss in Cancer Enables Metabolic Reliance on Fatty Acid Oxidation via Deactivation of ACC2. Molecular Cell. 63(6). 1006–1020. 117 indexed citations
13.
Singel, Stina Mui, Crystal Cornelius, Elma Zaganjor, et al.. (2014). KIF14 Promotes AKT Phosphorylation and Contributes to Chemoresistance in Triple-Negative Breast Cancer. Neoplasia. 16(3). 247–256.e2. 73 indexed citations
14.
Zaganjor, Elma, et al.. (2014). Ras transformation uncouples the kinesin-coordinated cellular nutrient response. Proceedings of the National Academy of Sciences. 111(29). 10568–10573. 8 indexed citations
15.
Zaganjor, Elma, Jihan K. Osborne, Laura A. Díaz-Martínez, et al.. (2013). Ras regulates kinesin 13 family members to control cell migration pathways in transformed human bronchial epithelial cells. Oncogene. 33(47). 5457–5466. 24 indexed citations
16.
Zaganjor, Elma, et al.. (2013). Chromatin-tethered MAPKs. Current Opinion in Cell Biology. 25(2). 272–277. 42 indexed citations
17.
Wauson, Eric, Elma Zaganjor, & Melanie H. Cobb. (2012). Amino acid regulation of autophagy through the GPCR TAS1R1-TAS1R3. Autophagy. 9(3). 418–419. 31 indexed citations
18.
Osborne, Jihan K., Elma Zaganjor, & Melanie H. Cobb. (2011). Signal control through Raf: in sickness and in health. Cell Research. 22(1). 14–22. 41 indexed citations
19.
Lawrence, Michael C., Arif Jivan, Chunli Shao, et al.. (2008). The roles of MAPKs in disease. Cell Research. 18(4). 436–442. 182 indexed citations
20.
Rechenberg, Moritz von, Elma Zaganjor, Andras J. Bauer, et al.. (2007). RAS–RAF–MEK-dependent oxidative cell death involving voltage-dependent anion channels. Nature. 447(7146). 865–869. 1301 indexed citations breakdown →

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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