Dina Laznik

3.6k total citations · 2 hit papers
11 papers, 3.0k citations indexed

About

Dina Laznik is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Dina Laznik has authored 11 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Physiology and 3 papers in Cancer Research. Recurrent topics in Dina Laznik's work include Adipose Tissue and Metabolism (7 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Metabolism, Diabetes, and Cancer (3 papers). Dina Laznik is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Metabolism, Diabetes, and Cancer (3 papers). Dina Laznik collaborates with scholars based in United States, Switzerland and Denmark. Dina Laznik's co-authors include Bruce M. Spiegelman, Jorge L. Ruas, Jennifer L. Estall, Alexander S. Banks, Theodore M. Kamenecka, Patrick R. Griffin, Jang Hyun Choi, Michael J. Chalmers, Marcus P. Cooper and Zoltàn Arany and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Dina Laznik

10 papers receiving 3.0k citations

Hit Papers

HIF-independent regulation of VEGF and angiogenesis by th... 2008 2026 2014 2020 2008 2010 250 500 750

Peers

Dina Laznik
Julie C. Holder United Kingdom
Eric Raspé Belgium
Kenneth M. Humphries United States
Nam Ho Jeoung South Korea
Renu A. Kowluru United States
Kyle D. Copps United States
Julie C. Holder United Kingdom
Dina Laznik
Citations per year, relative to Dina Laznik Dina Laznik (= 1×) peers Julie C. Holder

Countries citing papers authored by Dina Laznik

Since Specialization
Citations

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

Fields of papers citing papers by Dina Laznik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dina Laznik

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

All Works

11 of 11 papers shown
1.
Bar, Jair, Kaushal Parikh, Walid Shalata, et al.. (2025). Real world characteristics of stages II-III NSCLC patients (pts) who initiate neoadjuvant chemo-immunotherapy (NACT-I) and do not undergo surgical resection.. Journal of Clinical Oncology. 43(16_suppl). 8019–8019.
2.
Ye, Li, Sandra Kleiner, Jun Wu, et al.. (2012). TRPV4 Is a Regulator of Adipose Oxidative Metabolism, Inflammation, and Energy Homeostasis. Cell. 151(1). 96–110. 279 indexed citations
3.
Kleiner, Sandra, Rina J. Mepani, Dina Laznik, et al.. (2012). Development of insulin resistance in mice lacking PGC-1α in adipose tissues. Proceedings of the National Academy of Sciences. 109(24). 9635–9640. 247 indexed citations
4.
Banks, Alexander S., Ja Young Kim-Muller, Teresa L. Mastracci, et al.. (2011). Dissociation of the Glucose and Lipid Regulatory Functions of FoxO1 by Targeted Knockin of Acetylation-Defective Alleles in Mice. Cell Metabolism. 14(5). 587–597. 60 indexed citations
5.
Lustig, Yaniv, Jorge L. Ruas, Jennifer L. Estall, et al.. (2011). Separation of the gluconeogenic and mitochondrial functions of PGC-1α through S6 kinase. Genes & Development. 25(12). 1232–1244. 87 indexed citations
6.
Choi, Jang Hyun, Alexander S. Banks, Theodore M. Kamenecka, et al.. (2011). Antidiabetic actions of a non-agonist PPARγ ligand blocking Cdk5-mediated phosphorylation. Nature. 477(7365). 477–481. 431 indexed citations
7.
Choi, Jang Hyun, Alexander S. Banks, Jennifer L. Estall, et al.. (2010). Anti-diabetic drugs inhibit obesity-linked phosphorylation of PPARγ by Cdk5. Nature. 466(7305). 451–456. 719 indexed citations breakdown →
8.
Estall, Jennifer L., Mario Kahn, Marcus P. Cooper, et al.. (2009). Sensitivity of Lipid Metabolism and Insulin Signaling to Genetic Alterations in Hepatic Peroxisome Proliferator–Activated Receptor-γ Coactivator-1α Expression. Diabetes. 58(7). 1499–1508. 130 indexed citations
9.
Estall, Jennifer L., Jorge L. Ruas, Cheol Soo Choi, et al.. (2009). PGC-1α negatively regulates hepatic FGF21 expression by modulating the heme/Rev-Erbα axis. Proceedings of the National Academy of Sciences. 106(52). 22510–22515. 111 indexed citations
10.
Arany, Zoltàn, ShiYin Foo, Yanhong Ma, et al.. (2008). HIF-independent regulation of VEGF and angiogenesis by the transcriptional coactivator PGC-1α. Nature. 451(7181). 1008–1012. 869 indexed citations breakdown →
11.
Arany, Zoltàn, et al.. (2008). Gene expression-based screening identifies microtubule inhibitors as inducers of PGC-1α and oxidative phosphorylation. Proceedings of the National Academy of Sciences. 105(12). 4721–4726. 74 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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