Sandra Kleiner

8.4k total citations · 3 hit papers
27 papers, 4.1k citations indexed

About

Sandra Kleiner is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Sandra Kleiner has authored 27 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Physiology and 6 papers in Epidemiology. Recurrent topics in Sandra Kleiner's work include Adipose Tissue and Metabolism (13 papers), Muscle Physiology and Disorders (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Sandra Kleiner is often cited by papers focused on Adipose Tissue and Metabolism (13 papers), Muscle Physiology and Disorders (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Sandra Kleiner collaborates with scholars based in United States, Switzerland and United Kingdom. Sandra Kleiner's co-authors include Bruce M. Spiegelman, Rina J. Mepani, Jun Wu, Paul Cohen, Alexei Kharitonenkov, Jeffrey S. Flier, Francisco Verdeguer, Nicholas Douris, Eleftheria Maratos–Flier and Ffolliott M. Fisher and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sandra Kleiner

27 papers receiving 4.0k citations

Hit Papers

FGF21 regulates PGC-1α and browning of white adipose tiss... 2012 2026 2016 2021 2012 2012 2014 400 800 1.2k

Peers

Sandra Kleiner
Mengle Shao United States
Kathleen R. Markan United States
Kristy L. Townsend United States
Sherry Chin United States
Matthew Harms United States
Stefania Carobbio United Kingdom
Mengle Shao United States
Sandra Kleiner
Citations per year, relative to Sandra Kleiner Sandra Kleiner (= 1×) peers Mengle Shao

Countries citing papers authored by Sandra Kleiner

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Kleiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Kleiner

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Kleiner. A scholar is included among the top collaborators of Sandra Kleiner 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 Sandra Kleiner. Sandra Kleiner 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.
Mastaitis, Jason, Daniel R. Gomez, José G. Raya, et al.. (2025). GDF8 and activin A blockade protects against GLP-1–induced muscle loss while enhancing fat loss in obese male mice and non-human primates. Nature Communications. 16(1). 4377–4377. 8 indexed citations
2.
Jeong, Youngjae, et al.. (2023). Whole‐Body Metabolism and the Musculoskeletal Impacts of Targeting Activin A and Myostatin in Severe Osteogenesis Imperfecta. JBMR Plus. 7(7). e10753–e10753. 4 indexed citations
3.
Stec, Michael J., Qi Su, Christina Adler, et al.. (2023). A cellular and molecular spatial atlas of dystrophic muscle. Proceedings of the National Academy of Sciences. 120(29). e2221249120–e2221249120. 19 indexed citations
4.
Sui, Lina, Yurong Xin, Leena Haataja, et al.. (2021). Reduced replication fork speed promotes pancreatic endocrine differentiation and controls graft size. JCI Insight. 6(5). 25 indexed citations
5.
Jeong, Youngjae, et al.. (2020). Combinatorial Inhibition of Myostatin and Activin A Improves Femoral Bone Properties in the G610C Mouse Model of Osteogenesis Imperfecta. Journal of Bone and Mineral Research. 37(5). 938–953. 13 indexed citations
6.
Jeong, Youngjae, Lawrence Miloscio, Jason Mastaitis, et al.. (2020). Impact of Genetic and Pharmacologic Inhibition of Myostatin in a Murine Model of Osteogenesis Imperfecta. Journal of Bone and Mineral Research. 36(4). 739–756. 13 indexed citations
7.
Kleiner, Sandra, Daniel R. Gomez, Erqian Na, et al.. (2018). Mice harboring the human SLC30A8 R138X loss-of-function mutation have increased insulin secretory capacity. Proceedings of the National Academy of Sciences. 115(32). E7642–E7649. 40 indexed citations
8.
Haller, Jorge F., Panayiotis E. Stevis, David G. Buckler, et al.. (2017). ANGPTL8 requires ANGPTL3 to inhibit lipoprotein lipase and plasma triglyceride clearance. Journal of Lipid Research. 58(6). 1166–1173. 160 indexed citations
9.
Kong, Xingxing, Alexander S. Banks, Tiemin Liu, et al.. (2014). IRF4 Is a Key Thermogenic Transcriptional Partner of PGC-1α. Cell. 158(1). 69–83. 225 indexed citations
10.
Kır, Serkan, James P. White, Sandra Kleiner, et al.. (2014). Tumour-derived PTH-related protein triggers adipose tissue browning and cancer cachexia. Nature. 513(7516). 100–104. 501 indexed citations breakdown →
11.
Besse‐Patin, Aurèle, Sandra Kleiner, Dina Laznik-Bogoslavski, et al.. (2013). Loss of Pgc-1α expression in aging mouse muscle potentiates glucose intolerance and systemic inflammation. American Journal of Physiology-Endocrinology and Metabolism. 306(2). E157–E167. 90 indexed citations
12.
Ruas, Jorge L., James P. White, Rajesh R. Rao, et al.. (2012). A PGC-1α Isoform Induced by Resistance Training Regulates Skeletal Muscle Hypertrophy. Cell. 151(6). 1319–1331. 531 indexed citations breakdown →
13.
Fisher, Ffolliott M., Sandra Kleiner, Nicholas Douris, et al.. (2012). FGF21 regulates PGC-1α and browning of white adipose tissues in adaptive thermogenesis. Genes & Development. 26(3). 271–281. 1237 indexed citations breakdown →
14.
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
15.
Gupta, Rana K., Rina J. Mepani, Sandra Kleiner, et al.. (2012). Zfp423 Expression Identifies Committed Preadipocytes and Localizes to Adipose Endothelial and Perivascular Cells. Cell Metabolism. 15(2). 230–239. 327 indexed citations
16.
Kleiner, Sandra, et al.. (2009). PPARδ Agonism Activates Fatty Acid Oxidation via PGC-1α but Does Not Increase Mitochondrial Gene Expression and Function. Journal of Biological Chemistry. 284(28). 18624–18633. 122 indexed citations
17.
Kleiner, Sandra, Amir Faisal, & Yoshikuni Nagamine. (2006). Induction of uPA gene expression by the blockage of E‐cadherin via Src‐ and Shc‐dependent Erk signaling. FEBS Journal. 274(1). 227–240. 14 indexed citations
18.
Kleiner, Sandra, et al.. (2005). Activation of the c‐Met receptor complex in fibroblasts drives invasive cell behavior by signaling through transcription factor STAT3. Journal of Cellular Biochemistry. 95(4). 805–816. 25 indexed citations
19.
Faisal, Amir, Sandra Kleiner, & Yoshikuni Nagamine. (2004). Non-redundant Role of Shc in Erk Activation by Cytoskeletal Reorganization. Journal of Biological Chemistry. 279(5). 3202–3211. 21 indexed citations
20.
Kisielow, Malgorzata, Sandra Kleiner, Michiaki Nagasawa, Amir Faisal, & Yoshikuni Nagamine. (2002). Isoform-specific knockdown and expression of adaptor protein ShcA using small interfering RNA. Biochemical Journal. 363(1). 1–1. 76 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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