Nathan E. Wolins

4.0k total citations · 1 hit paper
32 papers, 3.3k citations indexed

About

Nathan E. Wolins is a scholar working on Biochemistry, Physiology and Molecular Biology. According to data from OpenAlex, Nathan E. Wolins has authored 32 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Biochemistry, 20 papers in Physiology and 17 papers in Molecular Biology. Recurrent topics in Nathan E. Wolins's work include Lipid metabolism and biosynthesis (24 papers), Adipose Tissue and Metabolism (18 papers) and Peroxisome Proliferator-Activated Receptors (8 papers). Nathan E. Wolins is often cited by papers focused on Lipid metabolism and biosynthesis (24 papers), Adipose Tissue and Metabolism (18 papers) and Peroxisome Proliferator-Activated Receptors (8 papers). Nathan E. Wolins collaborates with scholars based in United States, Belgium and Italy. Nathan E. Wolins's co-authors include Dawn Brasaemle, Perry E. Bickel, James R. Skinner, Anatoly Tzekov, T Barber, D L Brasaemle, E. Joan Blanchette‐Mackie, Constantine Londos, Ginette Serrero and Trevor M. Shew and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Hepatology.

In The Last Decade

Nathan E. Wolins

32 papers receiving 3.3k citations

Hit Papers

Adipose differentiation-related protein is an ubiquitousl... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan E. Wolins United States 25 2.2k 1.7k 1.2k 748 462 32 3.3k
Sandra Eder Austria 17 1.2k 0.6× 1.5k 0.9× 1.3k 1.1× 542 0.7× 183 0.4× 35 3.1k
Tal M. Lewin United States 22 1.2k 0.5× 1.7k 1.0× 528 0.4× 278 0.4× 127 0.3× 27 2.6k
Carol A. Casey United States 31 968 0.4× 1.1k 0.6× 472 0.4× 818 1.1× 98 0.2× 112 3.4k
Joseph L. Dixon United States 25 539 0.2× 1.2k 0.7× 278 0.2× 427 0.6× 153 0.3× 46 2.2k
Li Xu China 28 420 0.2× 1.5k 0.9× 461 0.4× 262 0.4× 145 0.3× 87 2.3k
Sabine Novak Austria 12 937 0.4× 1.1k 0.6× 307 0.2× 163 0.2× 126 0.3× 14 2.0k
Nozomu Kono Japan 28 573 0.3× 1.4k 0.8× 418 0.3× 625 0.8× 53 0.1× 64 2.8k
Gregory S. Shelness United States 39 855 0.4× 1.9k 1.1× 361 0.3× 620 0.8× 83 0.2× 72 3.8k
Carrie B. Welch United States 10 856 0.4× 834 0.5× 370 0.3× 113 0.2× 112 0.2× 13 1.8k

Countries citing papers authored by Nathan E. Wolins

Since Specialization
Citations

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

Fields of papers citing papers by Nathan E. Wolins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan E. Wolins. 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 Nathan E. Wolins. The network helps show where Nathan E. Wolins may publish in the future.

Co-authorship network of co-authors of Nathan E. Wolins

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan E. Wolins. A scholar is included among the top collaborators of Nathan E. Wolins 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 Nathan E. Wolins. Nathan E. Wolins 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.
Shew, Trevor M., Nathan E. Wolins, & Vincenza Cifarelli. (2018). VEGFR-3 Signaling Regulates Triglyceride Retention and Absorption in the Intestine. Frontiers in Physiology. 9. 1783–1783. 24 indexed citations
2.
Wolins, Nathan E., et al.. (2018). Normalized neutral lipid quantitation by flow cytometry. Journal of Lipid Research. 59(7). 1294–1300. 5 indexed citations
3.
Listenberger, Laura, et al.. (2016). Fluorescent Detection of Lipid Droplets and Associated Proteins. Current Protocols in Cell Biology. 71(1). 45 indexed citations
4.
Skinner, James R., et al.. (2013). Perilipin 1 moves between the fat droplet and the endoplasmic reticulum. Adipocyte. 2(2). 80–86. 28 indexed citations
5.
Skinner, James R., et al.. (2013). Imaging of Neutral Lipids and Neutral Lipid Associated Proteins. Methods in cell biology. 116. 213–226. 24 indexed citations
6.
Shew, Trevor M., et al.. (2012). A single centrifugation method for isolating fat droplets from cells and tissues. Journal of Lipid Research. 53(5). 1021–1025. 19 indexed citations
7.
Bai, Liang, Yuzhi Jia, Navin Viswakarma, et al.. (2011). Transcription coactivator mediator subunit MED1 Is required for the development of fatty liver in the mouse. Hepatology. 53(4). 1164–1174. 52 indexed citations
8.
Brasaemle, Dawn & Nathan E. Wolins. (2011). Packaging of Fat: An Evolving Model of Lipid Droplet Assembly and Expansion. Journal of Biological Chemistry. 287(4). 2273–2279. 186 indexed citations
9.
Hall, Angela, Elizabeth M. Brunt, Zhouji Chen, et al.. (2009). Dynamic and differential regulation of proteins that coat lipid droplets in fatty liver dystrophic mice. Journal of Lipid Research. 51(3). 554–563. 53 indexed citations
10.
Skinner, James R., Trevor M. Shew, Anatoly Tzekov, et al.. (2009). Diacylglycerol Enrichment of Endoplasmic Reticulum or Lipid Droplets Recruits Perilipin 3/TIP47 during Lipid Storage and Mobilization. Journal of Biological Chemistry. 284(45). 30941–30948. 123 indexed citations
11.
Gropler, Matthew C., Thurl E. Harris, Angela Hall, et al.. (2009). Lipin 2 Is a Liver-enriched Phosphatidate Phosphohydrolase Enzyme That Is Dynamically Regulated by Fasting and Obesity in Mice. Journal of Biological Chemistry. 284(11). 6763–6772. 66 indexed citations
12.
Wolins, Nathan E., et al.. (2007). A simple and rapid method to assay triacylglycerol in cells and tissues. Journal of Lipid Research. 48(11). 2514–2520. 77 indexed citations
13.
Wolins, Nathan E., Dawn Brasaemle, & Perry E. Bickel. (2006). A proposed model of fat packaging by exchangeable lipid droplet proteins. FEBS Letters. 580(23). 5484–5491. 334 indexed citations
14.
Wolins, Nathan E., et al.. (2005). S3-12, Adipophilin, and TIP47 Package Lipid in Adipocytes. Journal of Biological Chemistry. 280(19). 19146–19155. 301 indexed citations
15.
Wolins, Nathan E., James R. Skinner, Anatoly Tzekov, et al.. (2005). OP9 mouse stromal cells rapidly differentiate into adipocytes: characterization of a useful new model of adipogenesis. Journal of Lipid Research. 47(2). 450–460. 152 indexed citations
16.
Wolins, Nathan E., et al.. (2003). Adipocyte Protein S3-12 Coats Nascent Lipid Droplets. Journal of Biological Chemistry. 278(39). 37713–37721. 184 indexed citations
17.
Wolins, Nathan E., et al.. (2001). TIP47 Associates with Lipid Droplets. Journal of Biological Chemistry. 276(7). 5101–5108. 251 indexed citations
18.
Dell’Angelica, Esteban C., R. Claudio Aguilar, Nathan E. Wolins, et al.. (2000). Molecular Characterization of the Protein Encoded by the Hermansky-Pudlak Syndrome Type 1 Gene. Journal of Biological Chemistry. 275(2). 1300–1306. 81 indexed citations
20.
Kharroubi, Akram, Nathan E. Wolins, Scott Tenner, et al.. (1991). Elevated cholesterol and decreased sterol carrier protein-2 in peroxisomes from AS-30D hepatoma compared to normal rat liver. Archives of Biochemistry and Biophysics. 285(2). 238–245. 14 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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