Jane G. Binz

1.3k total citations
9 papers, 958 citations indexed

About

Jane G. Binz is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Jane G. Binz has authored 9 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Jane G. Binz's work include Drug Transport and Resistance Mechanisms (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Jane G. Binz is often cited by papers focused on Drug Transport and Resistance Mechanisms (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Jane G. Binz collaborates with scholars based in United States, China and France. Jane G. Binz's co-authors include Steven A. Kliewer, Guizhen Luo, Bryan Goodwin, Yaping Liu, S. R. Dennis, Stacey A. Jones, Traci A. Mansfield, Joan G. Wilson, Michael C. Lewis and Michael A. Watson and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Jane G. Binz

9 papers receiving 929 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane G. Binz United States 8 504 483 437 164 100 9 958
Erika Owsley United States 11 371 0.7× 441 0.9× 395 0.9× 321 2.0× 81 0.8× 17 1.0k
Tracy L. Zimmerman United States 9 457 0.9× 581 1.2× 364 0.8× 223 1.4× 139 1.4× 12 1.1k
Masanori Yamada Japan 19 415 0.8× 322 0.7× 270 0.6× 66 0.4× 78 0.8× 92 1.1k
Shinji Ito Japan 7 239 0.5× 325 0.7× 225 0.5× 188 1.1× 64 0.6× 9 698
Long Jiang China 18 274 0.5× 162 0.3× 318 0.7× 148 0.9× 97 1.0× 69 974
Xiulong Song United States 18 160 0.3× 407 0.8× 259 0.6× 131 0.8× 56 0.6× 25 865
V. Subbarao United States 21 307 0.6× 273 0.6× 589 1.3× 127 0.8× 149 1.5× 58 1.2k
Yanqiao Zhang China 12 267 0.5× 519 1.1× 225 0.5× 136 0.8× 47 0.5× 22 751
Ji Hoon Yu South Korea 17 344 0.7× 205 0.4× 296 0.7× 134 0.8× 32 0.3× 26 805
Hélène Dehondt France 15 326 0.6× 203 0.4× 518 1.2× 280 1.7× 70 0.7× 18 1.1k

Countries citing papers authored by Jane G. Binz

Since Specialization
Citations

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

Fields of papers citing papers by Jane G. Binz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane G. Binz. 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 Jane G. Binz. The network helps show where Jane G. Binz may publish in the future.

Co-authorship network of co-authors of Jane G. Binz

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

All Works

9 of 9 papers shown
1.
Albarazanji, Kamal, Judi A. McNulty, Jane G. Binz, et al.. (2015). Synergistic Effects of a GPR119 Agonist with Metformin on Weight Loss in Diet-Induced Obese Mice. Journal of Pharmacology and Experimental Therapeutics. 353(3). 496–504. 15 indexed citations
2.
Conway, James G., Sarva M. Tadepalli, Peiyuan Lin, et al.. (2008). Effects of the cFMS Kinase Inhibitor 5-(3-Methoxy-4-((4-methoxybenzyl)oxy)benzyl)pyrimidine-2,4-diamine (GW2580) in Normal and Arthritic Rats. Journal of Pharmacology and Experimental Therapeutics. 326(1). 41–50. 48 indexed citations
3.
Harrington, W. Wallace, Joan G. Wilson, Jane G. Binz, et al.. (2007). The Effect of PPARα, PPARδ, PPARγ, and PPARpan Agonists on Body Weight, Body Mass, and Serum Lipid Profiles in Diet-Induced Obese AKR/J Mice. PPAR Research. 2007. 1–13. 60 indexed citations
4.
Chen, Lihong, Baichun Yang, Judi A. McNulty, et al.. (2005). GI262570, a Peroxisome Proliferator-Activated Receptor γ Agonist, Changes Electrolytes and Water Reabsorption from the Distal Nephron in Rats. Journal of Pharmacology and Experimental Therapeutics. 312(2). 718–725. 66 indexed citations
5.
Liu, Yaping, Jane G. Binz, S. R. Dennis, et al.. (2003). Hepatoprotection by the farnesoid X receptor agonist GW4064 in rat models of intra- and extrahepatic cholestasis. Journal of Clinical Investigation. 112(11). 1678–1687. 318 indexed citations
6.
Liu, Yaping, Jane G. Binz, S. R. Dennis, et al.. (2003). Hepatoprotection by the farnesoid X receptor agonist GW4064 in rat models of intra- and extrahepatic cholestasis. Journal of Clinical Investigation. 112(11). 1678–1687. 27 indexed citations
7.
Collins, Jon L., Adam M. Fivush, Michael A. Watson, et al.. (2002). Identification of a Nonsteroidal Liver X Receptor Agonist through Parallel Array Synthesis of Tertiary Amines. Journal of Medicinal Chemistry. 45(10). 1963–1966. 345 indexed citations
8.
Hashim, Mir A., et al.. (2000). Antidiabetic efficacy of GI262570 in two rodent models of type 2 diabetes. Diabetes Research and Clinical Practice. 50. 388–388. 1 indexed citations
9.

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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