James J. Schultz

1.3k total citations
21 papers, 1.0k citations indexed

About

James J. Schultz is a scholar working on Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, James J. Schultz has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 10 papers in Molecular Biology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in James J. Schultz's work include Alzheimer's disease research and treatments (5 papers), Adipose Tissue and Metabolism (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). James J. Schultz is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Adipose Tissue and Metabolism (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). James J. Schultz collaborates with scholars based in United States, United Kingdom and Russia. James J. Schultz's co-authors include Gregory A. Brent, Antônio C. Bianco, Miriam O. Ribeiro, Yan‐Yun Liu, Grazia Chiellini, Thomas S. Scanlan, Suzy D. Carvalho, Takahiko Kogai, Stephen A. O’Barr and Min Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

James J. Schultz

20 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James J. Schultz United States 14 472 434 340 133 121 21 1.0k
Lionel Carneiro France 19 248 0.5× 422 1.0× 399 1.2× 109 0.8× 85 0.7× 31 1.1k
Ravindra Dhir United States 14 218 0.5× 320 0.7× 424 1.2× 191 1.4× 131 1.1× 22 1.1k
Stephanie Baudler Germany 8 183 0.4× 489 1.1× 398 1.2× 204 1.5× 78 0.6× 11 998
C. Hofmann United States 17 255 0.5× 355 0.8× 705 2.1× 293 2.2× 169 1.4× 24 1.3k
C A Siegrist-Kaiser Switzerland 9 242 0.5× 394 0.9× 433 1.3× 231 1.7× 74 0.6× 10 972
Mélis Karaca Switzerland 19 396 0.8× 338 0.8× 682 2.0× 149 1.1× 188 1.6× 26 1.5k
Bilal Omar Sweden 15 323 0.7× 201 0.5× 390 1.1× 105 0.8× 80 0.7× 22 842
Patrizia Borboni Italy 14 314 0.7× 158 0.4× 456 1.3× 89 0.7× 118 1.0× 21 881
James Cantley United Kingdom 23 451 1.0× 328 0.8× 735 2.2× 232 1.7× 251 2.1× 44 1.5k
Janny P. Schröder-van der Elst Netherlands 18 432 0.9× 182 0.4× 248 0.7× 130 1.0× 89 0.7× 31 898

Countries citing papers authored by James J. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by James J. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James J. Schultz. 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 James J. Schultz. The network helps show where James J. Schultz may publish in the future.

Co-authorship network of co-authors of James J. Schultz

This figure shows the co-authorship network connecting the top 25 collaborators of James J. Schultz. A scholar is included among the top collaborators of James J. Schultz 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 James J. Schultz. James J. Schultz 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.
Liu, Yan Yun, et al.. (2012). Thyroid Hormone Receptor Isoform-specific Modification by Small Ubiquitin-like Modifier (SUMO) Modulates Thyroid Hormone-dependent Gene Regulation. Journal of Biological Chemistry. 287(43). 36499–36508. 25 indexed citations
2.
Quesada, Arnulfo, et al.. (2011). C-terminal mechano-growth factor induces heme oxygenase-1-mediated neuroprotection of SH-SY5Y cells via the protein kinase Cϵ/Nrf2 pathway. Journal of Neuroscience Research. 89(3). 394–405. 46 indexed citations
3.
Ribeiro, Miriam O., Suzy D.C. Bianco, Masahiro Kaneshige, et al.. (2009). Expression of Uncoupling Protein 1 in Mouse Brown Adipose Tissue Is Thyroid Hormone Receptor-β Isoform Specific and Required for Adaptive Thermogenesis. Endocrinology. 151(1). 432–440. 107 indexed citations
4.
O’Barr, Stephen A., et al.. (2009). P1‐229: Effects of zinc plus cyclo(his‐pro) on pathology, learning and memory in a transgenic mouse model of Alzheimer's disease. Alzheimer s & Dementia. 5(4S_Part_8). 4 indexed citations
5.
6.
O’Barr, Stephen A., et al.. (2006). Thyroid Hormone Regulates Endogenous Amyloid- β Precursor Protein Gene Expression and Processing in Both In Vitro and In Vivo Models. Thyroid. 16(12). 1207–1213. 52 indexed citations
7.
Kogai, Takahiko, Yoko Kanamoto, Katsumi Taki, et al.. (2004). Systemic Retinoic Acid Treatment Induces Sodium/Iodide Symporter Expression and Radioiodide Uptake in Mouse Breast Cancer Models. Cancer Research. 64(1). 415–422. 55 indexed citations
8.
Liu, Yan‐Yun, James J. Schultz, & Gregory A. Brent. (2003). A Thyroid Hormone Receptor α Gene Mutation (P398H) Is Associated with Visceral Adiposity and Impaired Catecholamine-stimulated Lipolysis in Mice. Journal of Biological Chemistry. 278(40). 38913–38920. 131 indexed citations
9.
Gouveia, Cecília Helena de Azevedo, James J. Schultz, Deborah Jackson, Graham R. Williams, & Gregory A. Brent. (2002). Thyroid Hormone Gene Targets in ROS 17/2.8 Osteoblast-Like Cells Identified by Differential Display Analysis. Thyroid. 12(8). 663–671. 8 indexed citations
10.
Ribeiro, Miriam O., Suzy D. Carvalho, James J. Schultz, et al.. (2001). Thyroid hormone–sympathetic interaction and adaptive thermogenesis are thyroid hormone receptor isoform–specific. Journal of Clinical Investigation. 108(1). 97–105. 71 indexed citations
11.
Kogai, Takahiko, James J. Schultz, Laura S. Johnson, Min Huang, & Gregory A. Brent. (2000). Retinoic acid induces sodium/iodide symporter gene expression and radioiodide uptake in the MCF-7 breast cancer cell line. Proceedings of the National Academy of Sciences. 97(15). 8519–8524. 114 indexed citations
12.
O’Barr, Stephen A., James J. Schultz, & Joseph Rogers. (1996). Expression of the protooncogene bcl-2 in Alzheimer's disease brain. Neurobiology of Aging. 17(1). 131–136. 42 indexed citations
13.
Schultz, James J., et al.. (1994). Enhanced cytotoxicity of amyloid β-peptide by a complement dependent mechanism. Neuroscience Letters. 175(1-2). 99–102. 25 indexed citations
14.
Brachova, Libuse, et al.. (1993). Association cortex, cerebellum, and serum concentrations of C1q and factor B in Alzheimer's disease. Molecular Brain Research. 18(4). 329–334. 35 indexed citations
15.
Lin, Alan, James J. Schultz, Robert Brenner, & Sydney A. Shain. (1990). Sexual dimorphism characterizes baboon myocardial androgen receptors but not myocardial estrogen and progesterone receptors. The Journal of Steroid Biochemistry and Molecular Biology. 37(1). 85–95. 19 indexed citations
16.
Schultz, James J.. (1989). Production of granular NPKs in ammonium phosphate plants: some important differences.. Klinicheskaia khirurgiia. 38–38. 1 indexed citations
17.
Schultz, James J., Margaret P. Price, & Earl Frieden. (1988). Triiodothyronine increases translatable albumin messenger RNA in Rana catesbeiana tadpole liver. Journal of Experimental Zoology. 247(1). 69–76. 9 indexed citations
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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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