Amy K. Hauck

748 total citations
9 papers, 526 citations indexed

About

Amy K. Hauck is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Amy K. Hauck has authored 9 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Physiology and 2 papers in Epidemiology. Recurrent topics in Amy K. Hauck's work include Adipose Tissue and Metabolism (6 papers), Redox biology and oxidative stress (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Amy K. Hauck is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Redox biology and oxidative stress (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Amy K. Hauck collaborates with scholars based in United States, Greece and United Kingdom. Amy K. Hauck's co-authors include David Bernlohr, Ann V. Hertzel, Mitchell A. Lazar, Marine Adlanmérini, Hoang C.B. Nguyen, Yue Chen, Tong Zhou, Yuxiang Sun, Michael B. O’Connor and Rui Kuang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Amy K. Hauck

9 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amy K. Hauck United States	6	244	133	89	52	44	9	526
Qingwei Chen China	13	192 0.8×	105 0.8×	71 0.8×	37 0.7×	49 1.1×	39	478
Solveig Hasselwander Germany	8	176 0.7×	115 0.9×	84 0.9×	34 0.7×	51 1.2×	10	490
Qingfa Chen China	11	323 1.3×	74 0.6×	51 0.6×	38 0.7×	45 1.0×	32	671
Cristina de Dios Spain	9	273 1.1×	170 1.3×	144 1.6×	38 0.7×	47 1.1×	11	570
Sunao Shimizu Japan	6	267 1.1×	81 0.6×	59 0.7×	36 0.7×	29 0.7×	13	500
Shi‐Hui Law Taiwan	5	363 1.5×	133 1.0×	88 1.0×	50 1.0×	55 1.3×	6	654
Sujin Suk United States	13	220 0.9×	134 1.0×	112 1.3×	21 0.4×	27 0.6×	16	560
Ji Yong Jang South Korea	10	315 1.3×	114 0.9×	72 0.8×	25 0.5×	36 0.8×	11	614
Liz M. Garcia‐Peterson United States	7	337 1.4×	141 1.1×	165 1.9×	28 0.5×	74 1.7×	7	810
Chandran Janani India	4	305 1.3×	130 1.0×	87 1.0×	27 0.5×	71 1.6×	6	583

Countries citing papers authored by Amy K. Hauck

Since Specialization

Citations

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

Fields of papers citing papers by Amy K. Hauck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy K. Hauck. 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 Amy K. Hauck. The network helps show where Amy K. Hauck may publish in the future.

Co-authorship network of co-authors of Amy K. Hauck

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

All Works

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9 of 9 papers shown

1.

Hauck, Amy K., Rashid Mehmood, Michael C. Tackenberg, et al.. (2024). Nuclear receptor corepressors non-canonically drive glucocorticoid receptor-dependent activation of hepatic gluconeogenesis. Nature Metabolism. 6(5). 825–836. 4 indexed citations

2.

Inoue, Shin‐ichi, Matthew J. Emmett, Hee‐Woong Lim, et al.. (2024). Short-term cold exposure induces persistent epigenomic memory in brown fat. Cell Metabolism. 36(8). 1764–1778.e9. 16 indexed citations

3.

Richter, Hannah J., Amy K. Hauck, Kirill Batmanov, et al.. (2022). Balanced control of thermogenesis by nuclear receptor corepressors in brown adipose tissue. Proceedings of the National Academy of Sciences. 119(33). e2205276119–e2205276119. 5 indexed citations

4.

Nguyen, Hoang C.B., Marine Adlanmérini, Amy K. Hauck, & Mitchell A. Lazar. (2020). Dichotomous engagement of HDAC3 activity governs inflammatory responses. Nature. 584(7820). 286–290. 104 indexed citations

5.

Hauck, Amy K., Tong Zhou, Yuxiang Sun, et al.. (2020). Histone Carbonylation Is a Redox-Regulated Epigenomic Mark That Accumulates with Obesity and Aging. Antioxidants. 9(12). 1210–1210. 27 indexed citations

6.

Hauck, Amy K., Tong Zhou, Wendy Hahn, et al.. (2018). Obesity-induced protein carbonylation in murine adipose tissue regulates the DNA-binding domain of nuclear zinc finger proteins. Journal of Biological Chemistry. 293(35). 13464–13476. 19 indexed citations

7.

Hauck, Amy K., et al.. (2018). Adipose oxidative stress and protein carbonylation. Journal of Biological Chemistry. 294(4). 1083–1088. 121 indexed citations

8.

Hauck, Amy K. & David Bernlohr. (2016). Oxidative stress and lipotoxicity. Journal of Lipid Research. 57(11). 1976–1986. 229 indexed citations

9.

Hauck, Amy K., et al.. (2016). Mitochondrial Oxidative Stress Induced by Downregulation of Antioxidant Enzymes Leads to Nuclear Protein Carbonylation by Retrograde Signaling in 3T3-L1 Adipocytes. Free Radical Biology and Medicine. 100. S173–S174. 1 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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