Michael J. Garabedian

12.3k total citations · 2 hit papers
133 papers, 9.6k citations indexed

About

Michael J. Garabedian is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael J. Garabedian has authored 133 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 57 papers in Genetics and 34 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael J. Garabedian's work include Estrogen and related hormone effects (51 papers), Prostate Cancer Treatment and Research (29 papers) and Hormonal Regulation and Hypertension (16 papers). Michael J. Garabedian is often cited by papers focused on Estrogen and related hormone effects (51 papers), Prostate Cancer Treatment and Research (29 papers) and Hormonal Regulation and Hypertension (16 papers). Michael J. Garabedian collaborates with scholars based in United States, France and United Kingdom. Michael J. Garabedian's co-authors include Inez Rogatsky, Keith R. Yamamoto, Susan K. Logan, Naı̈ma Ismaı̈li, Janet M. Trowbridge, Freddy Jeanneteau, Zhen Wang, Pieter C. Wensink, Moses V. Chao and Michael R. Stallcup and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael J. Garabedian

129 papers receiving 9.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Reduced levels of hsp90 compromise steroid receptor action in vivo

1990 679 citations Michael J. Garabedian et al. profile →
GRIP1, a Transcriptional Coactivator for the AF-2 Transactivation Domain of Steroid, Thyroid, Retinoid, and Vitamin D Receptors

1997 500 citations Michael J. Garabedian et al. Molecular and Cellular Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael J. Garabedian United States	54	5.0k	2.9k	1.5k	1.4k	1.4k	133	9.6k
Markku Pelto‐Huikko Finland	49	4.6k 0.9×	4.9k 1.7×	934 0.6×	1.6k 1.1×	1.5k 1.0×	142	10.9k
Donald Defranco United States	55	5.3k 1.1×	2.3k 0.8×	860 0.6×	644 0.4×	1.3k 0.9×	165	9.1k
Sam Okret Sweden	50	3.4k 0.7×	3.4k 1.2×	1.5k 1.0×	874 0.6×	2.6k 1.8×	120	9.2k
Andrée Krust France	50	7.4k 1.5×	7.3k 2.5×	2.1k 1.4×	1.9k 1.3×	2.2k 1.5×	76	14.2k
Wolfgang Schmid Germany	45	4.2k 0.8×	2.8k 1.0×	1.3k 0.8×	863 0.6×	2.2k 1.5×	108	9.3k
Ratna K. Vadlamudi United States	64	7.0k 1.4×	2.7k 0.9×	1.1k 0.7×	3.4k 2.4×	822 0.6×	227	11.8k
G. Schütz Germany	52	4.7k 0.9×	2.8k 1.0×	954 0.6×	712 0.5×	1.3k 0.9×	97	8.3k
Eva Enmark Sweden	24	5.1k 1.0×	10.7k 3.7×	1.5k 1.0×	2.5k 1.7×	3.1k 2.1×	29	14.9k
Jorma J. Palvimo Finland	58	8.0k 1.6×	3.4k 1.2×	1.3k 0.9×	2.2k 1.6×	2.0k 1.4×	197	11.9k
Robert H. Oakley United States	35	4.0k 0.8×	1.2k 0.4×	827 0.5×	644 0.4×	1.3k 0.9×	71	7.2k

Countries citing papers authored by Michael J. Garabedian

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Garabedian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Garabedian

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

All Works

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20 of 20 papers shown

Franco, J. Campos, Susan Ha, Jill E. Schneider, et al.. (2025). In Vivo Efficacy of a Macrocyclic Peptoid‐Peptide Hybrid That Selectively Modulates the Beta‐Catenin/TCF Interaction to Inhibit Prostate Cancer. The Prostate. 85(7). 646–658.

Wing, Allison, Elise Jeffery, Christopher Church, et al.. (2025). Dietary oleic acid drives obesogenic adipogenesis via modulation of LXRα signaling. Cell Reports. 44(4). 115527–115527.

Wilson, Robin A., Michaele B. Manigrasso, Boyan Zhou, et al.. (2024). Sex differences in murine MASH induced by a fructose-palmitate-cholesterol-enriched diet. JHEP Reports. 7(2). 101222–101222. 7 indexed citations

Ruoff, Rachel, Hannah Weber, Ying Wang, et al.. (2023). MED19 encodes two unique protein isoforms that confer prostate cancer growth under low androgen through distinct gene expression programs. Scientific Reports. 13(1). 18227–18227. 4 indexed citations

Schneider, Jeffrey A., Susan Ha, Rachel Ruoff, et al.. (2023). A Multivalent Peptoid Conjugate Modulates Androgen Receptor Transcriptional Activity to Inhibit Therapy-resistant Prostate Cancer. Molecular Cancer Therapeutics. 22(10). 1166–1181. 2 indexed citations

Arango-Lievano, Margarita, et al.. (2019). Persistence of learning-induced synapses depends on neurotrophic priming of glucocorticoid receptors. Proceedings of the National Academy of Sciences. 116(26). 13097–13106. 35 indexed citations

Wang, Yu, Paul M. Levine, Adam A. Profit, et al.. (2016). Multivalent Peptoid Conjugates Which Overcome Enzalutamide Resistance in Prostate Cancer Cells. Cancer Research. 76(17). 5124–5132. 17 indexed citations

Ren, Qinghu, Liying Zhang, Rachel Ruoff, et al.. (2013). Expression of androgen receptor and its phosphorylated forms in breast cancer progression. Cancer. 119(14). 2532–2540. 21 indexed citations

Jeanneteau, Freddy, W. Marcus Lambert, Naı̈ma Ismaı̈li, et al.. (2012). BDNF and glucocorticoids regulate corticotrophin-releasing hormone (CRH) homeostasis in the hypothalamus. Proceedings of the National Academy of Sciences. 109(4). 1305–1310. 196 indexed citations

10.

Feig, Jonathan E., James X. Rong, Raanan Shamir, et al.. (2011). HDL promotes rapid atherosclerosis regression in mice and alters inflammatory properties of plaque monocyte-derived cells. Proceedings of the National Academy of Sciences. 108(17). 7166–7171. 250 indexed citations

11.

Holub, Justin M., Michael J. Garabedian, & Kent Kirshenbaum. (2011). Modulation of human estrogen receptor α activity by multivalent estradiol–peptidomimetic conjugates. Molecular BioSystems. 7(2). 337–345. 7 indexed citations

12.

Anacker, Christoph, Patricia A. Zunszain, Annamaria Cattaneo, et al.. (2011). Antidepressants increase human hippocampal neurogenesis by activating the glucocorticoid receptor. Molecular Psychiatry. 16(7). 738–750. 342 indexed citations

13.

Simpson, Natalie E., W. Marcus Lambert, Shah Giashuddin, et al.. (2010). High Levels of Hsp90 Cochaperone p23 Promote Tumor Progression and Poor Prognosis in Breast Cancer by Increasing Lymph Node Metastases and Drug Resistance. Cancer Research. 70(21). 8446–8456. 48 indexed citations

14.

Ligr, Martin, Yi‐Rong Li, Xuanyi Zou, et al.. (2010). Tumor Suppressor Function of Androgen Receptor Coactivator ARA70α in Prostate Cancer. American Journal Of Pathology. 176(4). 1891–1900. 27 indexed citations

15.

Nwachukwu, J.C., Paolo Mita, Rachel Ruoff, et al.. (2009). Genome-Wide Impact of Androgen Receptor Trapped clone-27 Loss on Androgen-Regulated Transcription in Prostate Cancer Cells. Cancer Research. 69(7). 3140–3147. 23 indexed citations

16.

Jeanneteau, Freddy, Michael J. Garabedian, & Moses V. Chao. (2008). Activation of Trk neurotrophin receptors by glucocorticoids provides a neuroprotective effect. Proceedings of the National Academy of Sciences. 105(12). 4862–4867. 172 indexed citations

17.

Kino, Tomoshige, Takamasa Ichijo, Niranjana D. Amin, et al.. (2007). Cyclin-Dependent Kinase 5 Differentially Regulates the Transcriptional Activity of the Glucocorticoid Receptor through Phosphorylation: Clinical Implications for the Nervous System Response to Glucocorticoids and Stress. Molecular Endocrinology. 21(7). 1552–1568. 109 indexed citations

18.

Nwachukwu, J.C., Wenhui Li, Inès Pineda‐Torra, et al.. (2007). Transcriptional Regulation of the Androgen Receptor Cofactor Androgen Receptor Trapped Clone-27. Molecular Endocrinology. 21(12). 2864–2876. 15 indexed citations

19.

Knoblauch, Roland E. & Michael J. Garabedian. (1999). Role for Hsp90-Associated Cochaperone p23 in Estrogen Receptor Signal Transduction. Molecular and Cellular Biology. 19(5). 3748–3759. 94 indexed citations

20.

Rogatsky, Inez, Janet M. Trowbridge, & Michael J. Garabedian. (1997). Glucocorticoid Receptor-Mediated Cell Cycle Arrest Is Achieved through Distinct Cell-Specific Transcriptional Regulatory Mechanisms. Molecular and Cellular Biology. 17(6). 3181–3193. 215 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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