Robert S. Freeman

4.5k total citations · 4 hit papers
38 papers, 3.8k citations indexed

About

Robert S. Freeman is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Robert S. Freeman has authored 38 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 12 papers in Cancer Research and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Robert S. Freeman's work include Cell death mechanisms and regulation (9 papers), Cancer, Hypoxia, and Metabolism (9 papers) and Nerve injury and regeneration (9 papers). Robert S. Freeman is often cited by papers focused on Cell death mechanisms and regulation (9 papers), Cancer, Hypoxia, and Metabolism (9 papers) and Nerve injury and regeneration (9 papers). Robert S. Freeman collaborates with scholars based in United States, France and Germany. Robert S. Freeman's co-authors include Robert J. Crowder, Eugene M. Johnson, Steven Estus, William J. Zaks, M C Gruda, R Bravo, Patrick D. Sarmiere, Elizabeth A. Lipscomb, Sanjay B. Maggirwar and Stephen Dewhurst and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Robert S. Freeman

38 papers receiving 3.8k citations

Hit Papers

align trajectories

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.

Altered gene expression in neurons during programmed cell death: identification of c-jun as necessary for neuronal apoptosis.

1994 742 citations Steven Estus, Robert S. Freeman et al. profile →
Analysis of cell cycle-related gene expression in postmitotic neurons: Selective induction of cyclin D1 during programmed cell death

1994 511 citations Robert S. Freeman, Steven Estus et al. Neuron profile →
Phosphatidylinositol 3-Kinase and Akt Protein Kinase Are Necessary and Sufficient for the Survival of Nerve Growth Factor-Dependent Sympathetic Neurons

1998 501 citations Robert J. Crowder, Robert S. Freeman Journal of Neuroscience profile →
Neuronal apoptosis linked to EglN3 prolyl hydroxylase and familial pheochromocytoma genes: Developmental culling and cancer

2005 417 citations Robert S. Freeman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert S. Freeman United States	27	2.6k	1.1k	1.0k	454	376	38	3.8k
Gang Pei China	36	3.9k 1.5×	670 0.6×	1.3k 1.3×	523 1.2×	345 0.9×	92	5.3k
Mario Encinas Spain	29	2.0k 0.8×	345 0.3×	780 0.7×	402 0.9×	343 0.9×	49	3.4k
Ryoji Yao Japan	21	3.4k 1.3×	502 0.5×	880 0.8×	813 1.8×	658 1.8×	42	5.0k
Keejung Yoon South Korea	29	3.1k 1.2×	663 0.6×	492 0.5×	420 0.9×	653 1.7×	74	4.5k
Deborah J. Stumpo United States	37	3.5k 1.4×	610 0.6×	426 0.4×	347 0.8×	626 1.7×	88	4.5k
Norihisa Masuyama Japan	26	4.0k 1.5×	540 0.5×	568 0.5×	789 1.7×	824 2.2×	31	5.1k
Jonathan R. Whitfield United Kingdom	19	3.0k 1.2×	551 0.5×	936 0.9×	897 2.0×	302 0.8×	34	4.0k
Chia‐Yi Kuan United States	16	4.4k 1.7×	579 0.5×	1.2k 1.1×	717 1.6×	789 2.1×	21	5.7k
Syu-ichi Hirai Japan	29	2.9k 1.1×	554 0.5×	642 0.6×	563 1.2×	845 2.2×	45	4.2k
Michio Tamatani Japan	24	1.7k 0.7×	439 0.4×	659 0.6×	206 0.5×	543 1.4×	43	3.0k

Countries citing papers authored by Robert S. Freeman

Since Specialization

Citations

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

Fields of papers citing papers by Robert S. Freeman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert S. Freeman. 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 Robert S. Freeman. The network helps show where Robert S. Freeman may publish in the future.

Co-authorship network of co-authors of Robert S. Freeman

This figure shows the co-authorship network connecting the top 25 collaborators of Robert S. Freeman. A scholar is included among the top collaborators of Robert S. Freeman 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 Robert S. Freeman. Robert S. Freeman 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

Papasergi-Scott, Makaía M., Hannah M. Stoveken, PuiYee Chan, et al.. (2018). Dual phosphorylation of Ric-8A enhances its ability to mediate G protein α subunit folding and to stimulate guanine nucleotide exchange. Science Signaling. 11(532). 12 indexed citations

Bellizzi, Matthew J., et al.. (2018). The Mixed-Lineage Kinase Inhibitor URMC-099 Protects Hippocampal Synapses in Experimental Autoimmune Encephalomyelitis. eNeuro. 5(6). ENEURO.0245–18.2018. 15 indexed citations

Holmes, Brent, et al.. (2017). mTORC2/AKT/HSF1/HuR constitute a feed-forward loop regulating Rictor expression and tumor growth in glioblastoma. Oncogene. 37(6). 732–743. 44 indexed citations

Fernandes, Kimberly A., Jeffrey M. Harder, Robert S. Freeman, et al.. (2012). JNK2 and JNK3 are major regulators of axonal injury-induced retinal ganglion cell death. Neurobiology of Disease. 46(2). 393–401. 115 indexed citations

Zhong, Zhihui, Yaoming Wang, Huang Guo, et al.. (2010). Protein S Protects Neurons from Excitotoxic Injury by Activating the TAM Receptor Tyro3–Phosphatidylinositol 3-Kinase–Akt Pathway through Its Sex Hormone-Binding Globulin-Like Region. Journal of Neuroscience. 30(46). 15521–15534. 47 indexed citations

Xie, Liang, Kunhong Xiao, Erin J. Whalen, et al.. (2009). Oxygen-Regulated β ₂ -Adrenergic Receptor Hydroxylation by EGLN3 and Ubiquitylation by pVHL. Science Signaling. 2(78). ra33–ra33. 125 indexed citations

Freeman, Robert S., et al.. (2009). The von Hippel-Lindau protein sensitizes renal carcinoma cells to apoptotic stimuli through stabilization of BIMEL. Oncogene. 28(16). 1864–1874. 24 indexed citations

Desouza, Lynette A., et al.. (2009). Prolyl Hydroxylase Inhibitors Depend on Extracellular Glucose and Hypoxia-Inducible Factor (HIF)-2α to Inhibit Cell Death Caused by Nerve Growth Factor (NGF) Deprivation: Evidence that HIF-2α Has a Role in NGF-Promoted Survival of Sympathetic Neurons. Molecular Pharmacology. 75(5). 1198–1209. 30 indexed citations

Freeman, Robert S., et al.. (2007). Prolyl hydroxylase inhibitors delay neuronal cell death caused by trophic factor deprivation. Journal of Neurochemistry. 103(5). 1897–1906. 41 indexed citations

10.

Fu, Jian, Keon E. Menzies, Robert S. Freeman, & Mark B. Taubman. (2007). EGLN3 Prolyl Hydroxylase Regulates Skeletal Muscle Differentiation and Myogenin Protein Stability. Journal of Biological Chemistry. 282(17). 12410–12418. 67 indexed citations

11.

Freeman, Robert S., et al.. (2004). NGF deprivation-induced gene expression: after ten years, where do we stand?. Progress in brain research. 146. 111–126. 82 indexed citations

12.

Farhana, Lulu, Marcia I. Dawson, Ying Huang, et al.. (2004). Apoptosis signaling by the novel compound 3-Cl-AHPC involves increased EGFR proteolysis and accompanying decreased phosphatidylinositol 3-kinase and AKT kinase activities. Oncogene. 23(10). 1874–1884. 14 indexed citations

13.

Lipscomb, Elizabeth A., et al.. (2003). Induction of SM‐20 in PC12 cells leads to increased cytochrome c levels, accumulation of cytochrome c in the cytosol, and caspase‐dependent cell death. Journal of Neurochemistry. 85(2). 318–328. 35 indexed citations

14.

Wolf, Günter, Sigrid Harendza, Regine Schroeder, et al.. (2002). Angiotensin II's Antiproliferative Effects Mediated Through AT2-Receptors Depend On Down-Regulation of SM-20. Laboratory Investigation. 82(10). 1305–1317. 33 indexed citations

15.

Lipscomb, Elizabeth A., Patrick D. Sarmiere, & Robert S. Freeman. (2001). SM-20 Is a Novel Mitochondrial Protein That Causes Caspase-dependent Cell Death in Nerve Growth Factor-dependent Neurons. Journal of Biological Chemistry. 276(7). 5085–5092. 85 indexed citations

16.

Lipscomb, Elizabeth A., Patrick D. Sarmiere, Robert J. Crowder, & Robert S. Freeman. (1999). Expression of the SM‐20 Gene Promotes Death in Nerve Growth Factor‐Dependent Sympathetic Neurons. Journal of Neurochemistry. 73(1). 429–432. 69 indexed citations

17.

Freeman, Robert S.. (1994). Adult treatment with removal of all four permanent canines. American Journal of Orthodontics and Dentofacial Orthopedics. 106(5). 549–554. 2 indexed citations

18.

Freeman, Robert S., Steven Estus, & Eugene M. Johnson. (1994). Analysis of cell cycle-related gene expression in postmitotic neurons: Selective induction of cyclin D1 during programmed cell death. Neuron. 12(2). 343–355. 511 indexed citations breakdown →

19.

Smith, Carthage J., Eugene M. Johnson, Patricia A. Osborne, et al.. (1993). NGF deprivation and neuronal degeneration trigger altered β-amyloid precursor protein gene expression in the rat superior cervical ganglia in vivo and in vitro. Molecular Brain Research. 17(3-4). 328–334. 21 indexed citations

20.

Freeman, Robert S., Steven Estus, Kazuhiko Horigome, & Eugene M. Johnson. (1993). Cell death genes in invertebrates and (maybe) vertebrates. Current Opinion in Neurobiology. 3(1). 25–31. 36 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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