Barry D. Gehm

2.1k total citations · 1 hit paper
20 papers, 1.8k citations indexed

About

Barry D. Gehm is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Barry D. Gehm has authored 20 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Cell Biology. Recurrent topics in Barry D. Gehm's work include Estrogen and related hormone effects (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Biotin and Related Studies (3 papers). Barry D. Gehm is often cited by papers focused on Estrogen and related hormone effects (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Biotin and Related Studies (3 papers). Barry D. Gehm collaborates with scholars based in United States, Australia and United Kingdom. Barry D. Gehm's co-authors include J. Larry Jameson, Joanne M. McAndrews, Marsha Rich Rosner, Masafumi Ito, Jeffrey Weiss, Wen-Lin Kuo, Wen‐Liang Kuo, V. Craig Jordan, David G. McConnell and Eun Jig Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Barry D. Gehm

19 papers receiving 1.7k citations

Hit Papers

Resveratrol, a polyphenolic compound found in grapes and ... 1997 2026 2006 2016 1997 250 500 750
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.

  1. Resveratrol, a polyphenolic compound found in grapes and wine, is an agonist for the estrogen receptor
    1997 863 citations Barry D. Gehm, Joanne M. McAndrews et al. Proceedings of the National Academy of Sciences profile →

Peers

Barry D. Gehm
Wen Jing Chung United States
Anastassia Hatzoglou Greece
Dominique Bernard-Gallon France
Eulalia Pozo‐Guisado Spain
Ole Vang Denmark
Ryan W. Dellinger United States
Monica Savio Italy
Jorge Sastre‐Serra Spain
Moammir Hasan Aziz United States
Jung Ho Back United States
Wen Jing Chung United States
Barry D. Gehm
Citations per year, relative to Barry D. Gehm Barry D. Gehm (= 1×) peers Wen Jing Chung

Countries citing papers authored by Barry D. Gehm

Since Specialization
Citations

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

Fields of papers citing papers by Barry D. Gehm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barry D. Gehm. 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 Barry D. Gehm. The network helps show where Barry D. Gehm may publish in the future.

Co-authorship network of co-authors of Barry D. Gehm

This figure shows the co-authorship network connecting the top 25 collaborators of Barry D. Gehm. A scholar is included among the top collaborators of Barry D. Gehm 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 Barry D. Gehm. Barry D. Gehm 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.
Rosner, Marsha Rich, Barry D. Gehm, & J. Victor Garcia. (2020). An evolutionarily conserved enzyme degrades transforming growth factor-alpha as well as insulin. UNC Libraries.
2.
Gehm, Barry D., Anait S. Levenson, Hong Liu, et al.. (2004). Estrogenic effects of resveratrol in breast cancer cells expressing mutant and wild-type estrogen receptors: role of AF-1 and AF-2. The Journal of Steroid Biochemistry and Molecular Biology. 88(3). 223–234. 51 indexed citations
3.
Levenson, Anait S., Barry D. Gehm, Sandra Timm Pearce, et al.. (2003). Resveratrol acts as an estrogen receptor (ER) agonist in breast cancer cells stably transfected with ER α. International Journal of Cancer. 104(5). 587–596. 86 indexed citations
4.
Ito, Masafumi, et al.. (2001). Estrogen Receptor Binding to DNA Is Not Required for Its Activity through the Nonclassical AP1 Pathway. Journal of Biological Chemistry. 276(17). 13615–13621. 234 indexed citations
5.
6.
Lee, Eun Jig, et al.. (2001). Dominant Negative ER Induces Apoptosis in GH4 Pituitary Lactotrope Cells and Inhibits Tumor Growth in Nude Mice. Endocrinology. 142(9). 3756–3763. 44 indexed citations
7.
Gehm, Barry D., Joanne M. McAndrews, V. Craig Jordan, & J. Larry Jameson. (2000). EGF activates highly selective estrogen-responsive reporter plasmids by an ER-independent pathway. Molecular and Cellular Endocrinology. 159(1-2). 53–62. 26 indexed citations
8.
9.
Hamel, Frederick G., Barry D. Gehm, Marsha Rich Rosner, & William C. Duckworth. (1997). Identification of the cleavage sites of transforming growth factor α by insulin-degrading enzymes. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1338(2). 207–214. 16 indexed citations
10.
Gehm, Barry D., et al.. (1997). Resveratrol, a polyphenolic compound found in grapes and wine, is an agonist for the estrogen receptor. Proceedings of the National Academy of Sciences. 94(25). 14138–14143. 863 indexed citations breakdown →
11.
Kuo, Wen-Lin, Barry D. Gehm, Marsha Rich Rosner, Wen‐Hsiung Li, & Gordon Keller. (1994). Inducible expression and cellular localization of insulin-degrading enzyme in a stably transfected cell line.. Journal of Biological Chemistry. 269(36). 22599–22606. 45 indexed citations
12.
Gehm, Barry D., et al.. (1993). Functional analysis of conserved residues in the active site of insulin-degrading enzyme.. Journal of Biological Chemistry. 268(29). 21538–21544. 59 indexed citations
13.
Gehm, Barry D., et al.. (1993). Mutations in a zinc-binding domain of human insulin-degrading enzyme eliminate catalytic activity but not insulin binding.. Journal of Biological Chemistry. 268(11). 7943–7948. 27 indexed citations
14.
Kuo, Wen‐Liang, Barry D. Gehm, & Marsha Rich Rosner. (1991). Regulation of Insulin Degradation: Expression of an Evolutionarily Conserved Insulin-Degrading Enzyme Increases Degradation via an Intracellular Pathway. Molecular Endocrinology. 5(10). 1467–1476. 39 indexed citations
15.
16.
Gehm, Barry D. & Marsha Rich Rosner. (1991). Regulation of Insulin, Epidermal Growth Factor, and Transforming Growth Factor-α Levels by Growth Factor-Degrading Enzymes*. Endocrinology. 128(3). 1603–1610. 60 indexed citations
17.
Gehm, Barry D. & David G. McConnell. (1990). Phosphoinositide synthesis in bovine rod outer segments. Biochemistry. 29(23). 5442–5446. 9 indexed citations
18.
Gehm, Barry D. & David G. McConnell. (1990). Phosphatidylinositol-4,5-bisphosphate phospholipase C in bovine rod outer segments. Biochemistry. 29(23). 5447–5452. 31 indexed citations
19.
Kuo, Wen‐Liang, Barry D. Gehm, & Marsha Rich Rosner. (1990). Cloning and Expression of the cDNA for aDrosophilaInsulin-Degrading Enzyme. Molecular Endocrinology. 4(10). 1580–1591. 51 indexed citations
20.
Gehm, Barry D., et al.. (1989). An evolutionarily conserved enzyme degrades transforming growth factor-alpha as well as insulin.. The Journal of Cell Biology. 109(3). 1301–1307. 47 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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