Joseph L. Messina

2.3k total citations
76 papers, 1.8k citations indexed

About

Joseph L. Messina is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Joseph L. Messina has authored 76 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 27 papers in Endocrinology, Diabetes and Metabolism and 13 papers in Epidemiology. Recurrent topics in Joseph L. Messina's work include Metabolism, Diabetes, and Cancer (22 papers), Protein Kinase Regulation and GTPase Signaling (17 papers) and Growth Hormone and Insulin-like Growth Factors (13 papers). Joseph L. Messina is often cited by papers focused on Metabolism, Diabetes, and Cancer (22 papers), Protein Kinase Regulation and GTPase Signaling (17 papers) and Growth Hormone and Insulin-like Growth Factors (13 papers). Joseph L. Messina collaborates with scholars based in United States, South Korea and Germany. Joseph L. Messina's co-authors include Ruth S. Weinstock, Adam B. Keeton, Li Li, Shaonin Ji, Stuart J. Frank, Joseph Larner, Joyce L. Hamlin, Jie Xu, Jie Xu and Lidong Zhai and has published in prestigious journals such as Journal of Biological Chemistry, Endocrine Reviews and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Joseph L. Messina

76 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph L. Messina United States 24 1.0k 491 322 279 241 76 1.8k
Giulio R. Romeo United States 21 783 0.8× 357 0.7× 245 0.8× 245 0.9× 206 0.9× 44 2.1k
David Vicent Spain 19 899 0.9× 461 0.9× 535 1.7× 331 1.2× 340 1.4× 37 2.0k
Ritsuko Yamamoto‐Honda Japan 24 1.2k 1.2× 602 1.2× 326 1.0× 514 1.8× 145 0.6× 62 1.9k
Naotake Hashimoto Japan 23 818 0.8× 450 0.9× 406 1.3× 435 1.6× 371 1.5× 83 1.9k
Maria Lúcia Corrêa‐Giannella Brazil 27 528 0.5× 580 1.2× 298 0.9× 405 1.5× 417 1.7× 122 1.9k
Jean Marie Saudubray France 35 1.9k 1.9× 533 1.1× 638 2.0× 356 1.3× 148 0.6× 88 3.5k
Stefan Lehr Germany 25 780 0.8× 201 0.4× 260 0.8× 325 1.2× 271 1.1× 59 1.6k
Daniel Giannella‐Neto Brazil 24 526 0.5× 736 1.5× 376 1.2× 397 1.4× 394 1.6× 71 1.8k
Georges Berghe Belgium 23 1.4k 1.3× 243 0.5× 290 0.9× 528 1.9× 311 1.3× 46 2.1k
Renzo Cordera Italy 32 1.1k 1.0× 687 1.4× 670 2.1× 834 3.0× 265 1.1× 116 2.6k

Countries citing papers authored by Joseph L. Messina

Since Specialization
Citations

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

Fields of papers citing papers by Joseph L. Messina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph L. Messina. 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 Joseph L. Messina. The network helps show where Joseph L. Messina may publish in the future.

Co-authorship network of co-authors of Joseph L. Messina

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph L. Messina. A scholar is included among the top collaborators of Joseph L. Messina 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 Joseph L. Messina. Joseph L. Messina 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.
Amsler, Margaret O., et al.. (2021). Regulation of glucose responsive protein (GRP) gene expression by insulin. Cell Stress and Chaperones. 27(1). 27–35. 2 indexed citations
2.
Akscyn, Robert M., et al.. (2017). Polytrauma-induced hepatic stress response and the development of liver insulin resistance. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(10). 2672–2679. 3 indexed citations
3.
Messina, Joseph L., et al.. (2016). Prenylation differentially inhibits insulin-dependent immediate early gene mRNA expression. Biochemical and Biophysical Research Communications. 474(3). 594–598. 1 indexed citations
4.
Li, Li, Xiaohua Li, Wenjun Zhou, & Joseph L. Messina. (2013). Acute psychological stress results in the rapid development of insulin resistance. Journal of Endocrinology. 217(2). 175–184. 67 indexed citations
5.
Martin, Rachel E., et al.. (2012). Injury-induced insulin resistance in adipose tissue. Biochemical and Biophysical Research Communications. 421(3). 442–448. 7 indexed citations
6.
Messina, Joseph L.. (2010). Anti-inflammatory action of insulin via induction of Gadd45-β transcription by the mTOR signaling pathway. PubMed. 2001(2). 79–79. 13 indexed citations
7.
Jiang, Shaoning, et al.. (2010). Adenovirus infection results in alterations of insulin signaling and glucose homeostasis. American Journal of Physiology-Endocrinology and Metabolism. 298(6). E1295–E1304. 12 indexed citations
8.
Xu, Jie & Joseph L. Messina. (2009). Chapter 6 Crosstalk Between Growth Hormone and Insulin Signaling. Vitamins and hormones. 80. 125–153. 34 indexed citations
9.
Liu, Jiarong, Xuxia Wu, Joseph L. Messina, et al.. (2009). MammalianTribbleshomolog 3 impairs insulin action in skeletal muscle: role in glucose-induced insulin resistance. American Journal of Physiology-Endocrinology and Metabolism. 298(3). E565–E576. 66 indexed citations
10.
Li, Li & Joseph L. Messina. (2009). Acute insulin resistance following injury. Trends in Endocrinology and Metabolism. 20(9). 429–435. 71 indexed citations
11.
Xu, Jie, Zhongyu Liu, Thomas L. Clemens, & Joseph L. Messina. (2006). Insulin Reverses Growth Hormone-induced Homologous Desensitization. Journal of Biological Chemistry. 281(31). 21594–21606. 11 indexed citations
12.
13.
Xu, Jie, et al.. (2005). Prolonged insulin treatment inhibits GH signaling via STAT3 and STAT1. Journal of Endocrinology. 184(3). 481–492. 26 indexed citations
14.
Xu, Jie, et al.. (2005). Insulin Enhances Growth Hormone Induction of the MEK/ERK Signaling Pathway. Journal of Biological Chemistry. 281(2). 982–992. 44 indexed citations
15.
Stred, Susan E., et al.. (2003). Regulation of hemopexin transcription by calcium ionophores and phorbol ester in hepatoma cells. Molecular and Cellular Endocrinology. 204(1-2). 111–116. 4 indexed citations
16.
Stred, Susan E. & Joseph L. Messina. (2003). Identification of hemopexin as a GH-regulated gene. Molecular and Cellular Endocrinology. 204(1-2). 101–110. 11 indexed citations
17.
Ji, Shaonin, Stuart J. Frank, & Joseph L. Messina. (2002). Growth Hormone-induced Differential Desensitization of STAT5, ERK, and Akt Phosphorylation. Journal of Biological Chemistry. 277(32). 28384–28393. 42 indexed citations
18.
Frank, Stuart J., et al.. (2000). Insights into modulation of (and by) growth hormone signaling. Journal of Laboratory and Clinical Medicine. 136(1). 14–20. 5 indexed citations
19.
Smith, Phillip H., et al.. (1998). Translocation of PKC Delta by Insulin in a Rat Hepatoma Cell Line. Endocrine. 8(2). 161–168. 12 indexed citations
20.
Messina, Joseph L., et al.. (1985). The effects of insulin and concanavalin A on the accumulation of a specific mRNA in rat hepatoma cells. Biochemical and Biophysical Research Communications. 133(3). 1168–1174. 17 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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