Munish Mehta

422 total citations
13 papers, 251 citations indexed

About

Munish Mehta is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Munish Mehta has authored 13 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Munish Mehta's work include Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (4 papers) and RNA modifications and cancer (2 papers). Munish Mehta is often cited by papers focused on Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (4 papers) and RNA modifications and cancer (2 papers). Munish Mehta collaborates with scholars based in Australia, United States and Denmark. Munish Mehta's co-authors include Grant Morahan, Ramesh Ram, Flemming Pociot, Lois Balmer, Quang Tri Nguyen, Fang‐Xu Jiang, Robert W. Williams, Daniel M. Gatti, Brian F. Meyer and Patrick Concannon and has published in prestigious journals such as The Journal of Immunology, Diabetes and Genetics.

In The Last Decade

Munish Mehta

12 papers receiving 249 citations

Peers

Munish Mehta
R. John Lye United States
Naeimeh Tayebi Singapore
Tinka Hovnik Slovenia
Michelle Welsh United Kingdom
Qidi Wang China
Giorgio Basile United States
R. John Lye United States
Munish Mehta
Citations per year, relative to Munish Mehta Munish Mehta (= 1×) peers R. John Lye

Countries citing papers authored by Munish Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Munish Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Munish Mehta. 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 Munish Mehta. The network helps show where Munish Mehta may publish in the future.

Co-authorship network of co-authors of Munish Mehta

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

All Works

13 of 13 papers shown
1.
Boutilier, Jordan, Rhonda L. Taylor, Ramesh Ram, et al.. (2017). Variable cardiac α-actin (Actc1) expression in early adult skeletal muscle correlates with promoter methylation. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1860(10). 1025–1036. 21 indexed citations
2.
Jiang, Fang‐Xu, Kevin Li, Michael C. Archer, et al.. (2017). Differentiation of Islet Progenitors Regulated by Nicotinamide into Transcriptome-Verified β Cells That Ameliorate Diabetes. Stem Cells. 35(5). 1341–1354. 13 indexed citations
3.
Ram, Ramesh, Munish Mehta, Quang Tri Nguyen, et al.. (2016). Systematic Evaluation of Genes and Genetic Variants Associated with Type 1 Diabetes Susceptibility. The Journal of Immunology. 196(7). 3043–3053. 38 indexed citations
4.
Wakil, Salma M., Ramesh Ram, Munish Mehta, et al.. (2016). Data on common variants associated with coronary artery disease/myocardial infarction in ethnic Arabs. Data in Brief. 7. 172–176.
5.
Wakil, Salma M., Ramesh Ram, Munish Mehta, et al.. (2015). A genome-wide association study reveals susceptibility loci for myocardial infarction/coronary artery disease in Saudi Arabs. Atherosclerosis. 245. 62–70. 55 indexed citations
6.
Ram, Ramesh, Munish Mehta, Lois Balmer, Daniel M. Gatti, & Grant Morahan. (2014). Rapid Identification of Major-Effect Genes Using the Collaborative Cross. Genetics. 198(1). 75–86. 30 indexed citations
7.
Mehta, Munish, et al.. (2012). Directed Differentiation of Embryonic Stem Cells Allows Exploration of Novel Transcription Factor Genes for Pancreas Development. Stem Cell Reviews and Reports. 8(3). 803–812. 7 indexed citations
8.
Morahan, Grant, Munish Mehta, Ian James, et al.. (2011). Tests for Genetic Interactions in Type 1 Diabetes. Diabetes. 60(3). 1030–1040. 36 indexed citations
9.
Jellen, Leslie C., Erica L. Unger, Grant Morahan, et al.. (2011). Genetic analysis of iron-deficiency effects on the mouse spleen. Mammalian Genome. 22(9-10). 556–562. 14 indexed citations
10.
Jiang, Fang‐Xu, Munish Mehta, & Grant Morahan. (2010). Quantification of Insulin Gene Expression During Development of Pancreatic Islet Cells. Pancreas. 39(2). 201–208. 12 indexed citations
11.
Morahan, Grant, Munish Mehta, E. McKinnon, & Ian James. (2009). Effect of linkage status of affected sib‐pairs on the search for novel type 1 diabetes susceptibility genes in the HLA complex. Diabetes Obesity and Metabolism. 11(s1). 67–73. 1 indexed citations
12.
Morahan, Grant, et al.. (2008). Systems genetics can provide new insights in to immune regulation and autoimmunity. Journal of Autoimmunity. 31(3). 233–236. 23 indexed citations
13.
Mehta, Munish, et al.. (2004). Endovascular Repair of Aortic Aneurysms in Patients With Renal Insufficiency. Perspectives in Vascular Surgery. 16(1). 15–21. 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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