Vishram Kedar

1.6k total citations
16 papers, 1.4k citations indexed

About

Vishram Kedar is a scholar working on Molecular Biology, Immunology and Allergy and Cellular and Molecular Neuroscience. According to data from OpenAlex, Vishram Kedar has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Immunology and Allergy and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Vishram Kedar's work include Cell Adhesion Molecules Research (5 papers), Signaling Pathways in Disease (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). Vishram Kedar is often cited by papers focused on Cell Adhesion Molecules Research (5 papers), Signaling Pathways in Disease (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). Vishram Kedar collaborates with scholars based in United States, Brazil and Australia. Vishram Kedar's co-authors include Cam Patterson, Holly McDonough, Ranjana Arya, Huihua Li, Chunlian Zhang, Da‐Zhi Wang, Howard A. Rockman, Hui‐Hua Li, Bentley R. Midkiff and Patricia F. Maness and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Vishram Kedar

15 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vishram Kedar United States 12 1.1k 313 255 204 185 16 1.4k
Judy U. Earley United States 27 1.4k 1.3× 415 1.3× 254 1.0× 143 0.7× 96 0.5× 38 1.9k
Chie Matsuda Japan 18 1.5k 1.3× 322 1.0× 610 2.4× 228 1.1× 215 1.2× 31 1.9k
Haig Aghajanian United States 20 983 0.9× 218 0.7× 271 1.1× 129 0.6× 97 0.5× 27 1.6k
Jaime Meléndez Chile 16 734 0.6× 387 1.2× 278 1.1× 90 0.4× 50 0.3× 25 1.3k
Muriel Vernet France 15 980 0.9× 147 0.5× 407 1.6× 138 0.7× 66 0.4× 20 1.4k
Dimple Bansal United States 11 1.6k 1.4× 409 1.3× 395 1.5× 206 1.0× 72 0.4× 15 1.8k
Meagan J. McGrath Australia 19 765 0.7× 335 1.1× 210 0.8× 74 0.4× 128 0.7× 27 1.1k
Jonathan T. Lu United States 17 1.3k 1.2× 695 2.2× 111 0.4× 224 1.1× 223 1.2× 25 1.7k
Karim Hnia France 21 1.0k 0.9× 248 0.8× 564 2.2× 201 1.0× 72 0.4× 37 1.4k
Jesús Garcı́a United States 17 611 0.5× 236 0.8× 110 0.4× 229 1.1× 158 0.9× 29 963

Countries citing papers authored by Vishram Kedar

Since Specialization
Citations

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

Fields of papers citing papers by Vishram Kedar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vishram Kedar

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

All Works

16 of 16 papers shown
1.
Midkiff, Bentley R., Anitha K. Panicker, Patricia F. Maness, et al.. (2021). The Neural Cell Adhesion Molecule L1 Potentiates Integrin-Dependent Cell Migration to Extracellular Matrix Proteins. UNC Libraries.
2.
Kedar, Vishram, Beth E. Zucconi, Gerald M. Wilson, & Perry J. Blackshear. (2011). Direct Binding of Specific AUF1 Isoforms to Tandem Zinc Finger Domains of Tristetraprolin (TTP) Family Proteins. Journal of Biological Chemistry. 287(8). 5459–5471. 31 indexed citations
3.
Kedar, Vishram, Martyn K. Darby, Jason G. Williams, & Perry J. Blackshear. (2010). Phosphorylation of Human Tristetraprolin in Response to Its Interaction with the Cbl Interacting Protein CIN85. PLoS ONE. 5(3). e9588–e9588. 22 indexed citations
4.
Li, Hui‐Hua, Vishram Kedar, Chunlian Zhang, et al.. (2004). Atrogin-1/muscle atrophy F-box inhibits calcineurin-dependent cardiac hypertrophy by participating in an SCF ubiquitin ligase complex. Journal of Clinical Investigation. 114(8). 1058–1071. 309 indexed citations
5.
Aitsebaomo, Julius, Krister Wennerberg, Channing J. Der, et al.. (2004). p68RacGAP Is a Novel GTPase-activating Protein That Interacts with Vascular Endothelial Zinc Finger-1 and Modulates Endothelial Cell Capillary Formation. Journal of Biological Chemistry. 279(17). 17963–17972. 25 indexed citations
6.
Li, Huihua, Vishram Kedar, Chunlian Zhang, et al.. (2004). Atrogin-1/muscle atrophy F-box inhibits calcineurin-dependent cardiac hypertrophy by participating in an SCF ubiquitin ligase complex. Journal of Clinical Investigation. 114(8). 1058–1071. 321 indexed citations
7.
Schmid, Ralf S., Bentley R. Midkiff, Vishram Kedar, & Patricia F. Maness. (2004). Adhesion molecule L1 stimulates neuronal migration through Vav2-Pak1 signaling.. PubMed. 15(18). 2791–4. 27 indexed citations
8.
Kedar, Vishram, Holly McDonough, Ranjana Arya, et al.. (2004). Muscle-specific RING finger 1 is a bona fide ubiquitin ligase that degrades cardiac troponin I. Proceedings of the National Academy of Sciences. 101(52). 18135–18140. 286 indexed citations
9.
Arya, Ranjana, Vishram Kedar, Jae Ryoung Hwang, et al.. (2004). Muscle ring finger protein-1 inhibits PKCε activation and prevents cardiomyocyte hypertrophy. The Journal of Cell Biology. 167(6). 1147–1159. 101 indexed citations
10.
Jenkins, Cheryl, Vishram Kedar, & John A. Fuerst. (2002). Gene discovery within the planctomycete division of the domain Bacteria using sequence tags from genomic DNA libraries. Genome biology. 3(6). RESEARCH0031–RESEARCH0031. 24 indexed citations
11.
Thelen, Karsten, Vishram Kedar, Anitha K. Panicker, et al.. (2002). The Neural Cell Adhesion Molecule L1 Potentiates Integrin-Dependent Cell Migration to Extracellular Matrix Proteins. Journal of Neuroscience. 22(12). 4918–4931. 136 indexed citations
12.
Kedar, Vishram, et al.. (1997). Regulatory sequences for the transcription of the laminin B2 gene in astrocytes. Molecular Brain Research. 47(1-2). 87–98. 7 indexed citations
13.
Kedar, Vishram, Linda Fletcher, & Lawrie W. Powell. (1996). Molecular Cloning of a Novel mRNA Highly Expressed in Haemochromatotic Human Liver and Proliferating Cells. Biochemical and Biophysical Research Communications. 226(2). 461–466. 3 indexed citations
14.
Maheshwari, Radha K., Vishram Kedar, Helen Coon, & Deepa Bhartiya. (1991). Regulation of Laminin Expression by Interferon. Journal of Interferon Research. 11(2). 75–80. 8 indexed citations
15.
Kedar, Vishram, et al.. (1991). Thrombin stimulation of synthesis and secretion of fibronectin by human A549 epithelial cells and mouse LB fibroblasts.. Journal of Histochemistry & Cytochemistry. 39(4). 413–423. 21 indexed citations
16.
Silverman, Robert H., et al.. (1988). Purification and analysis of murine 2-5A-dependent RNase.. Journal of Biological Chemistry. 263(15). 7336–7341. 73 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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