Sunil K. Verma

653 total citations
18 papers, 481 citations indexed

About

Sunil K. Verma is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Sunil K. Verma has authored 18 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Genetics. Recurrent topics in Sunil K. Verma's work include RNA Research and Splicing (8 papers), RNA modifications and cancer (7 papers) and Biochemical and Molecular Research (4 papers). Sunil K. Verma is often cited by papers focused on RNA Research and Splicing (8 papers), RNA modifications and cancer (7 papers) and Biochemical and Molecular Research (4 papers). Sunil K. Verma collaborates with scholars based in United States, India and Taiwan. Sunil K. Verma's co-authors include Balaji Prakash, Vinay Kumar Nandicoori, Muge N. Kuyumcu‐Martinez, Shazia Khan, Curtis A. Nutter, Vaibhav Deshmukh, G Yeo, Elizabeth Jaworski, Mathew Sajish and Sissy Kalayil and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Sunil K. Verma

18 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunil K. Verma United States 12 353 76 74 64 50 18 481
Vidya P. Kumar United States 17 269 0.8× 41 0.5× 48 0.6× 36 0.6× 14 0.3× 47 571
M. E. Marongiu Italy 13 156 0.4× 152 2.0× 70 0.9× 12 0.2× 38 0.8× 36 453
I Cerutti France 13 201 0.6× 43 0.6× 74 1.0× 54 0.8× 13 0.3× 36 476
R. Toro United States 15 393 1.1× 39 0.5× 39 0.5× 56 0.9× 24 0.5× 22 578
Xiling Yuan United States 10 343 1.0× 105 1.4× 135 1.8× 33 0.5× 12 0.2× 10 520
Umesh Hanumegowda United States 12 164 0.5× 48 0.6× 36 0.5× 30 0.5× 7 0.1× 22 394
Venkita Subbulakshmi India 8 248 0.7× 139 1.8× 87 1.2× 18 0.3× 13 0.3× 9 449
Tomoaki Komai Japan 10 235 0.7× 60 0.8× 95 1.3× 37 0.6× 17 0.3× 14 492
Jie Qing China 16 256 0.7× 125 1.6× 113 1.5× 17 0.3× 139 2.8× 28 604
R. Hexnerova Czechia 11 264 0.7× 19 0.3× 20 0.3× 38 0.6× 23 0.5× 13 347

Countries citing papers authored by Sunil K. Verma

Since Specialization
Citations

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

Fields of papers citing papers by Sunil K. Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil K. Verma. 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 Sunil K. Verma. The network helps show where Sunil K. Verma may publish in the future.

Co-authorship network of co-authors of Sunil K. Verma

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

All Works

18 of 18 papers shown
1.
Verma, Sunil K. & Muge N. Kuyumcu‐Martinez. (2024). RNA binding proteins in cardiovascular development and disease. Current topics in developmental biology. 156. 51–119. 3 indexed citations
2.
Abdelrahman, Doaa R., Sunil K. Verma, Andrew J. Murton, et al.. (2023). Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling. Communications Chemistry. 6(1). 72–72. 7 indexed citations
3.
Abdelrahman, Doaa R., Sunil K. Verma, Andrew J. Murton, et al.. (2023). A large-scale LC-MS dataset of murine liver proteome from time course of heavy water metabolic labeling. Scientific Data. 10(1). 635–635. 7 indexed citations
4.
Verma, Sunil K., Vaibhav Deshmukh, Shu Meng, et al.. (2022). RBFOX2 is required for establishing RNA regulatory networks essential for heart development. Nucleic Acids Research. 50(4). 2270–2286. 26 indexed citations
5.
Cao, Jun, Sunil K. Verma, Elizabeth Jaworski, et al.. (2021). RBFOX2 is critical for maintaining alternative polyadenylation patterns and mitochondrial health in rat myoblasts. Cell Reports. 37(5). 109910–109910. 21 indexed citations
6.
Cao, Jun, Sunil K. Verma, Elizabeth Jaworski, et al.. (2021). RBFOX2 is Critical for Maintaining Alternative Polyadenylation Patterns and Mitochondrial Health in Rat Myoblasts. SSRN Electronic Journal. 2 indexed citations
7.
Verma, Sunil K., et al.. (2020). A novel nucleic acid extraction method from aromatic herbs and dried herbal powders using cow skim milk. Scientific Reports. 10(1). 11513–11513. 5 indexed citations
8.
Cao, Jun, Kempaiah Rayavara, Curtis A. Nutter, et al.. (2019). Abstract 321: RBFOX2 is critical for maintaining alternative polyadenylation patterns in cardiomyoblasts. Circulation Research. 125(Suppl_1). 1 indexed citations
9.
Nutter, Curtis A., et al.. (2017). Developmentally regulated alternative splicing is perturbed in type 1 diabetic skeletal muscle. Muscle & Nerve. 56(4). 744–749. 14 indexed citations
10.
Chattopadhyay, Abhijnan, Decha Pinkaew, Hung Q. Doan, et al.. (2016). Fortilin potentiates the peroxidase activity of Peroxiredoxin-1 and protects against alcohol-induced liver damage in mice. Scientific Reports. 6(1). 18701–18701. 29 indexed citations
11.
Verma, Sunil K., Vaibhav Deshmukh, Curtis A. Nutter, et al.. (2016). Rbfox2 function in RNA metabolism is impaired in hypoplastic left heart syndrome patient hearts. Scientific Reports. 6(1). 30896–30896. 44 indexed citations
12.
Nutter, Curtis A., Elizabeth Jaworski, Sunil K. Verma, et al.. (2016). Dysregulation of RBFOX2 Is an Early Event in Cardiac Pathogenesis of Diabetes. Cell Reports. 15(10). 2200–2213. 64 indexed citations
13.
Verma, Sunil K., Vaibhav Deshmukh, Patrick Liu, et al.. (2013). Reactivation of Fetal Splicing Programs in Diabetic Hearts Is Mediated by Protein Kinase C Signaling. Journal of Biological Chemistry. 288(49). 35372–35386. 51 indexed citations
14.
Jagtap, Pravin Kumar Ankush, et al.. (2013). Crystal Structures Identify an Atypical Two-Metal-Ion Mechanism for Uridyltransfer in GlmU: Its Significance to Sugar Nucleotidyl Transferases. Journal of Molecular Biology. 425(10). 1745–1759. 27 indexed citations
15.
Sajish, Mathew, Sissy Kalayil, Sunil K. Verma, Vinay Kumar Nandicoori, & Balaji Prakash. (2009). The Significance of EXDD and RXKD Motif Conservation in Rel Proteins. Journal of Biological Chemistry. 284(14). 9115–9123. 36 indexed citations
16.
Verma, Sunil K., et al.. (2009). Structure ofN-acetylglucosamine-1-phosphate uridyltransferase (GlmU) fromMycobacterium tuberculosisin a cubic space group. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 65(5). 435–439. 17 indexed citations
17.
Das, Sudipta Sekhar, Rajendra Chaudhary, Sunil K. Verma, Shashank Kumar Ojha, & Dheeraj Khetan. (2009). Pre- and post- donation haematological values in healthy donors undergoing plateletpheresis with five different systems.. PubMed. 7(3). 188–92. 30 indexed citations
18.
Verma, Sunil K., et al.. (2008). PknB-Mediated Phosphorylation of a Novel Substrate, N-Acetylglucosamine-1-Phosphate Uridyltransferase, Modulates Its Acetyltransferase Activity. Journal of Molecular Biology. 386(2). 451–464. 97 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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