Balraj Mittal

4.5k total citations
143 papers, 3.6k citations indexed

About

Balraj Mittal is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Balraj Mittal has authored 143 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 37 papers in Surgery and 28 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Balraj Mittal's work include Muscle Physiology and Disorders (26 papers), Cardiomyopathy and Myosin Studies (24 papers) and Neurogenetic and Muscular Disorders Research (13 papers). Balraj Mittal is often cited by papers focused on Muscle Physiology and Disorders (26 papers), Cardiomyopathy and Myosin Studies (24 papers) and Neurogenetic and Muscular Disorders Research (13 papers). Balraj Mittal collaborates with scholars based in India, United States and Switzerland. Balraj Mittal's co-authors include Joseph W. Sanger, Jean M. Sanger, J M Sanger, Sunil Pradhan, Uday C. Ghoshal, Mark Pochapin, Bhagelu R. Achyut, Anvesha Srivastava, Rama Devi Mittal and Jayantee Kalita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Balraj Mittal

142 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Balraj Mittal India 36 1.7k 922 594 587 357 143 3.6k
Toshiyuki Yamada Japan 31 2.2k 1.3× 1.3k 1.4× 401 0.7× 206 0.4× 435 1.2× 138 4.6k
Robert I. Handin United States 45 1.6k 0.9× 734 0.8× 767 1.3× 1.0k 1.8× 443 1.2× 93 6.0k
Martin P. Playford United States 32 1.5k 0.9× 388 0.4× 422 0.7× 409 0.7× 232 0.6× 102 3.8k
Pilar Alcaide United States 37 1.6k 0.9× 1.3k 1.4× 789 1.3× 302 0.5× 156 0.4× 78 5.0k
Yuhui Xu China 21 1.5k 0.9× 1.1k 1.2× 223 0.4× 502 0.9× 132 0.4× 44 3.0k
Richard Bucala United States 57 1.3k 0.8× 580 0.6× 783 1.3× 220 0.4× 231 0.6× 157 12.6k
Rocío Ortiz‐López Mexico 27 1.8k 1.1× 1.3k 1.4× 316 0.5× 171 0.3× 409 1.1× 156 3.8k
A.E. Bolton United Kingdom 31 1.8k 1.0× 314 0.3× 388 0.7× 362 0.6× 500 1.4× 87 6.1k
Timo Paavonen Finland 38 1.3k 0.8× 632 0.7× 1.5k 2.5× 166 0.3× 285 0.8× 200 5.5k
Ang Li United States 36 1.1k 0.6× 477 0.5× 457 0.8× 463 0.8× 179 0.5× 195 4.6k

Countries citing papers authored by Balraj Mittal

Since Specialization
Citations

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

Fields of papers citing papers by Balraj Mittal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Balraj Mittal

This figure shows the co-authorship network connecting the top 25 collaborators of Balraj Mittal. A scholar is included among the top collaborators of Balraj Mittal 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 Balraj Mittal. Balraj Mittal 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.
2.
Bansal, Cherry, et al.. (2016). ecancermedicalscience. ecancermedicalscience. 8. 473–473. 22 indexed citations
3.
Ghoshal, Uday C., Sunil Kumar, Asha Misra, & Balraj Mittal. (2013). Lactose malabsorption diagnosed by 50‐g dose is inferior to assess clinical intolerance and to predict response to milk withdrawal than 25‐g dose in an endemic area. Journal of Gastroenterology and Hepatology. 28(9). 1462–1468. 22 indexed citations
4.
Singh, Arun Kumar, et al.. (2012). Association of Resistin with Metabolic Syndrome in Indian Subjects. Metabolic Syndrome and Related Disorders. 10(4). 286–291. 18 indexed citations
5.
Ghosh, Jayashri, Sunil Pradhan, & Balraj Mittal. (2011). Role of Dopaminergic Gene Polymorphisms (DBH 19 bp Indel and DRD2Nco I) in Genetic Susceptibility to Migraine in North Indian Population: Table 1. Pain Medicine. 12(7). 1109–1111. 17 indexed citations
6.
Sanger, Jean M., Jushuo Wang, Prokash K. Chowrashi, et al.. (2010). Arg/Abl‐binding protein, a Z‐body and Z‐band protein, binds sarcomeric, costameric, and signaling molecules. Cytoskeleton. 67(12). 808–823. 22 indexed citations
7.
Achyut, Bhagelu R., Uday C. Ghoshal, Nikhil Moorchung, & Balraj Mittal. (2009). Transforming Growth Factor-B1 and Matrix Metalloproteinase-7 Promoter Variants Induce Risk for Helicobacter pylori –Associated Gastric Precancerous Lesions. DNA and Cell Biology. 28(6). 295–301. 14 indexed citations
8.
Lakhan, Ram, Ritu Kumari, U. K. Misra, et al.. (2009). Differential role of sodium channels SCN1A and SCN2A gene polymorphisms with epilepsy and multiple drug resistance in the north Indian population. British Journal of Clinical Pharmacology. 68(2). 214–220. 68 indexed citations
9.
Upadhyay, Rohit, Meenu Jain, Shaleen Kumar, Uday C. Ghoshal, & Balraj Mittal. (2008). Potential influence of interleukin-1 haplotype IL-1β-511*T-IL-1RN*1 in conferring low risk to middle third location of esophageal cancer: A case–control study. Human Immunology. 69(3). 179–186. 18 indexed citations
10.
Chaturvedi, Lakshmi S., et al.. (2003). De novo mutations in sporadic deletional Duchenne muscular dystrophy (DMD) cases. Experimental & Molecular Medicine. 35(2). 113–117. 20 indexed citations
11.
Huang, Lily, et al.. (2002). Host focal adhesion protein domains that bind to the translocated intimin receptor (Tir) of enteropathogenic Escherichia coli (EPEC). Cell Motility and the Cytoskeleton. 52(4). 255–265. 26 indexed citations
12.
Singh, Vijender, et al.. (2002). Postrenal transplant erythrocytosis: risk factors and effectiveness of angiotensin receptor antagonists. Transplantation Proceedings. 34(8). 3191–3192. 3 indexed citations
13.
14.
Ayoob, Joseph C., et al.. (2000). Targeting of cardiac muscle titin fragments to the Z-bands and dense bodies of living muscle and non-muscle cells. Cell Motility and the Cytoskeleton. 45(1). 67–82. 40 indexed citations
15.
Turnacioglu, Kenan K., et al.. (1996). Partial characterization of zeugmatin indicates that it is part of the Z-band region of titin. Cell Motility and the Cytoskeleton. 34(2). 108–121. 37 indexed citations
16.
Sanger, Jean M., Jean M. Sanger, Jeffrey S. Dome, et al.. (1994). Occurrence of fibers and their association with talin in the cleavage furrows of PtK2 cells. Cell Motility and the Cytoskeleton. 27(1). 26–40. 36 indexed citations
17.
Mittal, Balraj, et al.. (1992). Expression of desmin cDNA in PtK2 cells results in assembly of desmin filaments from multiple sites throughout the cytoplasm. Cell Motility and the Cytoskeleton. 23(3). 188–200. 6 indexed citations
18.
Sanger, Jean M., et al.. (1989). Dynamics of the endoplasmic reticulum in living non‐muscle and muscle cells. Cell Motility and the Cytoskeleton. 13(4). 301–319. 42 indexed citations
19.
Sanger, Jean M., Jean M. Sanger, Balraj Mittal, et al.. (1989). Analysis of cell division using fluorescently labeled actin and myosin in living PtK2 cells. Cell Motility and the Cytoskeleton. 14(2). 201–219. 98 indexed citations
20.
Glascott, Peter A., et al.. (1987). Stress fiber reformation after ATP depletion. Cell Motility and the Cytoskeleton. 8(2). 118–129. 21 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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