Ashim K. Bagchi

1.3k total citations
36 papers, 988 citations indexed

About

Ashim K. Bagchi is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Molecular Biology. According to data from OpenAlex, Ashim K. Bagchi has authored 36 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 10 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in Ashim K. Bagchi's work include Chemotherapy-induced cardiotoxicity and mitigation (8 papers), Vitamin C and Antioxidants Research (5 papers) and Immune Response and Inflammation (5 papers). Ashim K. Bagchi is often cited by papers focused on Chemotherapy-induced cardiotoxicity and mitigation (8 papers), Vitamin C and Antioxidants Research (5 papers) and Immune Response and Inflammation (5 papers). Ashim K. Bagchi collaborates with scholars based in Canada, United States and India. Ashim K. Bagchi's co-authors include Pawan K. Singal, Gauri Akolkar, Davinder S. Jassal, Danielle da Silva Dias, Prathapan Ayyappan, Nathália Bernardes, Anita Sharma, Tushar Patel, Sarita Gupta and Sanjiv Dhingra and has published in prestigious journals such as PLoS ONE, Circulation Research and Scientific Reports.

In The Last Decade

Ashim K. Bagchi

34 papers receiving 974 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashim K. Bagchi Canada 17 340 332 171 135 134 36 988
Danielle A. Guimarães Brazil 23 371 1.1× 330 1.0× 138 0.8× 335 2.5× 102 0.8× 39 1.1k
Gergő Szűcs Hungary 18 222 0.7× 341 1.0× 160 0.9× 188 1.4× 68 0.5× 32 1.0k
Benjamin Lauzier France 19 237 0.7× 343 1.0× 208 1.2× 147 1.1× 148 1.1× 64 949
Zheng Xu China 18 178 0.5× 488 1.5× 98 0.6× 102 0.8× 217 1.6× 35 1.1k
Liangdi Xie China 19 305 0.9× 400 1.2× 141 0.8× 121 0.9× 52 0.4× 112 1.1k
Takashi Obama Japan 21 158 0.5× 429 1.3× 191 1.1× 137 1.0× 289 2.2× 43 1.1k
Erfei Song Hong Kong 19 184 0.5× 339 1.0× 105 0.6× 185 1.4× 109 0.8× 39 974
Hui Lin China 22 405 1.2× 642 1.9× 139 0.8× 81 0.6× 113 0.8× 73 1.4k
G. Palladini Italy 20 185 0.5× 395 1.2× 134 0.8× 159 1.2× 74 0.6× 54 1.1k
Urna Kansakar United States 20 260 0.8× 440 1.3× 157 0.9× 159 1.2× 54 0.4× 53 1.1k

Countries citing papers authored by Ashim K. Bagchi

Since Specialization
Citations

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

Fields of papers citing papers by Ashim K. Bagchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashim K. Bagchi

This figure shows the co-authorship network connecting the top 25 collaborators of Ashim K. Bagchi. A scholar is included among the top collaborators of Ashim K. Bagchi 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 Ashim K. Bagchi. Ashim K. Bagchi 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.
Surendran, Arun, Ashim K. Bagchi, Pawan K. Singal, et al.. (2023). Lipidomic Predictors of Coronary No-Reflow. Metabolites. 13(1). 79–79. 4 indexed citations
3.
Cui, Can, et al.. (2022). NF-κB, A Potential Therapeutic Target in Cardiovascular Diseases. Cardiovascular Drugs and Therapy. 37(3). 571–584. 48 indexed citations
4.
Bagchi, Ashim K., et al.. (2021). Endoplasmic Reticulum Stress Promotes iNOS/NO and Influences Inflammation in the Development of Doxorubicin-Induced Cardiomyopathy. Antioxidants. 10(12). 1897–1897. 24 indexed citations
5.
Bagchi, Ashim K., Gauri Akolkar, Adriane Belló‐Klein, et al.. (2021). Study of ER stress and apoptotic proteins in the heart and tumor exposed to doxorubicin. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1868(7). 119039–119039. 30 indexed citations
6.
Bagchi, Ashim K., et al.. (2020). IL-10 attenuates OxPCs-mediated lipid metabolic responses in ischemia reperfusion injury. Scientific Reports. 10(1). 12120–12120. 21 indexed citations
7.
Bernardes, Nathália, Prathapan Ayyappan, Kátia De Angelis, et al.. (2017). Excessive consumption of fructose causes cardiometabolic dysfunctions through oxidative stress and inflammation. Canadian Journal of Physiology and Pharmacology. 95(10). 1078–1090. 18 indexed citations
8.
Akolkar, Gauri, Ashim K. Bagchi, Prathapan Ayyappan, Davinder S. Jassal, & Pawan K. Singal. (2017). Doxorubicin-induced nitrosative stress is mitigated by vitamin C via the modulation of nitric oxide synthases. American Journal of Physiology-Cell Physiology. 312(4). C418–C427. 42 indexed citations
9.
Bagchi, Ashim K., et al.. (2017). Toll-like receptor 2 dominance over Toll-like receptor 4 in stressful conditions for its detrimental role in the heart. American Journal of Physiology-Heart and Circulatory Physiology. 312(6). H1238–H1247. 23 indexed citations
10.
Majesky, Mark W., Henrick Horita, Allison C. Ostriker, et al.. (2016). Differentiated Smooth Muscle Cells Generate a Subpopulation of Resident Vascular Progenitor Cells in the Adventitia Regulated by Klf4. Circulation Research. 120(2). 296–311. 140 indexed citations
11.
Patel, Tushar, Ashim K. Bagchi, Gauri Akolkar, et al.. (2015). Insulin resistance: an additional risk factor in the pathogenesis of cardiovascular disease in type 2 diabetes. Heart Failure Reviews. 21(1). 11–23. 187 indexed citations
12.
Bagchi, Ashim K., Anita Sharma, Gauri Akolkar, & Pawan K. Singal. (2013). Crosstalk between Toll‐like Receptor 4 and Interleukin 10 in Cardiomyocyte Survival. The FASEB Journal. 27(S1). 2 indexed citations
13.
Bagchi, Ashim K., et al.. (2012). Interleukin-10 activates Toll-like receptor 4 and requires MyD88 for cardiomyocyte survival. Cytokine. 61(1). 304–314. 21 indexed citations
14.
Sharma, Anita, et al.. (2012). Oleic acid mitigates TNF-α-induced oxidative stress in rat cardiomyocytes. Molecular and Cellular Biochemistry. 372(1-2). 75–82. 46 indexed citations
15.
Dhingra, Sanjiv, Ashim K. Bagchi, Ana Lüdke, Anita Sharma, & Pawan K. Singal. (2011). Akt Regulates IL-10 Mediated Suppression of TNFα-Induced Cardiomyocyte Apoptosis by Upregulating Stat3 Phosphorylation. PLoS ONE. 6(9). e25009–e25009. 52 indexed citations
16.
Lüdke, Ana, Anita Sharma, Ashim K. Bagchi, & Pawan K. Singal. (2011). Subcellular basis of vitamin C protection against doxorubicin-induced changes in rat cardiomyocytes. Molecular and Cellular Biochemistry. 360(1-2). 215–224. 32 indexed citations
17.
18.
Bagchi, Ashim K., et al.. (2009). Adaptive immune responses during Shigella dysenteriae type 1 infection: an in vitro stimulation with 57 kDa major antigenic OMP in the presence of anti-CD3 antibody. Molecular and Cellular Biochemistry. 338(1-2). 1–10. 2 indexed citations
19.
Bagchi, Ashim K., et al.. (2005). Cytokine release induced by killed bacteria associated with anti-IFN-γ antibody in infection. Cytokine. 31(2). 87–93. 2 indexed citations
20.
Sinha, Anuradha & Ashim K. Bagchi. (2004). Role of anti-CD3 in modulation of Th1-type immune response in Shigella dysenteriae infection. Journal of Medical Microbiology. 53(11). 1075–1081. 4 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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