Subhash K. Das

1.9k total citations
27 papers, 1.4k citations indexed

About

Subhash K. Das is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Subhash K. Das has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 8 papers in Surgery and 8 papers in Molecular Biology. Recurrent topics in Subhash K. Das's work include Renin-Angiotensin System Studies (6 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers) and Nitric Oxide and Endothelin Effects (4 papers). Subhash K. Das is often cited by papers focused on Renin-Angiotensin System Studies (6 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers) and Nitric Oxide and Endothelin Effects (4 papers). Subhash K. Das collaborates with scholars based in Canada, United States and Austria. Subhash K. Das's co-authors include Gavin Y. Oudit, Vaibhav B. Patel, Ratnadeep Basu, Brent A. McLean, Zamaneh Kassiri, Zamaneh Kassiri, Wang Wang, Gary D. Lopaschuk, Jun Mori and Fan Dong and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Subhash K. Das

27 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
Subhash K. Das Canada 19 591 412 311 226 189 27 1.4k
Talin Ebrahimian Canada 17 601 1.0× 608 1.5× 260 0.8× 87 0.4× 234 1.2× 31 1.5k
Christiane Viedt Germany 19 367 0.6× 567 1.4× 248 0.8× 98 0.4× 317 1.7× 22 1.9k
Adrián Recinos United States 16 427 0.7× 499 1.2× 252 0.8× 88 0.4× 166 0.9× 20 1.7k
Paul C. Armstrong United Kingdom 23 543 0.9× 234 0.6× 219 0.7× 220 1.0× 58 0.3× 50 1.4k
Daniela Macconi Italy 26 344 0.6× 638 1.5× 213 0.7× 95 0.4× 243 1.3× 47 2.2k
Fung L. Chow Canada 8 528 0.9× 298 0.7× 102 0.3× 148 0.7× 245 1.3× 8 946
Saula de Kreutzenberg Italy 17 350 0.6× 764 1.9× 267 0.9× 121 0.5× 519 2.7× 23 1.7k
Julie Favre France 19 355 0.6× 514 1.2× 232 0.7× 65 0.3× 372 2.0× 39 1.4k
Kazuyuki Hida Japan 20 336 0.6× 516 1.3× 183 0.6× 175 0.8× 277 1.5× 37 1.8k
Rozenn Quarck Belgium 26 604 1.0× 702 1.7× 424 1.4× 113 0.5× 173 0.9× 69 2.5k

Countries citing papers authored by Subhash K. Das

Since Specialization
Citations

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

Fields of papers citing papers by Subhash K. Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhash K. Das

This figure shows the co-authorship network connecting the top 25 collaborators of Subhash K. Das. A scholar is included among the top collaborators of Subhash K. Das 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 Subhash K. Das. Subhash K. Das 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.
Maayah, Zaid H., Mourad Ferdaoussi, Aristeidis E. Boukouris, et al.. (2023). Endothelin Receptor Blocker Reverses Breast Cancer–Induced Cardiac Remodeling. JACC CardioOncology. 5(5). 686–700. 5 indexed citations
2.
Gopal, Keshav, Nikole J. Byrne, Bruno Saleme, et al.. (2022). TRIM35-mediated degradation of nuclear PKM2 destabilizes GATA4/6 and induces P53 in cardiomyocytes to promote heart failure. Science Translational Medicine. 14(669). eabm3565–eabm3565. 18 indexed citations
3.
Boukouris, Aristeidis E., Yongneng Zhang, Bruno Saleme, et al.. (2022). A reversible metabolic stress-sensitive regulation of CRMP2A orchestrates EMT/stemness and increases metastatic potential in cancer. Cell Reports. 38(11). 110511–110511. 8 indexed citations
4.
5.
Das, Subhash K., et al.. (2020). An Unusual Etiology of Cerebellar Ataxia. SHILAP Revista de lepidopterología. 7. 2329048X2090775–2329048X2090775. 6 indexed citations
6.
Park, Jin‐Kyu, Christopher W. Anderson, Lorenzo R. Sewanan, et al.. (2019). Modular design of a tissue engineered pulsatile conduit using human induced pluripotent stem cell-derived cardiomyocytes. Acta Biomaterialia. 102. 220–230. 24 indexed citations
7.
Zhabyeyev, Pavel, Subhash K. Das, Ratnadeep Basu, et al.. (2018). TIMP3 deficiency exacerbates iron overload-mediated cardiomyopathy and liver disease. American Journal of Physiology-Heart and Circulatory Physiology. 314(5). H978–H990. 24 indexed citations
8.
Das, Subhash K., Vaibhav B. Patel, Ratnadeep Basu, et al.. (2017). Females Are Protected From Iron‐Overload Cardiomyopathy Independent of Iron Metabolism: Key Role of Oxidative Stress. Journal of the American Heart Association. 6(1). 39 indexed citations
9.
Patel, Vaibhav B., Jun Mori, Brent A. McLean, et al.. (2016). ACE2 Deficiency Worsens Epicardial Adipose Tissue Inflammation and Cardiac Dysfunction in Response to Diet-Induced Obesity. PMC. 3 indexed citations
10.
Lian, Jihong, En‐Hui Wei, Jody Groenendyk, et al.. (2016). Ces3/TGH Deficiency Attenuates Steatohepatitis. Scientific Reports. 6(1). 25747–25747. 36 indexed citations
11.
Patel, Vaibhav B., Abhijit Takawale, Tharmarajan Ramprasath, et al.. (2015). Antagonism of angiotensin 1-7 prevents the therapeutic effects of recombinant human ACE2. PMC. 2 indexed citations
12.
Das, Subhash K., Wang Wang, Pavel Zhabyeyev, et al.. (2015). Iron-overload injury and cardiomyopathy in acquired and genetic models is attenuated by resveratrol therapy. Scientific Reports. 5(1). 18132–18132. 94 indexed citations
13.
Patel, Vaibhav B., Abhijit Takawale, Tharmarajan Ramprasath, et al.. (2015). Antagonism of angiotensin 1–7 prevents the therapeutic effects of recombinant human ACE2. Journal of Molecular Medicine. 93(9). 1003–1013. 29 indexed citations
14.
Famulski, Konrad S., Ji‐Won Lee, Subhash K. Das, et al.. (2013). TIMP2 and TIMP3 have divergent roles in early renal tubulointerstitial injury. Kidney International. 85(1). 82–93. 49 indexed citations
15.
Wang, Wang, Shaun M. K. McKinnie, Vaibhav B. Patel, et al.. (2013). Loss of Apelin Exacerbates Myocardial Infarction Adverse Remodeling and Ischemia‐reperfusion Injury: Therapeutic Potential of Synthetic Apelin Analogues. Journal of the American Heart Association. 2(4). e000249–e000249. 180 indexed citations
16.
Patel, Vaibhav B., Sreedhar Bodiga, Ratnadeep Basu, et al.. (2012). Loss of Angiotensin-Converting Enzyme-2 Exacerbates Diabetic Cardiovascular Complications and Leads to Systolic and Vascular Dysfunction. Circulation Research. 110(10). 1322–1335. 127 indexed citations
17.
Basu, Ratnadeep, Fan Dong, Vijay Kandalam, et al.. (2012). Loss of Timp3 Gene Leads to Abdominal Aortic Aneurysm Formation in Response to Angiotensin II. Journal of Biological Chemistry. 287(53). 44083–44096. 62 indexed citations
18.
19.
Basu, Ratnadeep, Ji‐Won Lee, Zuocheng Wang, et al.. (2012). Loss of TIMP3 selectively exacerbates diabetic nephropathy. American Journal of Physiology-Renal Physiology. 303(9). F1341–F1352. 43 indexed citations
20.
Wang, Wang, Sreedhar Bodiga, Subhash K. Das, et al.. (2011). Role of ACE2 in diastolic and systolic heart failure. Heart Failure Reviews. 17(4-5). 683–691. 52 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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