Indu Poornima

1.7k total citations
30 papers, 1.2k citations indexed

About

Indu Poornima is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Indu Poornima has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Molecular Biology. Recurrent topics in Indu Poornima's work include Cardiac Imaging and Diagnostics (6 papers), Cardiovascular Function and Risk Factors (4 papers) and Pregnancy and preeclampsia studies (3 papers). Indu Poornima is often cited by papers focused on Cardiac Imaging and Diagnostics (6 papers), Cardiovascular Function and Risk Factors (4 papers) and Pregnancy and preeclampsia studies (3 papers). Indu Poornima collaborates with scholars based in United States and Jordan. Indu Poornima's co-authors include Richard P. Shannon, Pratik Parikh, Siva Bhashyam, Hakki Bölükoglu, You‐Tang Shen, Tingcun Zhao, Suzanne B. Brown, David Lasorda, Timothy F. Christian and Raymond J. Gibbons and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Indu Poornima

23 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Indu Poornima United States 11 646 407 368 266 144 30 1.2k
Toshimitsu Nozaki Japan 14 869 1.3× 336 0.8× 335 0.9× 313 1.2× 152 1.1× 23 1.6k
Mario Siniscalchi Italy 24 924 1.4× 556 1.4× 603 1.6× 274 1.0× 127 0.9× 28 2.0k
Mihály Ruppert Hungary 21 622 1.0× 239 0.6× 360 1.0× 303 1.1× 64 0.4× 72 1.2k
Keisuke Kosugi Japan 20 436 0.7× 685 1.7× 262 0.7× 237 0.9× 72 0.5× 37 1.4k
Minsuk Kim South Korea 18 371 0.6× 466 1.1× 450 1.2× 268 1.0× 45 0.3× 41 1.2k
Masakazu Kohno Japan 22 707 1.1× 200 0.5× 268 0.7× 267 1.0× 137 1.0× 64 1.3k
Mirella Coppo Italy 20 731 1.1× 242 0.6× 318 0.9× 155 0.6× 66 0.5× 47 1.2k
Jong Shin Woo South Korea 17 465 0.7× 228 0.6× 171 0.5× 220 0.8× 127 0.9× 59 934
Bunyen Teng United States 20 457 0.7× 349 0.9× 329 0.9× 389 1.5× 69 0.5× 44 1.3k
Lip Bun Tan United Kingdom 13 1.3k 2.1× 412 1.0× 318 0.9× 397 1.5× 114 0.8× 21 1.8k

Countries citing papers authored by Indu Poornima

Since Specialization
Citations

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

Fields of papers citing papers by Indu Poornima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indu Poornima

This figure shows the co-authorship network connecting the top 25 collaborators of Indu Poornima. A scholar is included among the top collaborators of Indu Poornima 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 Indu Poornima. Indu Poornima 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.
Poornima, Indu, et al.. (2023). MINOCA PRESENTING AS SYNCOPE: AN ELUSIVE CASE DIAGNOSED ON MULTIMODAL IMAGING. Journal of the American College of Cardiology. 81(8). 3324–3324.
2.
Kyvernitakis, Andreas, et al.. (2023). Echocardiographic Differences in Women Across Subtypes of Hypertensive Disorders of Pregnancy. JACC Advances. 3(1). 100725–100725. 4 indexed citations
3.
Poornima, Indu, et al.. (2022). Hyperlipidemia and risk for preclampsia. Journal of clinical lipidology. 16(3). 253–260. 31 indexed citations
4.
Poornima, Indu, Andreas Kyvernitakis, Ahmad Al‐Abdouh, et al.. (2022). Ethnic and Racial Disparities in Resource Utilization and In-hospital Outcomes Among Those Admitted for Atrial Fibrillation: A National Analysis. Current Problems in Cardiology. 47(12). 101365–101365. 3 indexed citations
5.
Poornima, Indu, et al.. (2020). Cardiac Sarcoidosis Causing Ventricular Tachycardia After Myocardial Infarction. SHILAP Revista de lepidopterología. 2(7). 1056–1061.
6.
Bittman, Barry, Indu Poornima, Michael Smith, & R. Eric Heidel. (2020). Gospel Music: A Catalyst for Retention, Engagement, and Positive Health Outcomes for African Americans in a Cardiovascular Prevention and Treatment Program.. PubMed. 34(1). 8–16. 8 indexed citations
7.
Chaturvedi, Abhishek, et al.. (2019). IBRUTINIB AND POLYMORPHIC VENTRICULAR TACHYCARDIA: A POTENTIAL ASSOCIATION?. Journal of the American College of Cardiology. 73(9). 2927–2927. 2 indexed citations
8.
Tang, Amy, et al.. (2018). A CASE-CONTROL STUDY OF PREECLAMPSIA AND THE FUTURE DEVELOPMENT OF CARDIOVASCULAR RISK FACTORS. Journal of the American College of Cardiology. 71(11). A1861–A1861.
9.
Poornima, Indu, Kelly J. Shields, Lewis H. Kuller, et al.. (2018). Associations of osteoprotegerin with coronary artery calcification among women with systemic lupus erythematosus and healthy controls. Lupus. 27(6). 880–889. 5 indexed citations
10.
Russell, Raymond R., J. Steven Alexander, Diwakar Jain, et al.. (2016). The role and clinical effectiveness of multimodality imaging in the management of cardiac complications of cancer and cancer therapy. Journal of Nuclear Cardiology. 23(4). 856–884. 39 indexed citations
11.
Raina, Amresh, et al.. (2015). Rapidly progressive cardiac sarcoidosis: Initial presentation with sinus node dysfunction and right bundle branch block. HeartRhythm Case Reports. 2(1). 57–59. 5 indexed citations
12.
Lasorda, David, et al.. (2014). Acute Myocardial Infarction Associated with Dietary Supplements.
13.
Lasorda, David, et al.. (2014). Acute Myocardial Infarction Associated with Dietary Supplements Containing 1,3-Dimethylamylamine and Citrus aurantium. Texas Heart Institute Journal. 41(1). 70–72. 27 indexed citations
14.
Lasorda, David, et al.. (2009). Anatomical Factors Triggering Platypnea‐Orthodeoxia in Adults. Clinical Cardiology. 32(11). E55–7. 39 indexed citations
15.
16.
Zhao, Tingcun, Pratik Parikh, Siva Bhashyam, et al.. (2006). Direct Effects of Glucagon-Like Peptide-1 on Myocardial Contractility and Glucose Uptake in Normal and Postischemic Isolated Rat Hearts. Journal of Pharmacology and Experimental Therapeutics. 317(3). 1106–1113. 254 indexed citations
17.
Poornima, Indu, Pratik Parikh, & Richard P. Shannon. (2006). Diabetic Cardiomyopathy. Circulation Research. 98(5). 596–605. 463 indexed citations
18.
Lapeyre, André C., Indu Poornima, Todd D. Miller, et al.. (2005). The prognostic value of pharmacologic stress myocardial perfusion imaging in patients with permanent pacemakers. Journal of Nuclear Cardiology. 12(1). 37–42. 8 indexed citations
19.
Poornima, Indu, Todd D. Miller, Timothy F. Christian, et al.. (2004). Utility of myocardial perfusion imaging in patients with low-risk treadmill scores. Journal of the American College of Cardiology. 43(2). 194–199. 50 indexed citations
20.
Lapeyre, André C., Indu Poornima, Todd D. Miller, et al.. (2004). Prognostic value of exercise stress myocardial perfusion imaging in patients with permanent pacemakers. The American Journal of Cardiology. 94(6). 811–814. 6 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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