Indu Poornima
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Surgery
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Pratik ParikhRichard P. ShannonSiva BhashyamHakki BölükogluYou‐Tang ShenTingcun ZhaoSuzanne B. BrownDavid Lasorda
- Topics
- Cardiac Imaging and Diagnostics (6 papers)Cardiovascular Function and Risk Factors (4 papers)Pregnancy and preeclampsia studies (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismRadiology, Nuclear Medicine and Imaging
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- United StatesJordan
In The Last Decade
Indu Poornima
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Cardiology and Cardiovascular Medicine 646
- Endocrinology, Diabetes and Metabolism 407
- Molecular Biology 368
- Surgery 266
- Radiology, Nuclear Medicine and Imaging 144
Countries citing papers authored by Indu Poornima
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 31 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 39 | |
| 10 | 5 | |
| 11 | 27 | |
| 12 | Acute Myocardial Infarction Associated with Dietary Supplements | 0 |
| 13 | 39 | |
| 14 | 28 | |
| 15 | 254 | |
| 16 | 463 | |
| 17 | 8 | |
| 18 | 50 | |
| 19 | 6 | |
| 20 | 1 |
About Indu Poornima
Indu Poornima is a scholar working on Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (6 papers), Cardiovascular Function and Risk Factors (4 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (646 citations), Endocrinology, Diabetes and Metabolism (407 citations) and Radiology, Nuclear Medicine and Imaging (144 citations). Indu Poornima has collaborated with scholars based in United States and Jordan. Frequent co-authors include Pratik Parikh, Richard P. Shannon, Siva Bhashyam, Hakki Bölükoglu, You‐Tang Shen, Tingcun Zhao, Suzanne B. Brown, David Lasorda, Todd D. Miller and David O. Hodge. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.