Apurva Motivala
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Radiology, Nuclear Medicine and Imaging
- Emergency Medicine
- Molecular Biology
- Co-authors
- Nour-Eddine RhalebHongmei PengTang-Dong LiaoOscar A. CarreteroEdward L. PetersonFadi SaabEva Kline‐RogersDavid Dai
- Topics
- Cardiac Imaging and Diagnostics (5 papers)Acute Myocardial Infarction Research (5 papers)Cardiac electrophysiology and arrhythmias (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEmergency MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Apurva Motivala
17 papers receiving 370 citations
Peers
Comparison fields: 5 of 77
- Cardiology and Cardiovascular Medicine 231
- Surgery 92
- Radiology, Nuclear Medicine and Imaging 90
- Emergency Medicine 43
- Molecular Biology 42
Countries citing papers authored by Apurva Motivala
This map shows the geographic impact of Apurva Motivala'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 Apurva Motivala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apurva Motivala more than expected).
Fields of papers citing papers by Apurva Motivala
This network shows the impact of papers produced by Apurva Motivala. 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 Apurva Motivala. The network helps show where Apurva Motivala may publish in the future.
Co-authorship network of co-authors of Apurva Motivala
This figure shows the co-authorship network connecting the top 25 collaborators of Apurva Motivala. A scholar is included among the top collaborators of Apurva Motivala 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 Apurva Motivala. Apurva Motivala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 29 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 37 | |
| 9 | 27 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 38 | |
| 13 | 19 | |
| 14 | 48 | |
| 15 | 12 | |
| 16 | 14 | |
| 17 | 126 |
About Apurva Motivala
Apurva Motivala is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Endocrinology, having authored 17 papers that have together received 383 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (5 papers), Acute Myocardial Infarction Research (5 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (231 citations), Emergency Medicine (43 citations) and Radiology, Nuclear Medicine and Imaging (90 citations). Apurva Motivala has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Nour-Eddine Rhaleb, Hongmei Peng, Tang-Dong Liao, Oscar A. Carretero, Edward L. Peterson, Fadi Saab, Eva Kline‐Rogers, David Dai, James B. Froehlich and Kim A. Eagle. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Medicine.
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.