Pranay Goel
- Orthopedics and Sports Medicine top 1%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Physiology top 10%
- Mechanics of Materials top 5%
- Co-authors
- Velimir MatkovicB. M. HillberryBard ErmentroutJasminka Z. IlichDario FontanaC. H. ChesnutTomislav JelićMark B. Andon
- Topics
- Bone health and osteoporosis research (9 papers)Diabetes Management and Research (7 papers)Pancreatic function and diabetes (7 papers)
- Cited by
- Orthopedics and Sports MedicineStatistics, Probability and UncertaintyCognitive Neuroscience
- Journals
- Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Pranay Goel
45 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Orthopedics and Sports Medicine 679
- Molecular Biology 426
- Cognitive Neuroscience 413
- Physiology 348
- Mechanics of Materials 318
Countries citing papers authored by Pranay Goel
This map shows the geographic impact of Pranay Goel'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 Pranay Goel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pranay Goel more than expected).
Fields of papers citing papers by Pranay Goel
This network shows the impact of papers produced by Pranay Goel. 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 Pranay Goel. The network helps show where Pranay Goel may publish in the future.
Co-authorship network of co-authors of Pranay Goel
This figure shows the co-authorship network connecting the top 25 collaborators of Pranay Goel. A scholar is included among the top collaborators of Pranay Goel 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 Pranay Goel. Pranay Goel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 134 | |
| 16 | 50 | |
| 17 | 40 | |
| 18 | 318 | |
| 19 | A Prior for Consistent Estimation for The Relevance Vector Machine | 2 |
| 20 | Timing of peak bone mass in Caucasian females and its implication for the prevention of osteoporosis. Inference from a cross-sectional model.breakdown → | 610 |
About Pranay Goel
Pranay Goel is a scholar working on Orthopedics and Sports Medicine, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 56 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (9 papers), Diabetes Management and Research (7 papers) and Pancreatic function and diabetes (7 papers). The work is most often cited by research in Orthopedics and Sports Medicine (679 citations), Statistics, Probability and Uncertainty (306 citations) and Cognitive Neuroscience (413 citations). Pranay Goel has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Velimir Matkovic, B. M. Hillberry, Bard Ermentrout, Jasminka Z. Ilich, Dario Fontana, C. H. Chesnut, Tomislav Jelić, Mark B. Andon, Karen Smith and Robert P. Heaney. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.
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.