Danielle J. Padilla
- Complementary and alternative medicine top 0.5%
- Cardiology and Cardiovascular Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Physiology top 10%
- Orthopedics and Sports Medicine top 5%
- Co-authors
- David C. PooleTimothy I. MuschBradley J. BehnkePaul McDonoughK. Sue HagemanYutaka KanoLucila Garcia‐ContrerasAnthony J. Hickey
- Topics
- Cardiovascular and exercise physiology (15 papers)Heart Rate Variability and Autonomic Control (10 papers)Exercise and Physiological Responses (5 papers)
- Cited by
- Complementary and alternative medicinePharmaceutical ScienceOrthopedics and Sports Medicine
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Danielle J. Padilla
26 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Complementary and alternative medicine 631
- Cardiology and Cardiovascular Medicine 510
- Pulmonary and Respiratory Medicine 346
- Physiology 218
- Orthopedics and Sports Medicine 209
Countries citing papers authored by Danielle J. Padilla
This map shows the geographic impact of Danielle J. Padilla'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 Danielle J. Padilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle J. Padilla more than expected).
Fields of papers citing papers by Danielle J. Padilla
This network shows the impact of papers produced by Danielle J. Padilla. 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 Danielle J. Padilla. The network helps show where Danielle J. Padilla may publish in the future.
Co-authorship network of co-authors of Danielle J. Padilla
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle J. Padilla. A scholar is included among the top collaborators of Danielle J. Padilla 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 Danielle J. Padilla. Danielle J. Padilla 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 | 42 | |
| 3 | 178 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 75 | |
| 7 | 7 | |
| 8 | 118 | |
| 9 | 42 | |
| 10 | 35 | |
| 11 | 31 | |
| 12 | 24 | |
| 13 | 194 | |
| 14 | 26 | |
| 15 | 23 | |
| 16 | 62 | |
| 17 | 6 | |
| 18 | 25 | |
| 19 | 154 | |
| 20 | 16 |
About Danielle J. Padilla
Danielle J. Padilla is a scholar working on Complementary and alternative medicine, Equine and Rehabilitation, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (15 papers), Heart Rate Variability and Autonomic Control (10 papers) and Exercise and Physiological Responses (5 papers). The work is most often cited by research in Complementary and alternative medicine (631 citations), Pharmaceutical Science (162 citations) and Orthopedics and Sports Medicine (209 citations). Danielle J. Padilla has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include David C. Poole, Timothy I. Musch, Bradley J. Behnke, Paul McDonough, K. Sue Hageman, Yutaka Kano, Lucila Garcia‐Contreras, Anthony J. Hickey, David A. Edwards and Katharina J. Elbert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Physiology.
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.