Khushbu Shah
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Experimental and Cognitive Psychology
- Complementary and alternative medicine top 10%
- Anesthesiology and Pain Medicine top 10%
- Co-authors
- Paul M. LehrerYingting ZhangRobert HusebyJean Daniel EloyBrian M. RadvanskyMichael ToscaniJohn L. ColaizziJoseph A. Barone
- Topics
- Music Therapy and Health (2 papers)Heart Rate Variability and Autonomic Control (2 papers)Pharmaceutical industry and healthcare (1 paper)
- Cited by
- Cardiology and Cardiovascular MedicineAnesthesiology and Pain MedicineComplementary and alternative medicine
- Journals
- Behaviour Research and TherapyBioMed Research InternationalApplied Psychophysiology and Biofeedback
- Partner nations
- United StatesGrenadaIndia
In The Last Decade
Khushbu Shah
6 papers receiving 370 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Cardiology and Cardiovascular Medicine 214
- Surgery 76
- Experimental and Cognitive Psychology 60
- Complementary and alternative medicine 58
- Anesthesiology and Pain Medicine 51
Countries citing papers authored by Khushbu Shah
This map shows the geographic impact of Khushbu Shah'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 Khushbu Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khushbu Shah more than expected).
Fields of papers citing papers by Khushbu Shah
This network shows the impact of papers produced by Khushbu Shah. 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 Khushbu Shah. The network helps show where Khushbu Shah may publish in the future.
Co-authorship network of co-authors of Khushbu Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Khushbu Shah. A scholar is included among the top collaborators of Khushbu Shah 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 Khushbu Shah. Khushbu Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | Heart Rate Variability Biofeedback Improves Emotional and Physical Health and Performance: A Systematic Review and Meta Analysisbreakdown → | 251 |
| 4 | 37 | |
| 5 | 2 | |
| 6 | 85 |
About Khushbu Shah
Khushbu Shah is a scholar working on Conservation, Developmental Neuroscience and Gastroenterology, having authored 6 papers that have together received 384 indexed citations. Recurring topics across this work include Music Therapy and Health (2 papers), Heart Rate Variability and Autonomic Control (2 papers) and Pharmaceutical industry and healthcare (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (214 citations), Anesthesiology and Pain Medicine (51 citations) and Complementary and alternative medicine (58 citations). Khushbu Shah has collaborated with scholars based in United States, Grenada and India. Frequent co-authors include Paul M. Lehrer, Yingting Zhang, Robert Huseby, Jean Daniel Eloy, Brian M. Radvansky, Michael Toscani, John L. Colaizzi and Joseph A. Barone. Their work appears in journals such as Behaviour Research and Therapy, BioMed Research International and Applied Psychophysiology and Biofeedback.
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.