Robin Haddad
Impact in
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- Acupuncture Treatment Research Studies
- Complementary and Alternative Medicine Studies
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- Cancer survivorship and care
Papers in
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- Acupuncture Treatment Research Studies 5
- Traditional Chinese Medicine Studies 1
- Complementary and Alternative Medicine Studies 1
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- Music Therapy and Health 2
- Co-authors
- Lorenzo Cohen (7 shared papers)Richard T. Lee (5 shared papers)M. Kay Garcia (4 shared papers)Jennifer L. McQuade (4 shared papers)Peiying Yang (1 shared paper)J. Lynn Palmer (1 shared paper)Qi Wei (3 shared papers)Amy Spelman (2 shared papers)
- Journals
- Journal of Clinical Oncology (2 papers)Integrative Cancer Therapies (2 papers)Cancer (1 paper)Current Oncology Reports (1 paper)Medical Acupuncture (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Robin Haddad
7 papers receiving 533 citations
Peers
Comparison fields: 5 of 62
- Complementary and alternative medicine 182
- Oncology 160
- Behavioral Neuroscience 12
- Anesthesiology and Pain Medicine 14
- Biological Psychiatry 6
Countries citing papers authored by Robin Haddad
This map shows the geographic impact of Robin Haddad'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 Robin Haddad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Haddad more than expected).
Fields of papers citing papers by Robin Haddad
This network shows the impact of papers produced by Robin Haddad. 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 Robin Haddad. The network helps show where Robin Haddad may publish in the future.
Co-authors
The 23 scholars most cited alongside Robin Haddad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 227 | |
| 2 | 2014 | 187 | |
| 3 | 2016 | 45 | |
| 4 | 2015 | 29 | |
| 5 | 2014 | 28 | |
| 6 | 2013 | 25 | |
| 7 | 2015 | 9 |
About Robin Haddad
Robin Haddad is a scholar working on Complementary and alternative medicine, Social Psychology, Cognitive Neuroscience, Oncology and Clinical Psychology, having authored 7 papers that have together received 550 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (5 papers), Pain Management and Placebo Effect (2 papers), Cancer survivorship and care (2 papers), Music Therapy and Health (2 papers), Salivary Gland Disorders and Functions (1 paper), Traditional Chinese Medicine Studies (1 paper), Complementary and Alternative Medicine Studies (1 paper) and Mindfulness and Compassion Interventions (1 paper). The work is most often cited by research in Complementary and alternative medicine (182 citations), Oncology (160 citations), Behavioral Neuroscience (12 citations), Anesthesiology and Pain Medicine (14 citations) and Biological Psychiatry (6 citations). Robin Haddad has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Lorenzo Cohen, Richard T. Lee, M. Kay Garcia, Jennifer L. McQuade, Peiying Yang, J. Lynn Palmer, Qi Wei, Amy Spelman, Alejandro Chaoul and Kavita D. Chandwani. Their work appears in journals such as Journal of Clinical Oncology, Integrative Cancer Therapies, Cancer, Current Oncology Reports and Medical Acupuncture.
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.