Danielle Petersel
Impact in
- Psychiatry and Mental health top 5%
- Fibromyalgia and Chronic Fatigue Syndrome Research
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- Biosimilars and Bioanalytical Methods
Papers in
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- Fibromyalgia and Chronic Fatigue Syndrome Research 9
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- Biosimilars and Bioanalytical Methods 5
- Co-authors
- Ira Jacobs (4 shared papers)Ernest Choy (2 shared papers)Serge Perrot (2 shared papers)Teresa León (1 shared paper)Romano Danesi (1 shared paper)Paul Declerck (1 shared paper)Naomi Schlesinger (1 shared paper)Raymond Cheung (1 shared paper)
- Journals
- BioDrugs (3 papers)Expert Opinion on Pharmacotherapy (2 papers)BMC Health Services Research (2 papers)Clinical Journal of Pain (1 paper)Drugs (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Danielle Petersel
17 papers receiving 747 citations
Peers
Comparison fields: 5 of 94
- Psychiatry and Mental health 355
- Immunology 197
- Pharmacology 144
- Nephrology 49
- Internal Medicine 15
Countries citing papers authored by Danielle Petersel
This map shows the geographic impact of Danielle Petersel'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 Petersel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Petersel more than expected).
Fields of papers citing papers by Danielle Petersel
This network shows the impact of papers produced by Danielle Petersel. 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 Petersel. The network helps show where Danielle Petersel may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Petersel, 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 | 2010 | 233 | |
| 2 | 2017 | 113 | |
| 3 | 2012 | 87 | |
| 4 | 2010 | 70 | |
| 5 | Treatment of acute gout in hospitalized patients. | 2007 | 51 |
| 6 | 2018 | 45 | |
| 7 | 2016 | 37 | |
| 8 | 2016 | 36 | |
| 9 | 2018 | 31 | |
| 10 | 2012 | 21 | |
| 11 | 2013 | 19 | |
| 12 | 2012 | 11 | |
| 13 | 2005 | 9 | |
| 14 | 2010 | 9 | |
| 15 | 2010 | 8 | |
| 16 | 2010 | 5 | |
| 17 | 2010 | 2 |
About Danielle Petersel
Danielle Petersel is a scholar working on Psychiatry and Mental health, Immunology, Pharmacology, Nephrology and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 787 indexed citations. Recurring topics across this work include Fibromyalgia and Chronic Fatigue Syndrome Research (9 papers), Biosimilars and Bioanalytical Methods (5 papers), Musculoskeletal pain and rehabilitation (2 papers), Spondyloarthritis Studies and Treatments (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Central Venous Catheters and Hemodialysis (1 paper), Pain Mechanisms and Treatments (1 paper) and Gout, Hyperuricemia, Uric Acid (1 paper). The work is most often cited by research in Psychiatry and Mental health (355 citations), Immunology (197 citations), Pharmacology (144 citations), Nephrology (49 citations) and Internal Medicine (15 citations). Danielle Petersel has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Ira Jacobs, Ernest Choy, Serge Perrot, Teresa León, Romano Danesi, Paul Declerck, Naomi Schlesinger, Raymond Cheung, Sadiq Lula and Robert Strohal. Their work appears in journals such as BioDrugs, Expert Opinion on Pharmacotherapy, BMC Health Services Research, Clinical Journal of Pain and Drugs.
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.