Joanna Van
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
- Pharmacology top 5%
- Pharmacology and Obesity Treatment
Papers in ⓘ
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- Diabetes Treatment and Management 5
- Diabetes Management and Research 1
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- Pharmacology and Obesity Treatment 2
- Co-authors
- Juan P. Frías (5 shared papers)Xuewei Cui (2 shared papers)Michael A. Nauck (3 shared papers)Axel Haupt (3 shared papers)Shweta Urva (2 shared papers)Charles Benson (3 shared papers)Zvonko Miličević (3 shared papers)Deborah A. Robins (3 shared papers)
- Journals
- Diabetes Obesity and Metabolism (2 papers)Diabetes Therapy (1 paper)Journal of Pain (1 paper)Diabetes (1 paper)The Lancet (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Joanna Van
6 papers receiving 920 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Endocrinology, Diabetes and Metabolism 698
- Pharmacology 275
- Endocrine and Autonomic Systems 87
- Physiology 267
- Surgery 273
Countries citing papers authored by Joanna Van
This map shows the geographic impact of Joanna Van'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 Joanna Van with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna Van more than expected).
Fields of papers citing papers by Joanna Van
This network shows the impact of papers produced by Joanna Van. 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 Joanna Van. The network helps show where Joanna Van may publish in the future.
Co-authors
The 25 scholars most cited alongside Joanna Van, 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 | Efficacy and safety of LY3298176, a novel dual GIP and GLP-1 receptor agonist, in patients with type 2 diabetes: a randomised, placebo-controlled and active comparator-controlled phase 2 trial Hit paper breakdown → | 2018 | 610 |
| 2 | 2020 | 171 | |
| 3 | 2016 | 103 | |
| 4 | 2021 | 41 | |
| 5 | 2021 | 11 | |
| 6 | 2019 | 2 |
About Joanna Van
Joanna Van is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology, Oncology, Neurology and Molecular Biology, having authored 6 papers that have together received 938 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Pharmacology and Obesity Treatment (2 papers), Pancreatic function and diabetes (1 paper), Cancer Treatment and Pharmacology (1 paper), Diabetes Management and Research (1 paper), Pain Mechanisms and Treatments (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (698 citations), Pharmacology (275 citations), Endocrine and Autonomic Systems (87 citations), Physiology (267 citations) and Surgery (273 citations). Joanna Van has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Juan P. Frías, Xuewei Cui, Michael A. Nauck, Axel Haupt, Shweta Urva, Charles Benson, Zvonko Miličević, Deborah A. Robins, Ruth E. Gimeno and Ross Bray. Their work appears in journals such as Diabetes Obesity and Metabolism, Diabetes Therapy, Journal of Pain, Diabetes and The Lancet.
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.