Danielle J. Haakinson
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments 6
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- Growth Hormone and Insulin-like Growth Factors 3
- Hyperglycemia and glycemic control in critically ill and hospitalized patients 3
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- Cancer-related Molecular Pathways 2
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- Organ Transplantation Techniques and Outcomes 6
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- Organ Donation and Transplantation 4
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- Neuroendocrine Tumor Research Advances 2
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- Renal and Vascular Pathologies 2
- Co-authors
- Heidi A. ApseyBarbara A. PockajAmylou C. DueckRichard J. GrayNabil WasifChee-Chee H. StuckyKeren LadinErich J. Greene
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Endocrinology (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Danielle J. Haakinson
19 papers receiving 414 citations
Peers
Comparison fields: 5 of 66
- Transplantation 102
- Endocrinology, Diabetes and Metabolism 91
- Oncology 113
- Surgery 173
- Hepatology 30
Countries citing papers authored by Danielle J. Haakinson
This map shows the geographic impact of Danielle J. Haakinson'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. Haakinson 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. Haakinson more than expected).
Fields of papers citing papers by Danielle J. Haakinson
This network shows the impact of papers produced by Danielle J. Haakinson. 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. Haakinson. The network helps show where Danielle J. Haakinson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Danielle J. Haakinson, 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 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2021 | 1 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 45 | |
| 9 | 2020 | 19 | |
| 10 | 2019 | 68 | |
| 11 | 2016 | 16 | |
| 12 | 2016 | 13 | |
| 13 | 2015 | 2 | |
| 14 | 2014 | 33 | |
| 15 | 2013 | 30 | |
| 16 | 2012 | 73 | |
| 17 | 2010 | 29 | |
| 18 | 2006 | 2 | |
| 19 | 2005 | 14 | |
| 20 | 2002 | 35 |
About Danielle J. Haakinson
Danielle J. Haakinson is a scholar working on Transplantation, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 21 papers that have together received 423 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (6 papers), Organ Transplantation Techniques and Outcomes (6 papers), Organ Donation and Transplantation (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Neuroendocrine Tumor Research Advances (2 papers), Renal and Vascular Pathologies (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Transplantation (102 citations), Endocrinology, Diabetes and Metabolism (91 citations) and Oncology (113 citations). Danielle J. Haakinson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Heidi A. Apsey, Barbara A. Pockaj, Amylou C. Dueck, Richard J. Gray, Nabil Wasif, Chee-Chee H. Stucky, Keren Ladin, Erich J. Greene, Yanhong Deng and Sanjay Kulkarni. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Endocrinology.
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.