Jennifer Harrington
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Molecular Biology
- Surgery
- Reproductive Medicine top 5%
- Co-authors
- Mark R. PalmertJennifer CouperAlexia PeñaRoger GentEtienne SochettCraig HirteAndrew HowardJill Hamilton
- Topics
- Diabetes Management and Research (8 papers)Vitamin D Research Studies (5 papers)Connective tissue disorders research (5 papers)
- Journals
- American Journal of Clinical NutritionThe Journal of Clinical Endocrinology & MetabolismPEDIATRICS
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Jennifer Harrington
43 papers receiving 780 citations
Peers
Comparison fields: 5 of 89
- Endocrinology, Diabetes and Metabolism 244
- Genetics 231
- Molecular Biology 226
- Surgery 138
- Reproductive Medicine 137
Countries citing papers authored by Jennifer Harrington
This map shows the geographic impact of Jennifer Harrington'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 Jennifer Harrington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Harrington more than expected).
Fields of papers citing papers by Jennifer Harrington
This network shows the impact of papers produced by Jennifer Harrington. 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 Jennifer Harrington. The network helps show where Jennifer Harrington may publish in the future.
Co-authorship network of co-authors of Jennifer Harrington
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Harrington. A scholar is included among the top collaborators of Jennifer Harrington 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 Jennifer Harrington. Jennifer Harrington is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 54 | |
| 10 | 15 | |
| 11 | 27 | |
| 12 | 4 | |
| 13 | 25 | |
| 14 | 57 | |
| 15 | 45 | |
| 16 | 109 | |
| 17 | 35 | |
| 18 | 91 | |
| 19 | 16 | |
| 20 | 25 |
About Jennifer Harrington
Jennifer Harrington is a scholar working on Chemical Health and Safety, Endocrinology, Diabetes and Metabolism and Genetics, having authored 47 papers that have together received 803 indexed citations. Recurring topics across this work include Diabetes Management and Research (8 papers), Vitamin D Research Studies (5 papers) and Connective tissue disorders research (5 papers). The work is most often cited by research in Reproductive Medicine (137 citations), Endocrinology, Diabetes and Metabolism (244 citations) and Genetics (231 citations). Jennifer Harrington has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Mark R. Palmert, Jennifer Couper, Alexia Peña, Roger Gent, Etienne Sochett, Craig Hirte, Andrew Howard, Jill Hamilton, Peter Baghurst and Peter K. Jackson. Their work appears in journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and PEDIATRICS.
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.