Danielle Calderwood
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Food Science top 10%
- Nutrition and Dietetics
- Physiology
- Co-authors
- Brian D. GreenHarsh PanwarSunita GroverIrene R. GrantBushra MirzaSamreen SaleemDavid GrieveLaila Jafri
- Topics
- Diabetes Treatment and Management (6 papers)Natural Antidiabetic Agents Studies (4 papers)Neuropeptides and Animal Physiology (3 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsNutrition and Dietetics
- Journals
- SHILAP Revista de lepidopterologíaFood ChemistryJournal of Ethnopharmacology
- Partner nations
- United KingdomIndiaPakistan
In The Last Decade
Danielle Calderwood
14 papers receiving 440 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 195
- Endocrinology, Diabetes and Metabolism 163
- Food Science 90
- Nutrition and Dietetics 84
- Physiology 63
Countries citing papers authored by Danielle Calderwood
This map shows the geographic impact of Danielle Calderwood'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 Calderwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Calderwood more than expected).
Fields of papers citing papers by Danielle Calderwood
This network shows the impact of papers produced by Danielle Calderwood. 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 Calderwood. The network helps show where Danielle Calderwood may publish in the future.
Co-authorship network of co-authors of Danielle Calderwood
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Calderwood. A scholar is included among the top collaborators of Danielle Calderwood 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 Danielle Calderwood. Danielle Calderwood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 20 | |
| 4 | 20 | |
| 5 | 30 | |
| 6 | 16 | |
| 7 | 18 | |
| 8 | 42 | |
| 9 | 61 | |
| 10 | 19 | |
| 11 | 104 | |
| 12 | 67 | |
| 13 | 20 | |
| 14 | 24 |
About Danielle Calderwood
Danielle Calderwood is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Nutrition and Dietetics, having authored 14 papers that have together received 452 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Natural Antidiabetic Agents Studies (4 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (163 citations), Endocrine and Autonomic Systems (38 citations) and Nutrition and Dietetics (84 citations). Danielle Calderwood has collaborated with scholars based in United Kingdom, India and Pakistan. Frequent co-authors include Brian D. Green, Harsh Panwar, Sunita Grover, Irene R. Grant, Bushra Mirza, Samreen Saleem, David Grieve, Laila Jafri, Leng Chee Chang and Ihsan Ul Haq. Their work appears in journals such as SHILAP Revista de lepidopterología, Food Chemistry and Journal of Ethnopharmacology.
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.