Derek Hagman
- Surgery top 2%
- Physiology top 2%
- Molecular Biology top 10%
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Vincent PoitoutMario KratzJessica N. KuzmaSusan ParazzoliMaggie S. BurhansKelsey A. SchmidtGhislaine FontèsMeriem Semache
- Topics
- Pancreatic function and diabetes (13 papers)Adipokines, Inflammation, and Metabolic Diseases (10 papers)Metabolism, Diabetes, and Cancer (9 papers)
- Partner nations
- United StatesCanadaSouth Africa
In The Last Decade
Derek Hagman
41 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Surgery 1.2k
- Physiology 852
- Molecular Biology 833
- Epidemiology 802
- Endocrinology, Diabetes and Metabolism 678
Countries citing papers authored by Derek Hagman
This map shows the geographic impact of Derek Hagman'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 Derek Hagman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derek Hagman more than expected).
Fields of papers citing papers by Derek Hagman
This network shows the impact of papers produced by Derek Hagman. 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 Derek Hagman. The network helps show where Derek Hagman may publish in the future.
Co-authorship network of co-authors of Derek Hagman
This figure shows the co-authorship network connecting the top 25 collaborators of Derek Hagman. A scholar is included among the top collaborators of Derek Hagman 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 Derek Hagman. Derek Hagman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 6 | |
| 3 | 17 | |
| 4 | 25 | |
| 5 | 30 | |
| 6 | 13 | |
| 7 | Contribution of Adipose Tissue Inflammation to the Development of Type 2 Diabetes Mellitusbreakdown → | 307 |
| 8 | 8 | |
| 9 | 56 | |
| 10 | Metabolic Dysfunction Drives a Mechanistically Distinct Proinflammatory Phenotype in Adipose Tissue Macrophagesbreakdown → | 625 |
| 11 | 53 | |
| 12 | 29 | |
| 13 | 25 | |
| 14 | 8 | |
| 15 | 86 | |
| 16 | 292 | |
| 17 | 63 | |
| 18 | 156 | |
| 19 | Mass spawning by two brittle star species, Ophioderma rubicundumand O. squamosissimum (Echinodermata: Ophiuroidea), at the Flower Garden Banks, Gulf of Mexico | 19 |
| 20 | 120 |
About Derek Hagman
Derek Hagman is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology, having authored 41 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (13 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers) and Metabolism, Diabetes, and Cancer (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (678 citations), Physiology (852 citations) and Small Animals (209 citations). Derek Hagman has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Vincent Poitout, Mario Kratz, Jessica N. Kuzma, Susan Parazzoli, Maggie S. Burhans, Kelsey A. Schmidt, Ghislaine Fontès, Meriem Semache, Bader Zarrouki and Julie Amyot. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Clinical Nutrition and Cell Metabolism.
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.