Christina Bjenning
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Surgery
- Endocrine and Autonomic Systems top 10%
- Aquatic Science top 10%
- Co-authors
- Susanne HolmgrenJ. Michael ConlonNeil HazonDavid WaughJohn H. YousonGeorge B. StefanoThomas W. MoonLars Thim
- Topics
- Neuropeptides and Animal Physiology (10 papers)Receptor Mechanisms and Signaling (6 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers)
- Journals
- American Journal of Physiology-Heart and Circulatory PhysiologyAmerican Journal of Physiology-Regulatory, Integrative and Comparative PhysiologyCell and Tissue Research
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Christina Bjenning
16 papers receiving 367 citations
Peers
Comparison fields: 5 of 60
- Cellular and Molecular Neuroscience 243
- Molecular Biology 148
- Surgery 101
- Endocrine and Autonomic Systems 74
- Aquatic Science 50
Countries citing papers authored by Christina Bjenning
This map shows the geographic impact of Christina Bjenning'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 Christina Bjenning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Bjenning more than expected).
Fields of papers citing papers by Christina Bjenning
This network shows the impact of papers produced by Christina Bjenning. 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 Christina Bjenning. The network helps show where Christina Bjenning may publish in the future.
Co-authorship network of co-authors of Christina Bjenning
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Bjenning. A scholar is included among the top collaborators of Christina Bjenning 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 Christina Bjenning. Christina Bjenning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | G protein-coupled receptors as therapeutic targets for obesity and type 2 diabetes. | 15 |
| 3 | 30 | |
| 4 | 4 | |
| 5 | 31 | |
| 6 | 24 | |
| 7 | 9 | |
| 8 | 16 | |
| 9 | 16 | |
| 10 | 23 | |
| 11 | 20 | |
| 12 | 41 | |
| 13 | 22 | |
| 14 | 10 | |
| 15 | 19 | |
| 16 | 66 |
About Christina Bjenning
Christina Bjenning is a scholar working on Cellular and Molecular Neuroscience, Aquatic Science and Endocrine and Autonomic Systems, having authored 16 papers that have together received 382 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (10 papers), Receptor Mechanisms and Signaling (6 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (243 citations), Endocrine and Autonomic Systems (74 citations) and Aquatic Science (50 citations). Christina Bjenning has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Susanne Holmgren, J. Michael Conlon, Neil Hazon, David Waugh, John H. Youson, George B. Stefano, Thomas W. Moon, Lars Thim, Richard M. Kream and Per F. Nielsen. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Cell and Tissue Research.
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.