Christopher J. Wraight
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Cell Biology top 5%
- Immunology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- George A. WertherStephanie R. EdmondsonP.K. BosKeith K. StanleyPaul J. WhiteNicholas J. HoogenraadJennifer L. Wilkinson‐BerkaRhys D. Fogarty
- Topics
- Growth Hormone and Insulin-like Growth Factors (14 papers)RNA Interference and Gene Delivery (6 papers)Fibroblast Growth Factor Research (5 papers)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Christopher J. Wraight
31 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 683
- Endocrinology, Diabetes and Metabolism 313
- Cell Biology 280
- Immunology 247
- Radiology, Nuclear Medicine and Imaging 130
Countries citing papers authored by Christopher J. Wraight
This map shows the geographic impact of Christopher J. Wraight'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 Christopher J. Wraight with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. Wraight more than expected).
Fields of papers citing papers by Christopher J. Wraight
This network shows the impact of papers produced by Christopher J. Wraight. 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 Christopher J. Wraight. The network helps show where Christopher J. Wraight may publish in the future.
Co-authorship network of co-authors of Christopher J. Wraight
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Wraight. A scholar is included among the top collaborators of Christopher J. Wraight 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 Christopher J. Wraight. Christopher J. Wraight is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | An antisense oligonucleotide targeting the growth hormone receptor inhibits neovascularization in a mouse model of retinopathy. | 19 |
| 3 | 23 | |
| 4 | 80 | |
| 5 | 35 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 39 | |
| 10 | 66 | |
| 11 | 12 | |
| 12 | 37 | |
| 13 | 25 | |
| 14 | 38 | |
| 15 | 61 | |
| 16 | 32 | |
| 17 | 30 | |
| 18 | 14 | |
| 19 | 8 | |
| 20 | 45 |
About Christopher J. Wraight
Christopher J. Wraight is a scholar working on Endocrinology, Diabetes and Metabolism, Urology and Clinical Biochemistry, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (14 papers), RNA Interference and Gene Delivery (6 papers) and Fibroblast Growth Factor Research (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (313 citations), Cell Biology (280 citations) and Dermatology (126 citations). Christopher J. Wraight has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include George A. Werther, Stephanie R. Edmondson, P.K. Bos, Keith K. Stanley, Paul J. White, Nicholas J. Hoogenraad, Jennifer L. Wilkinson‐Berka, Rhys D. Fogarty, Mari Murashita and Joachim Lipp. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal and Nature Biotechnology.
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.