Christopher M. Newman
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Biomedical Engineering top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Materials Chemistry
- Co-authors
- Thierry BettingerSimon HellerR. RobinsonN. HarrisDavid C. CrossmanSheila FrancisStuart LeeRob H. Ireland
- Topics
- Copyright and Intellectual Property (5 papers)RNA Interference and Gene Delivery (4 papers)Cardiac electrophysiology and arrhythmias (4 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Christopher M. Newman
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 442
- Cardiology and Cardiovascular Medicine 378
- Biomedical Engineering 376
- Endocrinology, Diabetes and Metabolism 353
- Materials Chemistry 190
Countries citing papers authored by Christopher M. Newman
This map shows the geographic impact of Christopher M. Newman'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 M. Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Newman more than expected).
Fields of papers citing papers by Christopher M. Newman
This network shows the impact of papers produced by Christopher M. Newman. 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 M. Newman. The network helps show where Christopher M. Newman may publish in the future.
Co-authorship network of co-authors of Christopher M. Newman
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Newman. A scholar is included among the top collaborators of Christopher M. Newman 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 M. Newman. Christopher M. Newman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | An Exclusive License Is Not an Assignment: Disentangling Divisibility and Transferability of Ownership in Copyright | 0 |
| 3 | 20 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | Transformation in Property and Copyright | 4 |
| 7 | 4 | |
| 8 | Abstract 3469: OPG:TRAIL Ratio as a Potential Biomarker for Pulmonary Arterial Hypertension | 1 |
| 9 | 292 | |
| 10 | 70 | |
| 11 | Real world small vessel coronary artery stenting: an analysis | 1 |
| 12 | 21 | |
| 13 | 214 | |
| 14 | 98 | |
| 15 | 50 | |
| 16 | 4 | |
| 17 | 23 | |
| 18 | 69 | |
| 19 | 9 | |
| 20 | 21 |
About Christopher M. Newman
Christopher M. Newman is a scholar working on Law, Marketing and Cardiology and Cardiovascular Medicine, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Copyright and Intellectual Property (5 papers), RNA Interference and Gene Delivery (4 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (353 citations), Cardiology and Cardiovascular Medicine (378 citations) and Biotechnology (92 citations). Christopher M. Newman has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Thierry Bettinger, Simon Heller, R. Robinson, N. Harris, David C. Crossman, Sheila Francis, Stuart Lee, Rob H. Ireland, Allan Lawrie and D.C. Cumberland. Their work appears in journals such as Circulation, Circulation Research and Diabetes.
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.