Christopher M. Newman

2.0k total citations
32 papers, 1.3k citations indexed

About

Christopher M. Newman is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Law. According to data from OpenAlex, Christopher M. Newman has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 6 papers in Law. Recurrent topics in Christopher M. Newman's work include Copyright and Intellectual Property (5 papers), RNA Interference and Gene Delivery (4 papers) and Cardiac electrophysiology and arrhythmias (4 papers). Christopher M. Newman is often cited by papers focused on Copyright and Intellectual Property (5 papers), RNA Interference and Gene Delivery (4 papers) and Cardiac electrophysiology and arrhythmias (4 papers). Christopher M. Newman collaborates with scholars based in United Kingdom, United States and Canada. Christopher M. Newman's 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 and has published in prestigious journals such as Circulation, Circulation Research and Diabetes.

In The Last Decade

Christopher M. Newman

29 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christopher M. Newman United Kingdom 15 442 378 376 353 190 32 1.3k
Han Zhang China 15 284 0.6× 143 0.4× 119 0.3× 169 0.5× 26 0.1× 65 924
Prue Cowled Australia 20 361 0.8× 136 0.4× 123 0.3× 102 0.3× 80 0.4× 46 1.1k
Riikka Läutamaki Finland 29 430 1.0× 722 1.9× 341 0.9× 265 0.8× 23 0.1× 57 2.4k
Jin Liu China 20 355 0.8× 293 0.8× 58 0.2× 215 0.6× 33 0.2× 121 1.3k
Yasuyuki Kawai Japan 19 297 0.7× 241 0.6× 55 0.1× 151 0.4× 31 0.2× 58 895
Zhiyu Ling China 24 161 0.4× 1.1k 2.8× 196 0.5× 71 0.2× 40 0.2× 93 1.6k
Long Wu China 25 842 1.9× 277 0.7× 251 0.7× 20 0.1× 42 0.2× 50 1.8k
Maoxiong Wu China 17 316 0.7× 210 0.6× 124 0.3× 47 0.1× 56 0.3× 57 890
Xiaoteng Ma China 14 297 0.7× 374 1.0× 49 0.1× 176 0.5× 16 0.1× 66 1.0k
Niki Christou France 18 387 0.9× 73 0.2× 64 0.2× 172 0.5× 15 0.1× 76 1.5k

Countries citing papers authored by Christopher M. Newman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Newman, Christopher M.. (2013). An Exclusive License Is Not an Assignment: Disentangling Divisibility and Transferability of Ownership in Copyright. 74(1). 6.
3.
Condliffe, Robin, Josephine Pickworth, Sara J. Walker, et al.. (2012). Serum Osteoprotegerin is Increased and Predicts Survival in Idiopathic Pulmonary Arterial Hypertension. Pulmonary Circulation. 2(1). 21–27. 20 indexed citations
4.
Newman, Christopher M.. (2012). A License is Not a 'Contract Not to Sue': Disentangling Property and Contract in the Law of Copyright Licenses. SSRN Electronic Journal. 6 indexed citations
5.
Hameed, Abdul, Nadine Arnold, Josephine Pickworth, et al.. (2011). T6 TRAIL is a potential novel therapeutic target in pulmonary arterial hypertension. Thorax. 66(Suppl 4). A3–A3.
6.
Newman, Christopher M.. (2010). Transformation in Property and Copyright. Villanova law review. 56(2). 251. 4 indexed citations
7.
Sheridan, Paul, Jefferson Luiz Brum Marques, Christopher M. Newman, Simon Heller, & Richard H. Clayton. (2010). Rate-dependent measures of repolarization predict inducibility of ventricular arrhythmias. EP Europace. 12(4). 553–560. 4 indexed citations
8.
Watt, Victoria, Elaine Soon, Jay Suntharalingam, et al.. (2009). Abstract 3469: OPG:TRAIL Ratio as a Potential Biomarker for Pulmonary Arterial Hypertension. Circulation. 120. 1 indexed citations
9.
Newman, Christopher M. & Thierry Bettinger. (2007). Gene therapy progress and prospects: Ultrasound for gene transfer. Gene Therapy. 14(6). 465–475. 292 indexed citations
10.
Lawrie, Allan, Elizabeth A. Waterman, Mark Southwood, et al.. (2007). Evidence of a Role for Osteoprotegerin in the Pathogenesis of Pulmonary Arterial Hypertension. American Journal Of Pathology. 172(1). 256–264. 70 indexed citations
11.
Morton, Allison, Thomas Papadopoulos, Robert Bowes, et al.. (2003). Real world small vessel coronary artery stenting: an analysis. UEA Digital Repository (University of East Anglia). 1 indexed citations
12.
Akowuah, Enoch, Paul Sheridan, Graham Cooper, & Christopher M. Newman. (2003). Preventing saphenous vein graft failure: does gene therapy have a role?. The Annals of Thoracic Surgery. 76(3). 959–966. 21 indexed citations
13.
Robinson, R., N. Harris, Rob H. Ireland, et al.. (2003). Mechanisms of Abnormal Cardiac Repolarization During Insulin-Induced Hypoglycemia. Diabetes. 52(6). 1469–1474. 214 indexed citations
14.
Eaton, Simon E.M, et al.. (2002). Clinical experience of amiodarone‐induced thyrotoxicosis over a 3‐year period: role of colour‐flow Doppler sonography*. Clinical Endocrinology. 56(1). 33–38. 98 indexed citations
15.
Gunn, Julian, Cathy M. Holt, Sheila Francis, et al.. (1997). The Effect of Oligonucleotides to c -myb on Vascular Smooth Muscle Cell Proliferation and Neointima Formation After Porcine Coronary Angioplasty. Circulation Research. 80(4). 520–531. 50 indexed citations
16.
McEwan, Jean R., Christopher M. Newman, John Wharton, Julia M. Polak, & John MacDermot. (1993). Capsaicin induced afferent denervation and receptor-linked responses to CGRP in the rat. Regulatory Peptides. 44(1). 61–69. 4 indexed citations
17.
Carruthers, George, et al.. (1993). Comparative trial of doxazosin and atenolol on cardiovascular risk reduction in systemic hypertension. The American Journal of Cardiology. 71(7). 575–581. 23 indexed citations
18.
Newman, Christopher M., et al.. (1990). Response of angiographically normal and atherosclerotic left anterior descending coronary arteries to acetylcholine. The American Journal of Cardiology. 66(15). 1070–1076. 69 indexed citations
19.
Maseri, A, Christopher M. Newman, & G. Davies. (1989). Coronary vasomotor tone: a heterogeneous entity. European Heart Journal. 10(suppl F). 2–5. 9 indexed citations
20.
Calvert, Sandra, Gyula Soltész, P A Jenkins, et al.. (1985). Feeding Premature Infants with Human Milk or Preterm Milk Formula. Neonatology. 47(4). 189–198. 21 indexed citations

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.

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