John Nixon

538 total citations
11 papers, 172 citations indexed

About

John Nixon is a scholar working on Cardiology and Cardiovascular Medicine, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, John Nixon has authored 11 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 2 papers in Neurology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in John Nixon's work include Cardiac pacing and defibrillation studies (2 papers), Cardiac Imaging and Diagnostics (2 papers) and ECG Monitoring and Analysis (1 paper). John Nixon is often cited by papers focused on Cardiac pacing and defibrillation studies (2 papers), Cardiac Imaging and Diagnostics (2 papers) and ECG Monitoring and Analysis (1 paper). John Nixon collaborates with scholars based in United States, United Kingdom and Sweden. John Nixon's co-authors include Paul Newbold, Gary P. Anderson, Tomas Mustelin, Roland Kolbeck, Anthony J. Minisi, George W. Vetrovec, Thomas R. Porter, Pramod K. Mohanty, Lori Jones and Michael C. Kontos and has published in prestigious journals such as Journal of the American College of Cardiology, Neurology and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

John Nixon

9 papers receiving 169 citations

Peers

John Nixon

RNMI

CCM

PHYSI

MB

BE

Leo Pölzl Austria

Sara Bacanovic Switzerland

Henry Marshall Australia

Robert A. de Kemp Canada

Michelle C. Liang United States

John Baksi United Kingdom

Simon Braumann Germany

Aleksandra Mas‐Stachurska Spain

Yair Alster Israel

Marine Lebrin France

Leo Pölzl Austria

John Nixon

30 ×0.5

RNMI

56 ×1.3

CCM

14 ×0.3

PHYSI

27 ×0.8

MB

17 ×0.5

BE

Citations per year, relative to John Nixon John Nixon (= 1×) peers Leo Pölzl

Countries citing papers authored by John Nixon

Since Specialization

Citations

This map shows the geographic impact of John Nixon'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 John Nixon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Nixon more than expected).

Fields of papers citing papers by John Nixon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Nixon. 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 John Nixon. The network helps show where John Nixon may publish in the future.

Co-authorship network of co-authors of John Nixon

This figure shows the co-authorship network connecting the top 25 collaborators of John Nixon. A scholar is included among the top collaborators of John Nixon 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 John Nixon. John Nixon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Kemp, Michael, et al.. (2019). 207 An atypical cause of longitudinally extensive transverse myelitis after an allogeneic haemopoietic stem cell transplant. Journal of Neurology Neurosurgery & Psychiatry. 90(12). e52.2–e52.

2.

Janssen, Jessie, et al.. (2018). A clinical case series investigating the effectiveness of an exercise intervention in chronic inflammatory demyelinating polyneuropathy. Physiotherapy Practice and Research. 39(1). 37–44. 4 indexed citations

3.

Nixon, John, et al.. (2018). Are There Benefits in Adding Catechol-O Methyltransferase Inhibitors in the Pharmacotherapy of Parkinson’s Disease Patients? A Systematic Review. Journal of Parkinson s Disease. 8(2). 217–231. 15 indexed citations

4.

Nixon, John, et al.. (2017). Ability of Nonstrain Diastolic Parameters to Predict Doxorubicin-Induced Cardiomyopathy. Cardiology in Review. 26(1). 29–34. 14 indexed citations

5.

Nixon, John, Paul Newbold, Tomas Mustelin, Gary P. Anderson, & Roland Kolbeck. (2016). Monoclonal antibody therapy for the treatment of asthma and chronic obstructive pulmonary disease with eosinophilic inflammation. Pharmacology & Therapeutics. 169. 57–77. 60 indexed citations

6.

Gertz, Zachary M., et al.. (2014). Percutaneous closure of an Iatrogenic fistula from the left ventricle to the coronary sinus. Catheterization and Cardiovascular Interventions. 86(2). E99–E102.

7.

Alston, Charlotte L., Andrew M. Schaefer, Nicola Solaroli, et al.. (2013). Late-onset respiratory failure due to TK2 mutations causing multiple mtDNA deletions. Neurology. 81(23). 2051–2053. 17 indexed citations

8.

Han, Frederick T., et al.. (2010). What is the time course of reversal of tachycardia-induced cardiomyopathy?. EP Europace. 13(1). 139–141. 2 indexed citations

9.

Kontos, Michael C., et al.. (2007). Are Systolic Time Intervals Superior to QRS Duration for Detection of LV Dyssynchrony?. Journal of Cardiac Failure. 13(6). S173–S173. 1 indexed citations

10.

Porter, Thomas R., Lori Jones, Anthony J. Minisi, et al.. (1993). Myocardial contrast echocardiography for the assessment of coronary blood flow reserve: Validation in humans. Journal of the American College of Cardiology. 21(2). 349–355. 55 indexed citations

11.

Blomqvist, C. Gunnar, et al.. (1978). 7. THE EXERCISE ECG AND RELATED PHYSIOLOGICAL DATA AS MARKERS OF CRITICAL CORONARY ARTERY LESIONS. Acta Medica Scandinavica. 203(S615). 51–62. 4 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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