Phillip Shepherd

773 total citations · 1 hit paper
14 papers, 594 citations indexed

About

Phillip Shepherd is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Phillip Shepherd has authored 14 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Phillip Shepherd's work include Epigenetics and DNA Methylation (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Nutrition, Genetics, and Disease (2 papers). Phillip Shepherd is often cited by papers focused on Epigenetics and DNA Methylation (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Nutrition, Genetics, and Disease (2 papers). Phillip Shepherd collaborates with scholars based in New Zealand, United Kingdom and Australia. Phillip Shepherd's co-authors include Nuala A. Helsby, Martin A. Kennedy, Eng Wee Chua, Klaus Lehnert, Simone L. Cree, K. S. Raju, Christine Mant, Graham R.V. Hughes, Rahul Nath and John Cason and has published in prestigious journals such as Biosensors and Bioelectronics, Oncotarget and Frontiers in Pharmacology.

In The Last Decade

Phillip Shepherd

14 papers receiving 584 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cross-Comparison of Exome Analysis, Next-Generation Sequencing of Amplicons, and the iPLEX® ADME PGx Panel for Pharmacogenomic Profiling

2016 340 citations Eng Wee Chua, Simone L. Cree et al. Frontiers in Pharmacology profile →

Peers

Phillip Shepherd

PRM

EPIDE

RHEUM

PHARM

Martin Béliveau United States

Alena Mazuráková Slovakia

Mevlüt Albayrak Türkiye

Ryan S. Funk United States

Mi Kyoung Kim South Korea

Yoichi Ishitsuka Japan

Yuki Kondo Japan

Francesco Reggiani Italy

Mayank Kumar India

Xinyan Chen China

Martin Béliveau United States

Phillip Shepherd

180 ×1.0

42 ×0.6

PRM

95 ×1.4

EPIDE

46 ×0.7

RHEUM

51 ×1.0

PHARM

Citations per year, relative to Phillip Shepherd Phillip Shepherd (= 1×) peers Martin Béliveau

Countries citing papers authored by Phillip Shepherd

Since Specialization

Citations

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

Fields of papers citing papers by Phillip Shepherd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip Shepherd

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

All Works

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14 of 14 papers shown

Gladding, Patrick, Renée Young, Silas G. Villas‐Bôas, et al.. (2022). Metabolomics and a Breath Sensor Identify Acetone as a Biomarker for Heart Failure. Biomolecules. 13(1). 13–13. 15 indexed citations

Gladding, Patrick, Silas G. Villas‐Bôas, Phillip Shepherd, et al.. (2021). Multiomics, Virtual Reality and Artificial Intelligence in Heart Failure. Future Cardiology. 17(8). 1335–1347. 13 indexed citations

Gladding, Patrick, et al.. (2018). Screening for Cardiac Disease with Genetic Risk Scoring, Advanced ECG, Echocardiography, Protein Biomarkers and Metabolomics. Heart Lung and Circulation. 27. S8–S8. 1 indexed citations

Kao, Chi, Nishi Karunasinghe, Karen Bishop, et al.. (2017). Environmental factors and risk of aggressive prostate cancer among a population of New Zealand men – a genotypic approach. Molecular BioSystems. 13(4). 681–698. 13 indexed citations

McKeage, Mark J., Mark Elwood, Sandar Tin Tin, et al.. (2017). EGFR Mutation Testing of non-squamous NSCLC: Impact and Uptake during Implementation of Testing Guidelines in a Population-Based Registry Cohort from Northern New Zealand. Targeted Oncology. 12(5). 663–675. 12 indexed citations

Burns, Kathryn, Phillip Shepherd, Graeme J. Finlay, Malcolm D. Tingle, & Nuala A. Helsby. (2017). Indirect regulation of CYP2C19 gene expression via DNA methylation. Xenobiotica. 48(8). 781–792. 7 indexed citations

Shepherd, Phillip, Sandar Tin Tin, George Laking, et al.. (2017). Lung cancer mutation testing: a clinical retesting study of agreement between a real-time PCR and a mass spectrometry test. Oncotarget. 8(60). 101437–101451. 13 indexed citations

Chua, Eng Wee, Simone L. Cree, Klaus Lehnert, et al.. (2016). Cross-Comparison of Exome Analysis, Next-Generation Sequencing of Amplicons, and the iPLEX® ADME PGx Panel for Pharmacogenomic Profiling. Frontiers in Pharmacology. 7. 1–1. 340 indexed citations breakdown →

Turchini, John, Juliana Andrici, Loretta Sioson, et al.. (2016). NRASQ61R Mutation-specific Immunohistochemistry is Highly Specific for Either NRAS Q61R or KRAS Q61R Mutation in Colorectal Carcinoma. Applied immunohistochemistry & molecular morphology. 25(7). 475–480. 12 indexed citations

10.

Knoll, Detlef, Donald R. Love, Phillip Shepherd, et al.. (2016). The natural history of elevated tetradecenoyl‐L‐carnitine detected by newborn screening in New Zealand: implications for very long chain acyl‐CoA dehydrogenase deficiency screening and treatment. Journal of Inherited Metabolic Disease. 39(3). 409–414. 13 indexed citations

11.

Gladding, Patrick, et al.. (2015). Personalized Hypertension Management in Practice. Personalized Medicine. 12(3). 297–311. 1 indexed citations

12.

Zhu, Bicheng, Marsilea A. Booth, Phillip Shepherd, Allan Sheppard, & Jadranka Travaš-Sejdić. (2014). Distinguishing cytosine methylation using electrochemical, label-free detection of DNA hybridization and ds-targets. Biosensors and Bioelectronics. 64. 74–80. 41 indexed citations

13.

Nath, Rahul, Christine Mant, Graham R.V. Hughes, et al.. (2007). High risk of human papillomavirus type 16 infections and of development of cervical squamous intraepithelial lesions in systemic lupus erythematosus patients. Arthritis Care & Research. 57(4). 619–625. 87 indexed citations

14.

Bhatti, Manpreet, Sean P. Nair, Alexander J. MacRobert, et al.. (2001). Identification of Photolabile Outer Membrane Proteins of Porphyromonas gingivalis. Current Microbiology. 43(2). 96–99. 26 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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