Phillip Shepherd

14 papers receiving 594 citations

Phillip Shepherd's Hit Papers

Cross-Comparison of Exome Analysis, Next-Generation Sequencing of Amplicons, and the iPLEX® ADME PGx Panel for Pharmacogenomic Profiling 2016 · 341 citations
3410+3+6Years since publication100200300

Peers

Phillip Shepherd
Comparison fields: 5 of 118
  • Pharmacology 41
  • Health Informatics 6
  • Complementary and alternative medicine 32
  • Rheumatology 52
  • General Dentistry 5
Replace Qianwen Wang with:
Qianwen Wang China
Amit Kumar Shrivastava India
Valéria Nunes-Souza Brazil
Naureen Fatima India
Konica Porwal India
Mevlüt Albayrak Türkiye
Wei Gong China
Chunmei Li China
Vasiliki Galani Greece
Mohammed Hasan Mukhtar Saudi Arabia
Phillip Shepherd relative to Qianwen Wang China Qianwen Wang's profile →
Citations per field
00.5×4.2×
Qianwen Wang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Phillip Shepherd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Phillip Shepherd Line = papers co-authored together Phillip Shepherd links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Cross-Comparison of Exome Analysis, Next-Generation Sequencing of Amplicons, and the iPLEX® ADME PGx Panel for Pharmacogenomic Profiling
Hit paper breakdown →
2016341
2 200787
3 201442
4 200126
5 202219
6 202114
7 201613
8 201713
9 201713
10 201713
11 201612
12 20177
13 20151
14 20181
15 20180

About Phillip Shepherd

Phillip Shepherd is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Pulmonary and Respiratory Medicine and Oncology, having authored 15 papers that have together received 602 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers), Nutrition, Genetics, and Disease (2 papers), Lung Cancer Treatments and Mutations (2 papers), Folate and B Vitamins Research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Pharmacology (41 citations), Health Informatics (6 citations), Complementary and alternative medicine (32 citations), Rheumatology (52 citations) and General Dentistry (5 citations). Phillip Shepherd has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include Nuala A. Helsby, Eng Wee Chua, Klaus Lehnert, Martin A. Kennedy, Simone L. Cree, K. S. Raju, Christine Mant, John Cason, Graham R.V. Hughes and Rahul Nath. Their work appears in journals such as Current Microbiology, Oncotarget, Molecular BioSystems, Applied immunohistochemistry & molecular morphology and Targeted Oncology.

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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