Phillip Shepherd

17 papers receiving 654 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 · 356 citations
3560+3+6Years since publication100200300

Peers

Phillip Shepherd
Comparison fields: 5 of 118
  • Pharmacology 43
  • Complementary and alternative medicine 33
  • Health Informatics 6
  • Rheumatology 57
  • Biochemistry 19
Replace Syed Arman Rabbani with:
Syed Arman Rabbani United Arab Emirates
Qianwen Wang China
Md Sadique Hussain India
Naureen Fatima India
Filip Machaj Poland
Konica Porwal India
Minggang Wei China
Yafei Liu China
Noriko Sato Japan
Si Qin China
Phillip Shepherd relative to Syed Arman Rabbani United Arab Emirates Syed Arman Rabbani's profile →
Citations per field
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Syed Arman Rabbani · 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

17 of 17 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 →
2016356
2 200795
3 201443
4 201628
5 200126
6 202219
7 201616
8 201714
9 202114
10 201714
11 201613
12 201713
13 20177
14 20186
15 20181
16 20181
17 20151

About Phillip Shepherd

Phillip Shepherd is a scholar working on Oncology, Genetics, Pharmacology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 17 papers that have together received 667 indexed citations. Recurring topics across this work include Nutrition, Genetics, and Disease (2 papers), Epigenetics and DNA Methylation (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), RNA and protein synthesis mechanisms (2 papers), Cancer Genomics and Diagnostics (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Pharmacology (43 citations), Complementary and alternative medicine (33 citations), Health Informatics (6 citations), Rheumatology (57 citations) and Biochemistry (19 citations). Phillip Shepherd has collaborated with scholars based in New Zealand, Australia and United Kingdom. Frequent co-authors include Nuala Ann Helsby, Simone L. Cree, Eng Wee Chua, Klaus Lehnert, Martin Alexander Kennedy, Christine Mant, Rahul Nath, Graham R.V. Hughes, K. S. Raju and John W. Cason. Their work appears in journals such as Pathology, Journal of Inherited Metabolic Disease, Biomolecules, Current Microbiology and Xenobiotica.

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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