Phillip Pham

1.0k citations
17 papers · 454 · h-index 10

Impact in

  • Aging top 10%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock

Papers in

    • RNA and protein synthesis mechanisms 4
    • RNA Research and Splicing 3
    • RNA modifications and cancer 3
    • Bioinformatics and Genomic Networks 3
    • Genetic Associations and Epidemiology 4
    • Genomics and Rare Diseases 4

Phillip Pham

15 papers receiving 451 citations

Peers

Phillip Pham
Comparison fields: 5 of 88
  • Aging 29
  • Genetics 175
  • Sensory Systems 20
  • Structural Biology 5
  • Molecular Biology 243
Replace Debra Brooker with:
Debra Brooker United Kingdom
Alfred Tamayo United States
Kiran Padmanabhan France
Katerina S. Kucera United States
Elliott Ferris United States
Laura Lande‐Diner Israel
Yongxia Huo China
Akitsugu Sato Japan
Sean Chen United States
Beena M. Kadakkuzha United States
Phillip Pham relative to Debra Brooker United Kingdom Debra Brooker's profile →
Citations per field
00.5×6.3×
Debra Brooker · 1×
Citations per year

Countries citing papers authored by Phillip Pham

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Phillip Pham, 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 Pham Line = papers co-authored together Phillip Pham links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2013190
2 202372
3 201241
4 202337
5 201327
6 201223
7 201520
8 201510
9 202210
10 20239
11 20148
12 20234
13 20241
14 20151
15 20251
16 20230
17 20220

About Phillip Pham

Phillip Pham is a scholar working on Molecular Biology, Genetics, Ecology, Hematology and Genetics, having authored 17 papers that have together received 454 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Rare Diseases (4 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), Bioinformatics and Genomic Networks (3 papers), Microbial Community Ecology and Physiology (2 papers) and Recycling and Waste Management Techniques (1 paper). The work is most often cited by research in Aging (29 citations), Genetics (175 citations), Sensory Systems (20 citations), Structural Biology (5 citations) and Molecular Biology (243 citations). Phillip Pham has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nicholas J. Schork, Ali Torkamani, Patrick F. Sullivan, Helena Furberg, John R. Kelsoe, Ole A. Andreassen, J. Cooper Roddey, Anders M. Dale, Michael O’Donovan and Andrew J. Schork. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Frontiers in Genetics, Frontiers in Microbiology, Gene and Multisensory Research.

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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