Phillip H. Pham

1.1k citations
18 papers · 752 · h-index 11

Impact in

  • Aging top 10%
  • Genetics top 10%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Genomics and Rare Diseases 3
    • Genetic Associations and Epidemiology 3
    • RNA and protein synthesis mechanisms 5
    • RNA modifications and cancer 4
    • RNA Research and Splicing 3
    • Genomics and Phylogenetic Studies 2
    • Bioinformatics and Genomic Networks 2
    • Epigenetics and DNA Methylation 2

Phillip H. Pham

18 papers receiving 744 citations

Peers

Phillip H. Pham
Comparison fields: 5 of 99
  • Aging 30
  • Genetics 224
  • Molecular Biology 333
  • Biological Psychiatry 11
  • Structural Biology 7
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Archana Tare United States
Loredana Verdone Italy
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Didier Hentsch France
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Zixuan He China
Weihua Zhang China
Elias Pavlopoulos United States
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Citations per field
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Citations per year

Countries citing papers authored by Phillip H. Pham

Since Specialization
Citations

This map shows the geographic impact of Phillip H. 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 H. 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 H. Pham more than expected).

Fields of papers citing papers by Phillip H. Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2013232
2 2014106
3 202394
4 201367
5 201249
6 202343
7 202436
8 201329
9 201223
10 201523
11 202212
12 201410
13 201510
14 202310
15 20244
16 20252
17 20151
18 20221

About Phillip H. Pham

Phillip H. Pham is a scholar working on Genetics, Molecular Biology, Aging, Sensory Systems and Waste Management and Disposal, having authored 18 papers that have together received 752 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), Genomics and Rare Diseases (3 papers), Genetic Associations and Epidemiology (3 papers), Genomics and Phylogenetic Studies (2 papers), Bioinformatics and Genomic Networks (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Aging (30 citations), Genetics (224 citations), Molecular Biology (333 citations), Biological Psychiatry (11 citations) and Structural Biology (7 citations). Phillip H. Pham has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Nicholas J. Schork, Ali Torkamani, J. Cooper Roddey, Patrick F Sullivan, Ole A. Andreassen, Michael C. O’Donovan, John R. Kelsoe, Andrew Joseph Schork, Wesley Kurt Thompson and Helena Furberg. Their work appears in journals such as Frontiers in Genetics, Proteins Structure Function and Bioinformatics, Gene, Multisensory Research and Molecular Psychiatry.

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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