John Pham

4.1k total citations · 1 hit paper
29 papers, 2.1k citations indexed

About

John Pham is a scholar working on Immunology and Allergy, Molecular Biology and Physiology. According to data from OpenAlex, John Pham has authored 29 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology and Allergy, 9 papers in Molecular Biology and 9 papers in Physiology. Recurrent topics in John Pham's work include Allergic Rhinitis and Sensitization (9 papers), Asthma and respiratory diseases (7 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). John Pham is often cited by papers focused on Allergic Rhinitis and Sensitization (9 papers), Asthma and respiratory diseases (7 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). John Pham collaborates with scholars based in United States, Australia and Italy. John Pham's co-authors include Erik J. Sontheimer, Richard W. Carthew, Young Sik Lee, Kenji Nakahara, Zhengying He, Kevin Kim, Young Sik Lee, Alessandro Sette, Bjoern Peters and April Frazier and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

John Pham

28 papers receiving 2.0k citations

Hit Papers

Distinct Roles for Drosophila Dicer-1 and Dicer-2 in the ... 2004 2026 2011 2018 2004 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Pham United States 15 1.4k 505 322 289 251 29 2.1k
Ramón Vidal Germany 25 1.1k 0.8× 169 0.3× 249 0.8× 177 0.6× 131 0.5× 47 1.8k
Xinhua Lee United States 19 1.7k 1.2× 227 0.4× 535 1.7× 368 1.3× 360 1.4× 22 3.6k
Manabu Nakayama Japan 37 2.5k 1.8× 226 0.4× 189 0.6× 1.1k 3.8× 86 0.3× 100 4.2k
Pavlina Konstantinova Netherlands 27 1.7k 1.3× 480 1.0× 300 0.9× 78 0.3× 45 0.2× 51 2.4k
Chikdu Shivalila United States 9 4.5k 3.3× 173 0.3× 352 1.1× 238 0.8× 65 0.3× 14 5.0k
Simran Kaur United States 22 899 0.7× 284 0.6× 60 0.2× 67 0.2× 59 0.2× 35 1.5k
Jason R. Kennerdell United States 11 1.6k 1.2× 299 0.6× 349 1.1× 211 0.7× 20 0.1× 15 2.0k
Liangxue Lai China 35 3.3k 2.4× 283 0.6× 133 0.4× 106 0.4× 66 0.3× 136 4.0k
Eric G. Moss United States 26 3.6k 2.7× 2.3k 4.5× 352 1.1× 160 0.6× 39 0.2× 34 4.6k
Yanyan Qi United States 20 1.2k 0.9× 329 0.7× 86 0.3× 1.1k 3.9× 71 0.3× 31 2.7k

Countries citing papers authored by John Pham

Since Specialization
Citations

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

Fields of papers citing papers by John Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Pham

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

All Works

20 of 20 papers shown
1.
Pham, John, et al.. (2024). Leveraging large-scale datasets and single cell omics data to develop a polygenic score for cisplatin-induced ototoxicity. Human Genomics. 18(1). 112–112. 2 indexed citations
2.
Dhanwani, Rekha, John Pham, Gregory P. Williams, et al.. (2022). Transcriptional analysis of peripheral memory T cells reveals Parkinson’s disease-specific gene signatures. npj Parkinson s Disease. 8(1). 30–30. 25 indexed citations
3.
Yu, Esther Dawen, Eric Wang, Aaron Sutherland, et al.. (2022). Ex vivo assays show human gamma-delta T cells specific for common allergens are Th1-polarized in allergic donors. Cell Reports Methods. 2(12). 100350–100350. 5 indexed citations
4.
Singhania, Akul, John Pham, Rekha Dhanwani, et al.. (2021). The TCR repertoire of α-synuclein-specific T cells in Parkinson’s disease is surprisingly diverse. Scientific Reports. 11(1). 302–302. 25 indexed citations
5.
Schouest, Blake, Alba Grifoni, John Pham, et al.. (2021). Pre-existing T Cell Memory against Zika Virus. Journal of Virology. 95(12). 19 indexed citations
6.
Arlehamn, Cecilia S. Lindestam, Rekha Dhanwani, John Pham, et al.. (2020). α-Synuclein-specific T cell reactivity is associated with preclinical and early Parkinson’s disease. Nature Communications. 11(1). 1875–1875. 288 indexed citations
7.
Dhanwani, Rekha, John Pham, Ashmitaa Logandha Ramamoorthy Premlal, et al.. (2020). T Cell Responses to Neural Autoantigens Are Similar in Alzheimer’s Disease Patients and Age-Matched Healthy Controls. Frontiers in Neuroscience. 14. 874–874. 13 indexed citations
8.
Arlehamn, Cecilia S. Lindestam, John Pham, Roy N. Alcalay, et al.. (2019). Widespread Tau-Specific CD4 T Cell Reactivity in the General Population. The Journal of Immunology. 203(1). 84–92. 30 indexed citations
9.
Grifoni, Alba, Ricardo da Silva Antunes, John Pham, et al.. (2019). Characterization and epitope identification of the T cell response in non-allergic individuals exposed to mouse allergen. World Allergy Organization Journal. 12(4). 100026–100026. 8 indexed citations
10.
Grifoni, Alba, Daniela Weiskopf, Véronique Schulten, et al.. (2018). Sequence-based HLA-A, B, C, DP, DQ, and DR typing of 496 adults from San Diego, California, USA. Human Immunology. 79(12). 821–822. 11 indexed citations
12.
Antunes, Ricardo da Silva, John Pham, Curtis McMurtrey, et al.. (2018). Urinary Peptides As a Novel Source of T Cell Allergen Epitopes. Frontiers in Immunology. 9. 886–886. 12 indexed citations
13.
Tripple, Victoria, John Pham, Monali Manohar, et al.. (2018). Peanut-specific T cell responses in patients with different clinical reactivity. PLoS ONE. 13(10). e0204620–e0204620. 19 indexed citations
14.
Pham, John, et al.. (2018). 292: COMPUTER-BASED VERSUS PAPER-BASED INSULIN INFUSION ALGORITHMS FOR CRITICALLY ILL PATIENTS. Critical Care Medicine. 47(1). 127–127. 1 indexed citations
15.
Oseroff, Carla, John Pham, April Frazier, et al.. (2016). Immunodominance in allergic T-cell reactivity to Japanese cedar in different geographic cohorts. Annals of Allergy Asthma & Immunology. 117(6). 680–689.e1. 6 indexed citations
16.
Rao, Manjeet K., John Pham, J. Saadi Imam, et al.. (2006). Tissue-specific RNAi reveals that WT1 expression in nurse cells controls germ cell survival and spermatogenesis. Genes & Development. 20(2). 147–152. 98 indexed citations
17.
Pham, John & Erik J. Sontheimer. (2005). Molecular Requirements for RNA-induced Silencing Complex Assembly in the Drosophila RNA Interference Pathway. Journal of Biological Chemistry. 280(47). 39278–39283. 54 indexed citations
18.
Pham, John & Erik J. Sontheimer. (2005). Separation of <I>Drosophila</I> RNA Silencing Complexes by Native Gel Electrophoresis. Humana Press eBooks. 309. 11–16. 3 indexed citations
19.
Lee, Young Sik, Kenji Nakahara, John Pham, et al.. (2004). Distinct Roles for Drosophila Dicer-1 and Dicer-2 in the siRNA/miRNA Silencing Pathways. Cell. 117(1). 69–81. 1002 indexed citations breakdown →
20.
Pham, John, et al.. (2004). A Dicer-2-Dependent 80S Complex Cleaves Targeted mRNAs during RNAi in Drosophila. Cell. 117(1). 83–94. 328 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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