Ryan T. Phan

3.4k citations
21 papers · 2.5k · 2 hit papers · h-index 11

Impact in

Papers in

Ryan T. Phan

21 papers receiving 2.4k citations

Ryan T. Phan's Hit Papers

NAST: a multiple sequence alignment server for comparative analysis of 16S rRNA genes 2006 · 879 citations
8790+7+14Years since publication250500750

Peers

Ryan T. Phan
Comparison fields: 5 of 126
  • Immunology 822
  • Pathology and Forensic Medicine 317
  • Genetics 184
  • Oncology 440
  • Molecular Biology 1.1k
Replace Charles T. Lutz with:
Charles T. Lutz United States
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Ryan T. Phan relative to Charles T. Lutz United States Charles T. Lutz's profile →
Citations per field
00.5×1.5×2.3×
Charles T. Lutz · 1×
Citations per year

Countries citing papers authored by Ryan T. Phan

Since Specialization
Citations

This map shows the geographic impact of Ryan T. Phan'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 Ryan T. Phan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Phan more than expected).

Fields of papers citing papers by Ryan T. Phan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan T. Phan. 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 Ryan T. Phan. The network helps show where Ryan T. Phan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NAST: a multiple sequence alignment server for comparative analysis of 16S rRNA genes
Hit paper breakdown →
2006879
2
The BCL6 proto-oncogene suppresses p53 expression in germinal-centre B cells
Hit paper breakdown →
2004515
3 2012341
4 2005273
5 2007195
6 200975
7 200771
8 201931
9 201526
10 200719
11 201517
12 20049
13 20229
14 20238
15 20133
16 20143
17 20052
18 20241
19 20101
20 20231

About Ryan T. Phan

Ryan T. Phan is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Immunology and Reproductive Medicine, having authored 21 papers that have together received 2.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Ovarian cancer diagnosis and treatment (4 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related Molecular Pathways (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cell death mechanisms and regulation (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (822 citations), Pathology and Forensic Medicine (317 citations), Genetics (184 citations), Oncology (440 citations) and Molecular Biology (1.1k citations). Ryan T. Phan has collaborated with scholars based in United States. Frequent co-authors include Riccardo Dalla‐Favera, Masumichi Saito, Yvette M. Piceno, Todd Z. DeSantis, Gary L. Andersen, Philip Hugenholtz, N. Agersnap Larsen, Eoin Brodie, Keith Keller and Huifeng Niu. Their work appears in journals such as Blood, Nature Immunology, Frontiers in Medicine, BMC Cancer and Journal of Clinical 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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