Tramy Nguyen

1.0k citations
15 papers · 290 indexed · h-index 11

Tramy Nguyen

15 papers receiving 288 citations

Peers

Tramy Nguyen
Comparison fields: 5 of 27
  • Information Systems and Management 41
  • Molecular Biology 277
  • Biophysics 23
  • Genetics 29
  • Artificial Intelligence 20
Replace Zach Zundel with:
Zach Zundel United States
James Alastair McLaughlin United Kingdom
Curtis Madsen United States
Allegra Via United Kingdom
Kimberly Begley United Kingdom
Derek Houghton United Kingdom
Tung V. N. Nguyen United Kingdom
Hector Plahar United States
Florent Yvon United Kingdom
Timo Lubitz Germany
Tramy Nguyen relative to Zach Zundel United States Zach Zundel's profile →
Citations per field
00.5×1.5×2.1×
Zach Zundel · 1×
Citations per year

Countries citing papers authored by Tramy Nguyen

Since Specialization
Citations

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

Fields of papers citing papers by Tramy Nguyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20226
2 20212
3 201910
4 201851
5 201811
6 201825
7 201726
8 201659
9 201522
10
BBF RFC 108: Synthetic Biology Open Language (SBOL) Version 2.0.0
20151
11 201513
12 201522
13 201523
14 201518
15
Packing Transitions of Lennard Jones fluids in carbon slit pores
20021

About Tramy Nguyen

Tramy Nguyen is a scholar working on Information Systems and Management, Molecular Biology and Statistical and Nonlinear Physics, having authored 15 papers that have together received 290 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (13 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Bioinformatics and Genomic Networks (5 papers), CRISPR and Genetic Engineering (2 papers), RNA and protein synthesis mechanisms (2 papers), Scientific Computing and Data Management (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Information Systems and Management (41 citations), Molecular Biology (277 citations) and Biophysics (23 citations). Tramy Nguyen has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Chris J. Myers, Nicholas Roehner, Zach Zundel, Curtis Madsen, Anil Wipat, Göksel Mısırlı, Michael Zhang, Ernst Oberortner, Jacob Beal and Bryan Bartley. Their work appears in journals such as Proceedings of the IEEE, Biochemical Society Transactions and ACS Synthetic Biology.

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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