Phuongan Dam

1.1k citations
18 papers · 873 indexed · h-index 12
Topics
Genomics and Phylogenetic Studies (12 papers)RNA and protein synthesis mechanisms (7 papers)Machine Learning in Bioinformatics (5 papers)
Partner nations
United StatesChinaIndia

In The Last Decade

Phuongan Dam

18 papers receiving 858 citations

Peers

Phuongan Dam
Comparison fields: 5 of 80
  • Molecular Biology 647
  • Biomedical Engineering 258
  • Genetics 153
  • Biotechnology 135
  • Ecology 119
Replace Oliver Pennington with:
Oliver Pennington United Kingdom
Lydia M. Contreras United States
Alexandra Friedrich Germany
Karina Brinkrolf Germany
Muhammad Ehsaan United Kingdom
Elleke F. Bosma Denmark
Mostafa Motallebi Iran
Carlotta Ronda United States
Alexander S. Solonin Russia
Phuongan Dam relative to Oliver Pennington United Kingdom Oliver Pennington's profile →
Citations per field
00.5×1.7×
Oliver Pennington · 1×
Citations per year

Countries citing papers authored by Phuongan Dam

Since Specialization
Citations

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

Fields of papers citing papers by Phuongan Dam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phuongan Dam

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 53
2 85
3 21
4 3
5 17
6 92
7 66
8 289
9 129
10 27
11 1
12 1
13 27
14 3
15 3
16
Computational inference of regulatory pathways in microbes: an application to phosphorus assimilation pathways in Synechococcus sp. WH8102.
17
17 36
18 3

About Phuongan Dam

Phuongan Dam is a scholar working on Molecular Biology, Genetics and Reproductive Medicine, having authored 18 papers that have together received 873 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), RNA and protein synthesis mechanisms (7 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Biotechnology (135 citations), Molecular Biology (647 citations) and Endocrinology (39 citations). Phuongan Dam has collaborated with scholars based in United States, China and India. Frequent co-authors include Ying Xu, Victor Olman, Fenglou Mao, Zhengchang Su, Kyle Harris, Yanbin Yin, Michael W. W. Adams, Irina Kataeva, Janet Westpheling and Sungjae Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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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