Deborah K. Ngan

562 citations
14 papers · 324 indexed · h-index 7
Topics
Computational Drug Discovery Methods (9 papers)Pharmacogenetics and Drug Metabolism (6 papers)Mosquito-borne diseases and control (2 papers)
Partner nations
United StatesChina

In The Last Decade

Deborah K. Ngan

12 papers receiving 323 citations

Peers

Deborah K. Ngan
Comparison fields: 5 of 82
  • Molecular Biology 160
  • Computational Theory and Mathematics 89
  • Immunology 62
  • Infectious Diseases 42
  • Cancer Research 34
Replace Gregory Koytiger with:
Gregory Koytiger Israel
Umesh Hanumegowda United States
Raymond J. Gonzalez United States
Shen-Jue Chen United States
Hong Ni United States
Marnie A. Higgins United States
Kiyean Nam United States
Lydia Aschauer Austria
Simon J. Larsen Denmark
Ewa Nilsson Sweden
Deborah K. Ngan relative to Gregory Koytiger Israel Gregory Koytiger's profile →
Citations per field
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Gregory Koytiger · 1×
Citations per year

Countries citing papers authored by Deborah K. Ngan

Since Specialization
Citations

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

Fields of papers citing papers by Deborah K. Ngan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah K. Ngan. 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 Deborah K. Ngan. The network helps show where Deborah K. Ngan may publish in the future.

Co-authorship network of co-authors of Deborah K. Ngan

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 3
5 2
6 5
7 9
8 22
9 12
10 23
11 24
12 41
13 176
14 6

About Deborah K. Ngan

Deborah K. Ngan is a scholar working on Pharmacology, Computational Theory and Mathematics and Small Animals, having authored 14 papers that have together received 324 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Computational Theory and Mathematics (89 citations), Pharmacology (31 citations) and Immunology (62 citations). Deborah K. Ngan has collaborated with scholars based in United States and China. Frequent co-authors include Ruili Huang, Anton Simeonov, Tongan Zhao, Noel Southall, Christopher P. Austin, Yuhong Wang, John C. Obenauer, Ivan Grishagin, Ðắc-Trung Nguyễn and Rajarshi Guha. Their work appears in journals such as Scientific Reports, Drug Discovery Today and Toxicology and Applied Pharmacology.

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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