D. T. W. CHU

1.1k citations
27 papers · 896 indexed · h-index 15
Topics
Cancer therapeutics and mechanisms (14 papers)Antibiotics Pharmacokinetics and Efficacy (12 papers)Antibiotic Resistance in Bacteria (9 papers)

In The Last Decade

D. T. W. CHU

24 papers receiving 802 citations

Peers

D. T. W. CHU
Comparison fields: 5 of 91
  • Molecular Biology 404
  • Pharmacology 399
  • Molecular Medicine 237
  • Organic Chemistry 214
  • Epidemiology 127
Replace Kaushiki Mazumdar with:
Kaushiki Mazumdar India
Abdallah Mahamoud France
ISAMU SAIKAWA Japan
Oludotun A. Phillips Kuwait
A. Kathrine Miller United States
Mahesh Patel India
Kamaleddin H. M. E. Tehrani Netherlands
Jean S. Kahan United States
Akash Jain India
Annamária Kincses Hungary
D. T. W. CHU relative to Kaushiki Mazumdar India Kaushiki Mazumdar's profile →
Citations per field
00.5×1.5×1.8×
Kaushiki Mazumdar · 1×
Citations per year

Countries citing papers authored by D. T. W. CHU

Since Specialization
Citations

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

Fields of papers citing papers by D. T. W. CHU

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. T. W. CHU. 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 D. T. W. CHU. The network helps show where D. T. W. CHU may publish in the future.

Co-authorship network of co-authors of D. T. W. CHU

This figure shows the co-authorship network connecting the top 25 collaborators of D. T. W. CHU. A scholar is included among the top collaborators of D. T. W. CHU 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 D. T. W. CHU. D. T. W. CHU 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
#WorkIndexed citations
1 0
2 1
3 4
4 7
5 87
6 40
7 11
8 32
9 71
10 31
11 51
12 2
13
Synthesis and biological properties of A-71497: a prodrug of tosufloxacin.
3
14 247
15 26
16
Structure-activity relationships in quinolone antibacterials: design, synthesis and biological activities of novel isothiazoloquinolones.
29
17 96
18 1
19 48
20 1

About D. T. W. CHU

D. T. W. CHU is a scholar working on Molecular Medicine, Pharmacology and Process Chemistry and Technology, having authored 27 papers that have together received 896 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (14 papers), Antibiotics Pharmacokinetics and Efficacy (12 papers) and Antibiotic Resistance in Bacteria (9 papers). The work is most often cited by research in Molecular Medicine (237 citations), Pharmacology (399 citations) and Toxicology (50 citations). D. T. W. CHU has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Prabhavathi Fernandes, N Ramer, C W Hanson, R. N. Swanson, Dwight J. Hardy, Robert R. Bower, Linus L. Shen, Dena M. Hensey, D. Howard Miles and Elena A. Goun. Their work appears in journals such as Journal of Medicinal Chemistry, Antimicrobial Agents and Chemotherapy and Green Chemistry.

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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