Ken Duncan

51 papers receiving 4.6k citations

Hit Papers

Hit and lead criteria in drug discovery for infectious diseases of the developing world 2015 · 431 citations
4310+8+16Years since publication2505007501000

Peers

Ken Duncan
Comparison fields: 5 of 121
  • Infectious Diseases 3.0k
  • Molecular Medicine 524
  • Epidemiology 2.4k
  • Molecular Biology 1.9k
  • Toxicology 90
Replace Anil Koul with:
Anil Koul Belgium
Anne J. Lenaerts United States
Richard A. Slayden United States
James C. Sacchettini United States
Kévin Pethe Singapore
Khisimuzi Mdluli United States
Valerie Mizrahi South Africa
Tanya Parish United States
Michael H. Cynamon United States
Thomas Dick Singapore
Ken Duncan relative to Anil Koul Belgium Anil Koul's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ken Duncan

Since Specialization
Citations

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

Fields of papers citing papers by Ken Duncan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluation of a nutrient starvation model of Mycobacterium tuberculosis persistence by gene and protein expression profiling
Hit paper breakdown →
20021140
2
Hit and lead criteria in drug discovery for infectious diseases of the developing world
Hit paper breakdown →
2015431
3 2008246
4 2005219
5 2012169
6 2005161
7 2007139
8 2002130
9 2001125
10 2003120
11 2004114
12 1999111
13 2004109
14 2007107
15 2002106
16 1999100
17 199896
18 199593
19
Baseline sputum time to detection predicts month two culture conversion and relapse in non-HIV-infected patients.
201092
20 200075

About Ken Duncan

Ken Duncan is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Surgery and Molecular Medicine, having authored 52 papers that have together received 4.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (40 papers), Mycobacterium research and diagnosis (31 papers), Cancer therapeutics and mechanisms (6 papers), Infectious Diseases and Tuberculosis (6 papers), Antibiotic Resistance in Bacteria (5 papers), vaccines and immunoinformatics approaches (5 papers), Computational Drug Discovery Methods (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Infectious Diseases (3.0k citations), Molecular Medicine (524 citations), Epidemiology (2.4k citations), Molecular Biology (1.9k citations) and Toxicology (90 citations). Ken Duncan has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Pauline T. Lukey, Joanna Betts, Ruth A. McAdam, Clifton E. Barry, Douglas B. Young, Paul D. van Helden, Mark D. Perkins, Tanya Parish, Neil G. Stoker and Jeremy N. Burrows. Their work appears in journals such as Microbiology, Tuberculosis, Antimicrobial Agents and Chemotherapy, Expert Opinion on Therapeutic Patents and The Journal of Infectious Diseases.

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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