DAVID J. C. KNOWLES

1.8k citations
27 papers · 750 indexed · h-index 13
Topics
Antibiotic Resistance in Bacteria (7 papers)Microbial Natural Products and Biosynthesis (4 papers)Antimicrobial Resistance in Staphylococcus (3 papers)

In The Last Decade

DAVID J. C. KNOWLES

27 papers receiving 674 citations

Peers

DAVID J. C. KNOWLES
Comparison fields: 5 of 88
  • Molecular Biology 254
  • Molecular Medicine 224
  • Pharmacology 181
  • Infectious Diseases 154
  • Organic Chemistry 119
Replace M. Yu. Rubtsova with:
M. Yu. Rubtsova Russia
Gerald H. Wagman United States
Rajnikant Sharma United States
Seigo Suzue Japan
Pei W. Thomas United States
Jacques Barbe France
Timothy R. Kane Canada
JOSEPH A. MARQUEZ United States
Rex E. Hornish United States
Qing Wu China
DAVID J. C. KNOWLES relative to M. Yu. Rubtsova Russia M. Yu. Rubtsova's profile →
Citations per field
00.5×2.8×
M. Yu. Rubtsova · 1×
Citations per year

Countries citing papers authored by DAVID J. C. KNOWLES

Since Specialization
Citations

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

Fields of papers citing papers by DAVID J. C. KNOWLES

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by DAVID J. C. KNOWLES. 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 DAVID J. C. KNOWLES. The network helps show where DAVID J. C. KNOWLES may publish in the future.

Co-authorship network of co-authors of DAVID J. C. KNOWLES

This figure shows the co-authorship network connecting the top 25 collaborators of DAVID J. C. KNOWLES. A scholar is included among the top collaborators of DAVID J. C. KNOWLES 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 DAVID J. C. KNOWLES. DAVID J. C. KNOWLES 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 1
2 2
3 14
4 46
5 209
6 7
7 32
8 2
9 5
10 12
11 8
12 9
13 15
14 10
15 22
16 46
17 7
18 24
19 41
20 4

About DAVID J. C. KNOWLES

DAVID J. C. KNOWLES is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Endocrinology, having authored 27 papers that have together received 750 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Microbial Natural Products and Biosynthesis (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Molecular Medicine (224 citations), Applied Microbiology and Biotechnology (43 citations) and Pharmacology (181 citations). DAVID J. C. KNOWLES has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include M.N. Gwynn, D. H. Williams, Daniel A. Beauregard, David Payne, Rebecca Cramp, Matthew Carlile, Alan Townshend, S.L. Bogdanski, R. Belcher and Valerie M. Good. Their work appears in journals such as Analytical Chemistry, Biochemical Journal and Antimicrobial Agents and Chemotherapy.

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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