Tim Littlejohn
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 2%
- Antimicrobial Resistance in Staphylococcus
Papers in
-
- Bacterial biofilms and quorum sensing 4
- Fungal and yeast genetics research 2
- Genomics and Phylogenetic Studies 2
- RNA and protein synthesis mechanisms 2
- Genetics 7
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Ronald A. Skurray (7 shared papers)Ian T. Paulsen (5 shared papers)David S. Cram (1 shared paper)Duncan A. Rouch (1 shared paper)Melissa H. Brown (1 shared paper)Jan M. Tennent (2 shared papers)Ola Sköld (1 shared paper)Peter Rådström (1 shared paper)
- Journals
- Gene (2 papers)Nature Biotechnology (1 paper)Journal of Medical Microbiology (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- AustraliaUnited KingdomCanada
In The Last Decade
Tim Littlejohn
15 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 85
- Molecular Medicine 653
- Infectious Diseases 515
- Endocrinology 128
- Microbiology 150
- Pollution 189
Countries citing papers authored by Tim Littlejohn
This map shows the geographic impact of Tim Littlejohn'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 Tim Littlejohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Littlejohn more than expected).
Fields of papers citing papers by Tim Littlejohn
This network shows the impact of papers produced by Tim Littlejohn. 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 Tim Littlejohn. The network helps show where Tim Littlejohn may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Littlejohn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 288 | |
| 2 | 1990 | 273 | |
| 3 | 1996 | 260 | |
| 4 | 1992 | 180 | |
| 5 | 1994 | 143 | |
| 6 | 1991 | 139 | |
| 7 | 1992 | 131 | |
| 8 | 2001 | 112 | |
| 9 | 2000 | 95 | |
| 10 | 1988 | 54 | |
| 11 | 1992 | 48 | |
| 12 | 1994 | 43 | |
| 13 | 1999 | 13 | |
| 14 | 2008 | 5 | |
| 15 | 2002 | 2 |
About Tim Littlejohn
Tim Littlejohn is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Molecular Medicine and Ecology, having authored 15 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial biofilms and quorum sensing (4 papers), Antibiotic Resistance in Bacteria (3 papers), Fungal and yeast genetics research (2 papers), Genomics and Phylogenetic Studies (2 papers), Microbial Metabolism and Applications (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Medicine (653 citations), Infectious Diseases (515 citations), Endocrinology (128 citations), Microbiology (150 citations) and Pollution (189 citations). Tim Littlejohn has collaborated with scholars based in Australia, United Kingdom and Canada. Frequent co-authors include Ronald A. Skurray, Ian T. Paulsen, David S. Cram, Duncan A. Rouch, Melissa H. Brown, Jan M. Tennent, Ola Sköld, Peter Rådström, Göte Swedberg and Lars Sundström. Their work appears in journals such as Gene, Nature Biotechnology, Journal of Medical Microbiology, Antimicrobial Agents and Chemotherapy and PLoS Computational Biology.
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.