Tim Littlejohn
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
Papers in
-
- Bacterial biofilms and quorum sensing 4
- Genomics and Phylogenetic Studies 2
- RNA and protein synthesis mechanisms 2
- Fungal and yeast genetics research 2
- Genetics 7
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Ronald A. Skurray (7 shared papers)Ian T. Paulsen (5 shared papers)Duncan A. Rouch (1 shared paper)David S. Cram (1 shared paper)Melissa H. Brown (1 shared paper)Jan M. Tennent (2 shared papers)Göte Swedberg (1 shared paper)Peter Rådström (1 shared paper)
- Journals
- Gene (2 papers)Molecular Microbiology (1 paper)PLoS Computational Biology (1 paper)Human Mutation (1 paper)Vaccine (1 paper)
- Partner nations
- AustraliaUnited KingdomCanada
In The Last Decade
Tim Littlejohn
14 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 80
- Molecular Medicine 634
- Infectious Diseases 521
- Endocrinology 133
- Microbiology 148
- Pollution 166
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 | 275 | |
| 2 | 1990 | 261 | |
| 3 | 1996 | 237 | |
| 4 | 1992 | 163 | |
| 5 | 1994 | 134 | |
| 6 | 1991 | 130 | |
| 7 | 1992 | 119 | |
| 8 | 2001 | 103 | |
| 9 | 2000 | 91 | |
| 10 | 1988 | 46 | |
| 11 | 1992 | 44 | |
| 12 | 1994 | 39 | |
| 13 | 1999 | 12 | |
| 14 | 2008 | 5 | |
| 15 | 2002 | 1 |
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 1.7k 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), Genomics and Phylogenetic Studies (2 papers), RNA and protein synthesis mechanisms (2 papers), Microbial Metabolism and Applications (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Molecular Medicine (634 citations), Infectious Diseases (521 citations), Endocrinology (133 citations), Microbiology (148 citations) and Pollution (166 citations). Tim Littlejohn has collaborated with scholars based in Australia, United Kingdom and Canada. Frequent co-authors include Ronald A. Skurray, Ian T. Paulsen, Duncan A. Rouch, David S. Cram, Melissa H. Brown, Jan M. Tennent, Göte Swedberg, Peter Rådström, Ola Sköld and Lars Sundström. Their work appears in journals such as Gene, Molecular Microbiology, PLoS Computational Biology, Human Mutation and Vaccine.
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.