Tim Self
Impact in
- Sensory Systems top 1%
- Hearing, Cochlea, Tinnitus, Genetics
- Microbiology top 2%
- Bacterial Infections and Vaccines
Papers in
-
- Pluripotent Stem Cells Research 3
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 3
- Congenital heart defects research 2
- RNA Research and Splicing 2
-
- Bacterial Infections and Vaccines 3
- Co-authors
- Shaunta’ M. Ray (1 shared paper)Christopher K. Finch (1 shared paper)Karen P. Steel (3 shared papers)Stephen J. Hill (3 shared papers)M.C. Mahony (2 shared papers)James Walsh (2 shared papers)Jane Fleming (1 shared paper)Chris Denning (3 shared papers)
- Journals
- The Journal of Pathology (2 papers)Open Biology (2 papers)FEBS Letters (2 papers)Thrombosis and Haemostasis (1 paper)Molecular Therapy (1 paper)
- Partner nations
- United KingdomUnited StatesHungary
In The Last Decade
Tim Self
27 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 130
- Sensory Systems 329
- Microbiology 167
- Neurology 217
- Molecular Biology 1.1k
- Physiology 52
Countries citing papers authored by Tim Self
This map shows the geographic impact of Tim Self'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 Self with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Self more than expected).
Fields of papers citing papers by Tim Self
This network shows the impact of papers produced by Tim Self. 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 Self. The network helps show where Tim Self may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Self, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 337 | |
| 2 | 1998 | 258 | |
| 3 | 2009 | 250 | |
| 4 | 1999 | 228 | |
| 5 | 2007 | 183 | |
| 6 | 1992 | 158 | |
| 7 | 2009 | 107 | |
| 8 | 2005 | 75 | |
| 9 | 2004 | 57 | |
| 10 | 2010 | 54 | |
| 11 | 2014 | 49 | |
| 12 | 2010 | 43 | |
| 13 | 1991 | 40 | |
| 14 | 2013 | 37 | |
| 15 | 1991 | 36 | |
| 16 | 2021 | 36 | |
| 17 | 2013 | 34 | |
| 18 | 1988 | 29 | |
| 19 | 2005 | 23 | |
| 20 | 2011 | 23 |
About Tim Self
Tim Self is a scholar working on Molecular Biology, Microbiology, Infectious Diseases, Cellular and Molecular Neuroscience and Oncology, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (3 papers), Pluripotent Stem Cells Research (3 papers), Bacterial Infections and Vaccines (3 papers), RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers), Congenital heart defects research (2 papers), RNA Research and Splicing (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Sensory Systems (329 citations), Microbiology (167 citations), Neurology (217 citations), Molecular Biology (1.1k citations) and Physiology (52 citations). Tim Self has collaborated with scholars based in United Kingdom, United States and Hungary. Frequent co-authors include Shaunta’ M. Ray, Christopher K. Finch, Karen P. Steel, Stephen J. Hill, M.C. Mahony, James Walsh, Jane Fleming, Chris Denning, Steve D. M. Brown and D. N. Anderson. Their work appears in journals such as The Journal of Pathology, Open Biology, FEBS Letters, Thrombosis and Haemostasis and Molecular Therapy.
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.