Philip Tedder
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
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- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Animal Genetics and Reproduction
Papers in
-
- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 2
- Genetics 3
- Genomic variations and chromosomal abnormalities 2
- Co-authors
- Stephen A. Krawetz (1 shared paper)Klaus Steger (1 shared paper)Adrian E. Platts (1 shared paper)David Iles (1 shared paper)Martin H. Brinkworth (1 shared paper)Agnieszka Paradowska‐Gorycka (1 shared paper)David Miller (1 shared paper)David R. Westhead (4 shared papers)
- Journals
- Bioinformatics (3 papers)Genome Research (1 paper)The Plant Journal (1 paper)Trends in Parasitology (1 paper)RNA (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Philip Tedder
7 papers receiving 273 citations
Peers
Comparison fields: 5 of 41
- Reproductive Medicine 111
- Genetics 102
- Molecular Biology 198
- Public Health, Environmental and Occupational Health 75
- Pediatrics, Perinatology and Child Health 45
Countries citing papers authored by Philip Tedder
This map shows the geographic impact of Philip Tedder'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 Philip Tedder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Tedder more than expected).
Fields of papers citing papers by Philip Tedder
This network shows the impact of papers produced by Philip Tedder. 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 Philip Tedder. The network helps show where Philip Tedder may publish in the future.
Co-authors
The 21 scholars most cited alongside Philip Tedder, 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 | 2009 | 217 | |
| 2 | 2010 | 17 | |
| 3 | 2009 | 14 | |
| 4 | 2017 | 9 | |
| 5 | 2009 | 9 | |
| 6 | 2016 | 7 | |
| 7 | 2010 | 3 |
About Philip Tedder
Philip Tedder is a scholar working on Molecular Biology, Genetics, Cancer Research, Computational Theory and Mathematics and Public Health, Environmental and Occupational Health, having authored 7 papers that have together received 276 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Plant Molecular Biology Research (1 paper), Computational Drug Discovery Methods (1 paper) and Malaria Research and Control (1 paper). The work is most often cited by research in Reproductive Medicine (111 citations), Genetics (102 citations), Molecular Biology (198 citations), Public Health, Environmental and Occupational Health (75 citations) and Pediatrics, Perinatology and Child Health (45 citations). Philip Tedder has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Stephen A. Krawetz, Klaus Steger, Adrian E. Platts, David Iles, Martin H. Brinkworth, Agnieszka Paradowska‐Gorycka, David Miller, David R. Westhead, Andrew J. Bulpitt and James Bradford. Their work appears in journals such as Bioinformatics, Genome Research, The Plant Journal, Trends in Parasitology and RNA.
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.