Ian Goodhead
Impact in
- Endocrinology top 2%
- Microbiology top 2%
Papers in
-
- Genomics and Phylogenetic Studies 8
- Ecology 11
- Bacteriophages and microbial interactions 7
- Co-authors
- Brian T. Wilhelm (2 shared papers)Samuel Marguerat (2 shared papers)Jürg Bähler (2 shared papers)Valerie Wood (1 shared paper)Falk Schubert (1 shared paper)Christopher J. Penkett (1 shared paper)Jane Rogers (1 shared paper)Stephen Watt (1 shared paper)
- Journals
- Nature Communications (2 papers)Molecular Microbiology (2 papers)PLoS neglected tropical diseases (2 papers)Veterinary Research Communications (1 paper)Scientific Reports (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Ian Goodhead
29 papers receiving 2.5k citations
Ian Goodhead's Hit Papers
Peers
Comparison fields: 5 of 140
- Endocrinology 242
- Microbiology 179
- Cancer Research 358
- Food Science 379
- Molecular Medicine 93
Countries citing papers authored by Ian Goodhead
This map shows the geographic impact of Ian Goodhead'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 Ian Goodhead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Goodhead more than expected).
Fields of papers citing papers by Ian Goodhead
This network shows the impact of papers produced by Ian Goodhead. 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 Ian Goodhead. The network helps show where Ian Goodhead may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Goodhead, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dynamic repertoire of a eukaryotic transcriptome surveyed at single-nucleotide resolution Hit paper breakdown → | 2008 | 760 |
| 2 | 2008 | 363 | |
| 3 | Correction: Corrigendum: Long non-coding RNAs and enhancer RNAs regulate the lipopolysaccharide-induced inflammatory response in human monocytes Hit paper breakdown → | 2015 | 322 |
| 4 | 2008 | 263 | |
| 5 | 2007 | 167 | |
| 6 | 2004 | 144 | |
| 7 | 2010 | 61 | |
| 8 | 2014 | 54 | |
| 9 | 2007 | 50 | |
| 10 | 2017 | 43 | |
| 11 | 2013 | 42 | |
| 12 | 2019 | 42 | |
| 13 | 2015 | 27 | |
| 14 | 2018 | 26 | |
| 15 | 2007 | 21 | |
| 16 | 2019 | 19 | |
| 17 | 2022 | 16 | |
| 18 | 2022 | 15 | |
| 19 | 2011 | 14 | |
| 20 | 2020 | 13 |
About Ian Goodhead
Ian Goodhead is a scholar working on Molecular Biology, Ecology, Genetics, Epidemiology and Food Science, having authored 31 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Bacteriophages and microbial interactions (7 papers), Insect symbiosis and bacterial influences (4 papers), Bacterial Genetics and Biotechnology (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Primate Behavior and Ecology (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Trypanosoma species research and implications (3 papers). The work is most often cited by research in Endocrinology (242 citations), Microbiology (179 citations), Cancer Research (358 citations), Food Science (379 citations) and Molecular Medicine (93 citations). Ian Goodhead has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Brian T. Wilhelm, Samuel Marguerat, Jürg Bähler, Valerie Wood, Falk Schubert, Christopher J. Penkett, Jane Rogers, Stephen Watt, Richard Rance and Julian Parkhill. Their work appears in journals such as Nature Communications, Molecular Microbiology, PLoS neglected tropical diseases, Veterinary Research Communications and Scientific Reports.
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.