Kim Rutherford
Impact in
- Endocrinology top 0.5%
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Bioinformatics and Genomic Networks 10
- Genomics and Phylogenetic Studies 10
- Fungal and yeast genetics research 7
- Biomedical Text Mining and Ontologies 6
- Gene expression and cancer classification 5
- Genetics 11
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 6
- Co-authors
- Julian Parkhill (2 shared papers)Marie‐Adèle Rajandream (2 shared papers)Peter Rice (1 shared paper)Bart Barrell (1 shared paper)B. G. Barrell (3 shared papers)Tim Carver (1 shared paper)Matthew Berriman (1 shared paper)Valerie Wood (18 shared papers)
- Journals
- Nucleic Acids Research (7 papers)Bioinformatics (4 papers)Genetics (3 papers)BMC Genomics (3 papers)Open Biology (2 papers)
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
Kim Rutherford
46 papers receiving 6.2k citations
Kim Rutherford's Hit Papers
Peers
Comparison fields: 5 of 154
- Endocrinology 576
- Molecular Medicine 277
- Microbiology 319
- Molecular Biology 3.1k
- Ecology 1.1k
Countries citing papers authored by Kim Rutherford
This map shows the geographic impact of Kim Rutherford'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 Kim Rutherford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Rutherford more than expected).
Fields of papers citing papers by Kim Rutherford
This network shows the impact of papers produced by Kim Rutherford. 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 Kim Rutherford. The network helps show where Kim Rutherford may publish in the future.
Co-authors
The 25 scholars most cited alongside Kim Rutherford, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artemis: sequence visualization and annotation Hit paper breakdown → | 2000 | 2530 |
| 2 | ACT: the Artemis comparison tool Hit paper breakdown → | 2005 | 1283 |
| 3 | 2007 | 277 | |
| 4 | 2019 | 238 | |
| 5 | 2011 | 232 | |
| 6 | 2012 | 166 | |
| 7 | 2016 | 164 | |
| 8 | 2018 | 126 | |
| 9 | 2021 | 108 | |
| 10 | 2019 | 102 | |
| 11 | 2011 | 91 | |
| 12 | 2015 | 82 | |
| 13 | 2005 | 80 | |
| 14 | 2019 | 64 | |
| 15 | 2017 | 62 | |
| 16 | 2014 | 61 | |
| 17 | 2021 | 61 | |
| 18 | 2001 | 55 | |
| 19 | 2024 | 47 | |
| 20 | 2018 | 33 |
About Kim Rutherford
Kim Rutherford is a scholar working on Molecular Biology, Genetics, Ecology, Ecology, Evolution, Behavior and Systematics and Physiology, having authored 46 papers that have together received 6.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Genomics and Phylogenetic Studies (10 papers), Fungal and yeast genetics research (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Biomedical Text Mining and Ontologies (6 papers), Gene expression and cancer classification (5 papers), Animal Behavior and Reproduction (4 papers) and Marine animal studies overview (3 papers). The work is most often cited by research in Endocrinology (576 citations), Molecular Medicine (277 citations), Microbiology (319 citations), Molecular Biology (3.1k citations) and Ecology (1.1k citations). Kim Rutherford has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Julian Parkhill, Marie‐Adèle Rajandream, Peter Rice, Bart Barrell, B. G. Barrell, Tim Carver, Matthew Berriman, Valerie Wood, Midori A. Harris and Antonia Lock. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Genetics, BMC Genomics and Open 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.