Kim Rutherford

39.9k citations
46 papers · 6.2k indexed · 2 hit papers · h-index 25

Impact in

Papers in

Kim Rutherford

46 papers receiving 6.1k citations

Hit Papers

ACT: the Artemis comparison tool 2005 · 1.3k citations
1.3k200020262008201750010001.5k2.0k2.5k

Peers

Kim Rutherford
Comparison fields: 5 of 156
  • Endocrinology 625
  • Molecular Medicine 308
  • Microbiology 339
  • Molecular Biology 3.4k
  • Ecology 1.2k
Replace Corina Antonescu with:
Corina Antonescu United States
Aron Marchler‐Bauer United States
Ruth Y. Eberhardt United Kingdom
Young Mi Park South Korea
B. Larsson Sweden
Amaia Sangrador‐Vegas Ireland
Penelope Coggill United States
Peter Rice Germany
Adrian R. Tivey United Kingdom
Jannick Dyrløv Bendtsen Denmark
Kim Rutherford relative to Corina Antonescu United States Corina Antonescu's profile →
Citations per field
00.5×1.7×
Corina Antonescu · 1×
Citations per year

Countries citing papers authored by Kim Rutherford

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Kim Rutherford Line = papers co-authored together Kim Rutherford links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20234
2 20235
3 202117
4 2021101
5 20206
6 20206
7 202013
8 201998
9 2019232
10 201829
11 20179
12 201724
13 201628
14 2016164
15 201461
16 201422
17 2012164
18 201191
19
ACT: the Artemis comparison tool
Hit paper breakdown →
20051274
20
Artemis: sequence visualization and annotation
Hit paper breakdown →
20002517

About Kim Rutherford

Kim Rutherford is a scholar working on Physiology, Aging, Developmental Biology, Molecular Biology and Genetics, having authored 46 papers that have together received 6.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (12 papers), Genomics and Phylogenetic Studies (10 papers), Gene expression and cancer classification (7 papers), Biomedical Text Mining and Ontologies (7 papers), Fungal and yeast genetics research (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Reproductive biology and impacts on aquatic species (5 papers) and Animal Behavior and Reproduction (4 papers). The work is most often cited by research in Endocrinology (625 citations), Molecular Medicine (308 citations), Microbiology (339 citations), Molecular Biology (3.4k citations) and Ecology (1.2k 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, Bart Barrell, Peter Rice, 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.

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