Jonathan Knight

770 citations
18 papers · 340 indexed · h-index 7

Impact in

    • Gene expression and cancer classification
    • Bioinformatics and Genomic Networks
    • Molecular Biology Techniques and Applications
    • CRISPR and Genetic Engineering
    • RNA and protein synthesis mechanisms

Papers in

Jonathan Knight

16 papers receiving 307 citations

Peers

Jonathan Knight
Comparison fields: 5 of 102
  • Molecular Biology 197
  • Reproductive Medicine 22
  • Aging 4
  • Plant Science 72
  • Genetics 47
Replace Carolyn Church Landel with:
Carolyn Church Landel United States
Franz Gruber United Kingdom
Mengmeng Sang China
Shigeyuki Terada Japan
CarloAlberto Redi Italy
Nathan H. Lazar United States
Rebecca E. Wagner United Kingdom
Evgeny Leushkin Russia
Pavol Genzor United States
Amy J. Claydon United Kingdom
Jonathan Knight relative to Carolyn Church Landel United States Carolyn Church Landel's profile →
Citations per field
00.5×2.8×
Carolyn Church Landel · 1×
Citations per year

Countries citing papers authored by Jonathan Knight

Since Specialization
Citations

This map shows the geographic impact of Jonathan Knight'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 Jonathan Knight with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Knight more than expected).

Fields of papers citing papers by Jonathan Knight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Knight. 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 Jonathan Knight. The network helps show where Jonathan Knight may publish in the future.

Co-authors

The 20 scholars most cited alongside Jonathan Knight, 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 Jonathan Knight Line = papers co-authored together Jonathan Knight links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201553
2 20041
3 200350
4 20033
5 200315
6 20031
7 200317
8 20024
9 200214
10 20021
11 20022
12 200240
13 2001126
14 20013
15 20015
16 20010
17 20014
18 20001

About Jonathan Knight

Jonathan Knight is a scholar working on General Agricultural and Biological Sciences, Reproductive Medicine, Endocrinology, Genetics and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 340 indexed citations. Recurring topics across this work include Biotechnology and Related Fields (4 papers), CRISPR and Genetic Engineering (4 papers), Animal Genetics and Reproduction (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Genetically Modified Organisms Research (3 papers), Bioinformatics and Genomic Networks (2 papers), Science, Research, and Medicine (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Molecular Biology (197 citations), Reproductive Medicine (22 citations), Aging (4 citations), Plant Science (72 citations) and Genetics (47 citations). Jonathan Knight has collaborated with scholars based in United States. Frequent co-authors include Alison Abbott, Amy Singer, Sierra Moxon, Xiang Shao, Sridhar Ramachandran, Ceri E. Van Slyke, David Fashena, Yvonne M. Bradford, Patrick Kalita and Christian Pich. Their work appears in journals such as Nature, genesis and Trends in Genetics.

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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