James Knight
Impact in
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Gut microbiota and health
- Gene Regulatory Network Analysis
- Cell Biology top 2%
Papers in
- Co-authors
- Meijia YangGerard CagneyTraci A. MansfieldVaibhav A. NarayanYing LiMaithreyan SrinivasanDaniel LockshonBailey Godwin
- Journals
- Scientific Reports (2 papers)Nature Communications (2 papers)Algorithmica (2 papers)The Journal of Immunology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
James Knight
46 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 4.1k
- Cell Biology 549
- Computational Theory and Mathematics 408
- Genetics 611
- Psychiatry and Mental health 280
Countries citing papers authored by James Knight
This map shows the geographic impact of James 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 James Knight with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Knight more than expected).
Fields of papers citing papers by James Knight
This network shows the impact of papers produced by James 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 James Knight. The network helps show where James Knight may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James Knight, 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 | 2025 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 19 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 8 | |
| 8 | 2019 | 29 | |
| 9 | Translocation of a gut pathobiont drives autoimmunity in mice and humans Hit paper breakdown → | 2018 | 590 |
| 10 | 2018 | 24 | |
| 11 | 2017 | 123 | |
| 12 | 2017 | 61 | |
| 13 | 2017 | 112 | |
| 14 | 2014 | 15 | |
| 15 | 2014 | 33 | |
| 16 | 2008 | 66 | |
| 17 | 2003 | 104 | |
| 18 | 2001 | 3 | |
| 19 | 1992 | 9 | |
| 20 | 1991 | 9 |
About James Knight
James Knight is a scholar working on Health Information Management, Biological Psychiatry, Genetics, Hepatology and Cell Biology, having authored 47 papers that have together received 5.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Respiratory viral infections research (3 papers), Algorithms and Data Compression (3 papers), Genetic Syndromes and Imprinting (2 papers), Sexual function and dysfunction studies (2 papers), Biotin and Related Studies (2 papers), Hormonal and reproductive studies (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). The work is most often cited by research in Molecular Biology (4.1k citations), Cell Biology (549 citations), Computational Theory and Mathematics (408 citations), Genetics (611 citations) and Psychiatry and Mental health (280 citations). James Knight has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Meijia Yang, Gerard Cagney, Traci A. Mansfield, Vaibhav A. Narayan, Ying Li, Maithreyan Srinivasan, Daniel Lockshon, Bailey Godwin, Richard Judson and Stanley Fields. Their work appears in journals such as Scientific Reports, Nature Communications, Algorithmica, The Journal of Immunology and Proceedings of the National Academy of Sciences.
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.