Kathleen Boris‐Lawrie
- Virology top 1%
- HIV Research and Treatment 18
- Molecular Biology top 5%
- RNA Research and Splicing 23
- RNA and protein synthesis mechanisms 16
- RNA modifications and cancer 11
- CRISPR and Genetic Engineering 11
- Immunology top 10%
- T-cell and Retrovirus Studies 9
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology 12
- Infectious Diseases top 10%
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- Virus-based gene therapy research 10
- Co-authors
- Cheryl BolingerShuiming QianHoward M. TeminLianbo YuAmit SharmaAlper YılmazTiffiney R. HartmanSoledad Fernández
- Cited by
- VirologyMolecular BiologyImmunology
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (5 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesSlovakiaIndia
In The Last Decade
Kathleen Boris‐Lawrie
59 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 76
- Virology 526
- Molecular Biology 1.5k
- Immunology 398
- Agronomy and Crop Science 163
- Infectious Diseases 229
Countries citing papers authored by Kathleen Boris‐Lawrie
This map shows the geographic impact of Kathleen Boris‐Lawrie'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 Kathleen Boris‐Lawrie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathleen Boris‐Lawrie more than expected).
Fields of papers citing papers by Kathleen Boris‐Lawrie
This network shows the impact of papers produced by Kathleen Boris‐Lawrie. 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 Kathleen Boris‐Lawrie. The network helps show where Kathleen Boris‐Lawrie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kathleen Boris‐Lawrie, 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 | 2019 | 19 | |
| 3 | 2012 | 74 | |
| 4 | 2012 | 18 | |
| 5 | 2012 | 13 | |
| 6 | 2011 | 80 | |
| 7 | 2010 | 40 | |
| 8 | 2009 | 79 | |
| 9 | 2009 | 82 | |
| 10 | 2009 | 106 | |
| 11 | 2008 | 106 | |
| 12 | 2007 | 44 | |
| 13 | 2006 | 30 | |
| 14 | 2005 | 14 | |
| 15 | 2004 | 9 | |
| 16 | 2004 | 39 | |
| 17 | 2003 | 14 | |
| 18 | 2001 | 30 | |
| 19 | 1993 | 50 | |
| 20 | Plasmid-chromosome interactions in Saccharopolyspora erythraea and Streptomyces lividans. | 1988 | 1 |
About Kathleen Boris‐Lawrie
Kathleen Boris‐Lawrie is a scholar working on Virology, Agronomy and Crop Science and Molecular Biology, having authored 60 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (23 papers), HIV Research and Treatment (18 papers), RNA and protein synthesis mechanisms (16 papers), Animal Disease Management and Epidemiology (12 papers), RNA modifications and cancer (11 papers), CRISPR and Genetic Engineering (11 papers), Virus-based gene therapy research (10 papers) and T-cell and Retrovirus Studies (9 papers). The work is most often cited by research in Virology (526 citations), Molecular Biology (1.5k citations) and Immunology (398 citations). Kathleen Boris‐Lawrie has collaborated with scholars based in United States, Slovakia and India. Frequent co-authors include Cheryl Bolinger, Shuiming Qian, Howard M. Temin, Lianbo Yu, Amit Sharma, Alper Yılmaz, Tiffiney R. Hartman, Soledad Fernández, Daniel R. Schoenberg and Deepali Singh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.