Barbara B. Knowles
Impact in
- Molecular Biology top 0.2%
- Pluripotent Stem Cells Research
- Glycosylation and Glycoproteins Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Immunology top 0.5%
- Immunotherapy and Immune Responses
Papers in
- Immunology 49
- Immunotherapy and Immune Responses 24
- T-cell and B-cell Immunology 21
- Genetics 60
- Virus-based gene therapy research 24
- Co-authors
- Davor SolterDavid P. AdenChin C. HoweIvan DamjanovDaniel M. MesserschmidtStanley A. PlotkinPeter W. AndrewsL H Shevinsky
- Journals
- The Journal of Immunology (11 papers)Nature (11 papers)Development (9 papers)Proceedings of the National Academy of Sciences (8 papers)Experimental Cell Research (8 papers)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Barbara B. Knowles
217 papers receiving 17.1k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 11.6k
- Immunology 3.4k
- Genetics 3.3k
- Cell Biology 1.5k
- Cancer Research 1.3k
Countries citing papers authored by Barbara B. Knowles
This map shows the geographic impact of Barbara B. Knowles'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 Barbara B. Knowles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara B. Knowles more than expected).
Fields of papers citing papers by Barbara B. Knowles
This network shows the impact of papers produced by Barbara B. Knowles. 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 Barbara B. Knowles. The network helps show where Barbara B. Knowles may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara B. Knowles, 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 | 2017 | 168 | |
| 2 | 2017 | 92 | |
| 3 | 2016 | 2 | |
| 4 | 2013 | 142 | |
| 5 | 2012 | 247 | |
| 6 | 2006 | 24 | |
| 7 | 2004 | 264 | |
| 8 | 1998 | 28 | |
| 9 | 1996 | 11 | |
| 10 | 1993 | 3 | |
| 11 | 1990 | 7 | |
| 12 | 1988 | 4 | |
| 13 | 1988 | 15 | |
| 14 | 1988 | 20 | |
| 15 | 1985 | 21 | |
| 16 | 1982 | 44 | |
| 17 | 1980 | 58 | |
| 18 | 1980 | 90 | |
| 19 | 1979 | 43 | |
| 20 | 1978 | 224 |
About Barbara B. Knowles
Barbara B. Knowles is a scholar working on Immunology, Genetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 218 papers that have together received 18.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (43 papers), Reproductive Biology and Fertility (27 papers), Pluripotent Stem Cells Research (27 papers), Glycosylation and Glycoproteins Research (24 papers), Virus-based gene therapy research (24 papers), Immunotherapy and Immune Responses (24 papers), CRISPR and Genetic Engineering (22 papers) and T-cell and B-cell Immunology (21 papers). The work is most often cited by research in Molecular Biology (11.6k citations), Immunology (3.4k citations), Genetics (3.3k citations), Cell Biology (1.5k citations) and Cancer Research (1.3k citations). Barbara B. Knowles has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Davor Solter, David P. Aden, Chin C. Howe, Ivan Damjanov, Daniel M. Messerschmidt, Stanley A. Plotkin, Peter W. Andrews, L H Shevinsky, Wilhelmine N. de Vries and Alexei V. Evsikov. Their work appears in journals such as The Journal of Immunology, Nature, Development, Proceedings of the National Academy of Sciences and Experimental Cell Research.
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.