B Sollner-Webb
Impact in
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- RNA regulation and disease
- CRISPR and Genetic Engineering
-
- Cancer-related molecular mechanisms research
Papers in
-
- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- RNA Interference and Gene Delivery 2
- DNA and Nucleic Acid Chemistry 2
-
- Chromosomal and Genetic Variations 2
- Co-authors
- Susan Kass (2 shared papers)Joan A. Steitz (1 shared paper)Kazimierz Tyc (1 shared paper)Michael A. O’Reilly (2 shared papers)O. L. Miller (2 shared papers)Yvonne N. Osheim (2 shared papers)Ann L. Beyer (2 shared papers)Edward B. Mougey (2 shared papers)
- Journals
- Genes & Development (2 papers)Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular and Cellular Biology (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- United States
In The Last Decade
B Sollner-Webb
12 papers receiving 849 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 806
- Cancer Research 45
- Aging 5
- Structural Biology 3
- Plant Science 79
Countries citing papers authored by B Sollner-Webb
This map shows the geographic impact of B Sollner-Webb'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 B Sollner-Webb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B Sollner-Webb more than expected).
Fields of papers citing papers by B Sollner-Webb
This network shows the impact of papers produced by B Sollner-Webb. 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 B Sollner-Webb. The network helps show where B Sollner-Webb may publish in the future.
Co-authors
The 23 scholars most cited alongside B Sollner-Webb, 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 | 1990 | 398 | |
| 2 | 1993 | 150 | |
| 3 | 5'ETS rRNA processing facilitated by four small RNAs: U14, E3, U17, and U3. | 1996 | 84 |
| 4 | 1987 | 59 | |
| 5 | 1986 | 37 | |
| 6 | 1991 | 31 | |
| 7 | 1996 | 28 | |
| 8 | 1984 | 23 | |
| 9 | 1985 | 22 | |
| 10 | 1978 | 20 | |
| 11 | 2001 | 15 | |
| 12 | 1985 | 4 |
About B Sollner-Webb
B Sollner-Webb is a scholar working on Molecular Biology, Plant Science, Epidemiology, Genetics and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 871 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), RNA Interference and Gene Delivery (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Chromosomal and Genetic Variations (2 papers), Trypanosoma species research and implications (2 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Molecular Biology (806 citations), Cancer Research (45 citations), Aging (5 citations), Structural Biology (3 citations) and Plant Science (79 citations). B Sollner-Webb has collaborated with scholars based in United States. Frequent co-authors include Susan Kass, Joan A. Steitz, Kazimierz Tyc, Michael A. O’Reilly, O. L. Miller, Yvonne N. Osheim, Ann L. Beyer, Edward B. Mougey, Elizabeth S. Maxwell and George L. Eliceiri. Their work appears in journals such as Genes & Development, Cell, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and The Journal of Cell 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.